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[Home](/content/ ""/index.html)[Tech News](/content/category/tech-news/ "View all posts in Tech News"/index.html)[AI Paper Summary](/content/category/tech-news/ai-paper-summary/ "View all posts in AI Paper Summary"/index.html)Google AI Introduces ‘ALIGN’ to Scale Up Visual and Vision-Language Representation Learning...

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Excellent visual and vision-language representations are crucial in solving computer vision problems such as image retrieval, image classification, video understanding. That is why visual and vision-language models rely on curated training datasets such as ImageNet, OpenImages, Conceptual Captions, which require expert knowledge and extensive labels. All these datasets need non-trivial data collection and cleaning steps, limiting the size of datasets and hindering the trained models’ scale. In comparison, NLP models use large-scale pre-training on raw text without human labels and have achieved SotA performance on GLUE and SuperGLUE benchmarks.

Google researchers propose a technique to bridge this gap by using publicly available image alt-text data (text appearing in place of an image on a webpage when the image fails to load). The team employs these image alt-text data to train larger, state-of-the-art vision and vision-language models.

The Dataset

Alt-texts describe the image that fails to load on a webpage. Sometimes the text is unrelated to its paired image, making the dataset “noisy.” The researchers constructed a Conceptual Captions dataset to obtain a version of raw English alt-text data (image and alt-text pairs). They applied minimal frequency-based filtering for cleaning instead of heavy filtering and post-processing. The resulting dataset is much larger but at the same time noisier of 1.8B image-text pairs.

Source: https://ai.googleblog.com/2021/05/align-scaling-up-visual-and-vision.html

ALIGN: A Large-scale Image and Noisy-Text Embedding

The team used a simple dual-encoder architecture to build larger and more powerful models quickly. The architecture learns to align visual and language representations of the image and text pairs. Image and text encoders are trained based on contrastive loss that pushes the matched image-text pairs embeddings together while pushing those of non-matched image-text pairs apart.

Scaling up the model size is made easy with the large-scale dataset. The resulting representations are then used for downstream visual and vision-language tasks. Without requiring fine-tuning, ALIGN powers cross-modal search – image-to-text search, text-to-image search, and search with joint image+text queries.

Source: https://ai.googleblog.com/2021/05/align-scaling-up-visual-and-vision.html

Evaluation and Future Work

The learned ALIGN model with EfficientNet-L2 (image encoder) and BERT-Large (text encoder) achieves SOTA performance on several image-text retrieval tasks in zero-shot as well as fine-tuned settings. Furthermore, ALIGN is a robust image representation model that outperforms CLIP and achieves a SOTA result of 85.5% top-1 accuracy on ImageNet.

Source: https://ai.googleblog.com/2021/05/align-scaling-up-visual-and-vision.html

In image classification problems, each class is treated as independent IDs, and the classification layers need to be trained with at least a few shots of labeled data per class. Since class names are also natural language phrases, ALIGN can be easily used for image classification without training data.

Although this methodology offers promising results, it is crucial to analyze the data and the resulting model before using the model in practice. Considerations should be made towards the potential for harmful text data in alt-texts to reinforce such harms. Efforts should be made to balance the data to prevent any reinforcing stereotypes from the web data. Additional analysis is needed to ensure that the demographic distribution of humans and related cultural items does not cause skewed model performance.

Source: https://ai.googleblog.com/2021/05/align-scaling-up-visual-and-vision.html

Paper: https://arxiv.org/pdf/2102.05918.pdf

Tanushree Shenwai

Website | + postsBio

Tanushree Shenwai is a consulting intern at MarktechPost. She is currently pursuing her B.Tech from the Indian Institute of Technology(IIT), Bhubaneswar. She is a Data Science enthusiast and has a keen interest in the scope of application of artificial intelligence in various fields. She is passionate about exploring the new advancements in technologies and their real-life application.

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Microsoft Research Propose LLMA: An LLM Accelerator To Losslessly Speed Up Large Language Model (LLM) Inference With References

• Tanushree Shenwai

Researchers Explore Foundation Models For Generalist Medical Artificial Intelligence

• Tanushree Shenwai

Microsoft AI Open-Sources DeepSpeed Chat: An End-To-End RLHF Pipeline To Train ChatGPT-like Models

• Tanushree Shenwai

Meta AI Releases the Segment Anything Model (SAM): A New AI Model That Can Cut Out Any Object In A Image/Video With A Single Click

• Tanushree Shenwai

UC Berkeley Researchers Introduce Koala: A New AI Chatbot from Fine-Tuned on Dialogue Close to ChatGPT Quality

• Tanushree Shenwai

Meet LLaMA-Adapter: A Lightweight Adaption Method For Fine-Tuning Instruction-Following LLaMA Models Using 52K Data Provided By Stanford Alpaca

• Tanushree Shenwai

Databricks Open-Sources Dolly: A ChatGPT like Generative AI Model that is Easier and Faster to Train

• Tanushree Shenwai

This AI Paper Demonstrates How You Can Improve GPT-4’s Performance An Astounding 30% By Asking It To Reflect on “Why Were You Wrong?”

• Tanushree Shenwai

Meet POTATO: A Free Easy-To-Use Web-Based Annotation Tool

• Tanushree Shenwai

MIT Researchers Introduce LiGO: A New Technique that Accelerates Training of Large Machine-Learning Models, Reducing the Monetary and Environmental Cost of Developing AI Applications

• Tanushree Shenwai

How A Language Model Decides What To Say Next? This New AI Method Called Tuned Lens Can Trace A Language Model’s Prediction As It Develops From One Layer To The Next

• Tanushree Shenwai

Speechmatics Introduces Ursa: A Speech-To-Text System That Delivers Unprecedented Performance Across A Diverse Range of Voices

• Tanushree Shenwai

Researchers From Stanford Release Alpaca: An Instruction-Following Model Based on Meta AI LLaMA 7B

• Tanushree Shenwai

Together Releases The First Open-Source ChatGPT Alternative Called OpenChatKit

• Tanushree Shenwai

Microsoft Research Introduces Visual ChatGPT That Incorporates Different Visual Foundation Models Enabling Users To Interact With ChatGPT

• Tanushree Shenwai

Brave Search Presents An Artificial Intelligence Function Summarizer For Synthesized And Relevant User Search Results

• Tanushree Shenwai

A New AI Research Introduces CACTI: A Framework For Multi-Task Multi-Scene Robot Manipulation

• Tanushree Shenwai

Deepmind Open Sources Tracr: A Tool for Compiling Human-Readable Code to the Weights of a Transformer Model

• Tanushree Shenwai

Microsoft Research Proposes SMART: A Generic Pretraining Framework For Multi-Task Sequential Decision Making

• Tanushree Shenwai

Stanford AI Releases Stanford Human Preferences (SHP) Dataset: A Collection Of 385K Naturally Occurring Collective Human Preferences Over Text

• Tanushree Shenwai

Google AI Introduces FRMT: A New Dataset And Evaluation Benchmark For Few-Shot Region-Aware Machine Translation

• Tanushree Shenwai

Meta AI Introduces GenAug: A New System That Uses Text2Image Models To Enable Robots To Transfer Behaviors Zero-Shot From A Simple Demonstrated Scene To Unseen Scenes of Varying Complexity

• Tanushree Shenwai

Google AI and Tel Aviv Researchers Introduce FriendlyCore: A Machine Learning Framework For Computing Differentially Private Aggregations

• Tanushree Shenwai

This AI Research Analyzes The Zero-Shot Learning Ability of ChatGPT by Evaluating It on 20 Popular NLP Datasets

• Tanushree Shenwai

A New AI Research Investigates The Benefits of Training Expert Language Models Over Instruction Tuning

• Tanushree Shenwai

A New Artificial Intelligence Study Shows How Large Language Models LLMs Like GPT-3 Can Learn A New Task From Just A Few Examples Without The Need For Any New Training Data

• Tanushree Shenwai

Google And Columbia University Researchers Introduce Mnemosyne Optimizer: A Learning-To-Learn System To Train Transformers With Transformers

• Tanushree Shenwai

Salesforce AI Research Introduces BLIP-2: A Generic And Efficient Vision-Language Pre-Training Strategy That Bootstraps From Frozen Image Encoders And Frozen Large Language Models (LLMs)

• Tanushree Shenwai

A New Artificial Intelligence (AI) Benchmark Called DeepPrivacy2 Provides Realistic Anonymization of Human Faces and Whole-Body

• Tanushree Shenwai

UCLA Researchers Developed A New Deep Learning-Based Framework That Allows A Robot To Tackle Paper Folding And The Oriental Art of Origami

• Tanushree Shenwai

Researchers at Sony Introduces M2FNet: A Multi-modal Fusion Network for Emotion Recognition in Conversation

• Tanushree Shenwai

A New AI-Based Method Called SparseGPT can Prune Generative Pretrained Transformer (GPT) Family Models in One Shot to at least 50% Sparsity

• Tanushree Shenwai

Researchers Predict Semantically Meaningful and Calibrated Uncertainty Intervals in the Latent Space of a Generative Adversarial Network

• Tanushree Shenwai

MIT Team Introduces Sybil: A Deep Learning Model to Predict Future Lung Cancer Risk From a Single Low-Dose Chest Computed Tomography

• Tanushree Shenwai

Microsoft AI Releases NTREX-128: A New Data Set for Machine Translation (MT) Evaluation from English into a Total of 128 Target Languages

• Tanushree Shenwai

LangChain Open-Sources Its Chatbot For Answering Queries About LangChain’s Documentation

• Tanushree Shenwai

Amazon AI Research Studies Private Aggregation Of Teacher Ensemble Learning For End-To-End Speech Recognition

• Tanushree Shenwai

What is Generative AI? Concept and Applications Explained

• Tanushree Shenwai

Researchers From China Introduce DeepMatcher: A Deep Transformer-based Network for Robust and Accurate Local Feature Matching

• Tanushree Shenwai

This Artificial Intelligence Research Introduces A Vision-Language-Commonsense Transformer Model That Incorporates Contextualized Commonsense For External Knowledge Visual Questioning Tasks

• Tanushree Shenwai

Latest Machine Learning Research From Deepmind Explores The Connection Between Gradient-Based Meta-Learning And Convex Optimization

• Tanushree Shenwai

This Artificial Intelligence (AI) Research Proposes A New Poisoning Attack That Could Trick AI-Based Coding Assistants Into Suggesting Dangerous Code

• Tanushree Shenwai

Researchers Use Machine Learning To Forecast Amine Emissions From A Carbon Capture Plant

• Tanushree Shenwai

This Artificial Intelligence (AI) Research From Norway Introduces Tsetlin Machine-Based Autoencoder For Representing Words Using Logical Expressions

• Tanushree Shenwai

DeepMind’s Latest AI Research Reduces Energy Usage For Cooling Buildings

• Tanushree Shenwai

This Artificial Intelligence (AI) Research Demonstrates How Large Language Models (LLMs) are Capable of Self-Improving

• Tanushree Shenwai

DeepMind and Google Introduce GraphCast: A Fast and Scalable Machine Learning Weather Simulator

• Tanushree Shenwai

Researchers At Stanford Propose Deep Learning Models For Predicting RNA Degradation Via Dual Crowdsourcing

• Tanushree Shenwai

Google AI Propose A Novel Generative Modeling Framework Called ‘EHR-Safe’ For Generating Highly Realistic And Privacy-Preserving Synthetic EHR Data

• Tanushree Shenwai

Amazon Researchers Release CoCoA-MT: A Dataset and Benchmark for Controlling formality in Machine Translation

• Tanushree Shenwai

Latest AI Research Introduces Contrast-Consistent Search (CCS): A Novel Approach To Detect Knowledge From Model Representations

• Tanushree Shenwai

This AI Paper Proposes GhostNetV2 to Enhance Cheap Operation with Long-Range Attention

• Tanushree Shenwai

A Memristor Crossbar-Based Learning Method For Activity Difference Training of Deep Learning Models

• Tanushree Shenwai

Meta AI Releases Data2vec 2.0:  An Efficient Self-Supervised Learning For Machine Learning Tasks

• Tanushree Shenwai

Amazon Research Introduces MTGenEval: A New Benchmark For Evaluating Gender Bias In Machine Translation

• Tanushree Shenwai

Salesforce Presents AI Summarist: A Conversational AI Tool That Helps User Manage Their Information Consumption As Per Their Work Preferences

• Tanushree Shenwai

RISELab Team At UC Berkeley Open Sources Skypilot: A Novel Framework That Targets Cloud Cost Optimization for Machine Learning and Data Science

• Tanushree Shenwai

This Artificial Intelligence (AI) Paper Presents A Study On The Model Update Regression Issue In NLP Structured Prediction Tasks

• Tanushree Shenwai

Latest Machine Learning (ML) Research From CMU Presents Causal Imitation Learning Under Temporally Correlated Noise

• Tanushree Shenwai

MIT Researchers Introduce A Machine Learning Framework That Allows Cooperative Or Competitive AI Agents To Find An Optimal Long-Term Solution

• Tanushree Shenwai

Meet MultiRay: Meta AI’s New Platform For Efficiently Running Large-Scale Artificial Intelligence (AI) Models

• Tanushree Shenwai

Drexel University Introduces TorchFL: A Python Library for Prototyping and Experimentation of Federated Learning Using State-of-the-Art Models and Datasets

• Tanushree Shenwai

Researchers at MIT Solve a Differential Equation Behind the Interaction of Two Neurons Through Synapses to Unlock a New Type of Speedy and Efficient Artificial Intelligence AI Algorithm

• Tanushree Shenwai

AWS AI Labs Propose A Method That Predicts Bias In Face Recognition Models Using Unlabeled Data

• Tanushree Shenwai

Meta AI Has Built A Neural Theorem Prover That Has Solved 10 International Math Olympiad (IMO) Problems — 5x More Than Any Previous Artificial Intelligence AI System

• Tanushree Shenwai

Amazon AI Researchers Propose A New Deep Learning-Based Method For Adapting An MDE Model Trained On One Labeled Dataset To Another, Unlabeled Dataset

• Tanushree Shenwai

A Computer Science Researcher At Aston University Has Used Artificial Intelligence (AI) To Show That We Are Not As Individual As We May Like To Think

• Tanushree Shenwai

Meta Uses Artificial Intelligence (AI) To Compress Audio Files For Quick Sharing

• Tanushree Shenwai

Ensign InfoSecurity Researchers Present ‘TypoSwype’: An Artificial Intelligence (AI) Based Imaging Approach to Detect Typosquatting Attacks

• Tanushree Shenwai

Microsoft AI Research Introduces DeepSpeed-MII, A New Open-Source Python Library From DeepSpeed That Speeds Up 20,000+ Widely Used Deep Learning Models

• Tanushree Shenwai

Meta AI Announces Release of ‘Grand Teton’: The Next-Generation Artificial Intelligence (AI) Hardware Platform At Scale

• Tanushree Shenwai

Google AI Introduces Unified Language Learner (UL2 20B): A Breakthrough Language Pre-Training Paradigm

• Tanushree Shenwai

Check Out How These Illinois Tech AI Researchers Extracted Personal Information From Anonymous Cell Phone Data Using Machine Learning

• Tanushree Shenwai

DeepMind Introduces the Perception Test, a New Multimodal Benchmark Using Real-World Videos to Help Evaluate the Perception Capabilities of a Machine Learning Model

• Tanushree Shenwai

Salesforce AI Research Proposes A ‘Burn After Reading’ Framework For Data Privacy Where User Data Samples Are Immediately Deleted After They’re Processed

• Tanushree Shenwai

MIT Researchers Propose DIFFDOCK: A Diffusion Generative Model Tailored to the Task of Molecular Docking

• Tanushree Shenwai

This Google AI’s New Audio Generation Framework, ‘AudioLM,’ Learns To Generate Realistic Speech And Piano Music By Listening To Audio Only

• Tanushree Shenwai

Google AI Introduces Frame Interpolation for Large Motion (FILM): A New Neural Network Architecture To Create High-Quality Slow-Motion Videos From Near-Duplicate Photos

• Tanushree Shenwai

MIT And IBM Researchers Present A New Technique That Enables Machine Learning Models To Continually Learn From New Data On Intelligent Edge Devices Using Only 256KB Of Memory

• Tanushree Shenwai

A New Study by Google and DeepMind Introduces Geometric Complexity (GC) for Neural Network Analysis and Understanding of Deep Learning Models

• Tanushree Shenwai

Researchers at Meta AI Introduce EditEval: An Instruction-Based Benchmark for Text Improvements

• Tanushree Shenwai

IBM and MIT Researchers Introduce a New Machine Learning Approach that Finds Nonlinear Patterns of Neurodegenerative Disease Progression

• Tanushree Shenwai

Microsoft Announces The Release Of Their Two Billion Parameter Latest Vision-Language AI Model Called BEiT-3

• Tanushree Shenwai

LinkedIn Open-Sources ‘Venice,’ LinkedIn’s Derived Data Platform that Powers more than 1800 Datasets

• Tanushree Shenwai

NVIDIA And Broad Institute Collaborate To Introduce Terra Cloud Platform Equipped With Artificial Intelligence (AI) For Accelerating BioMedical Research

• Tanushree Shenwai

Salesforce AI Open-Sources ‘LAVIS,’ A Deep Learning Library For Language-Vision Research/Applications

• Tanushree Shenwai

NVIDIA Introduces the NVIDIA IGX Platform for Medical Edge AI Use Cases

• Tanushree Shenwai

NVIDIA Introduces BioNeMo Framework For Training And Deploying Large Biomolecular Language Modes At SuperComputing Scale

• Tanushree Shenwai

CMU Researchers Propose Persistent Independent Particles (PIPs): A Computer Vision Method For Multi-frame Point Trajectory Estimation Through Occlusions

• Tanushree Shenwai

Google AI Introduces PaLI: A Jointly-Scaled Multilingual Language-Image Model in Over 100 Languages

• Tanushree Shenwai

Microsoft Team Developed Confidential Consortium Framework (CCF) To Bring Efficiency and Usability To A Decentralized Trust Model

• Tanushree Shenwai

Google AI Introduces A Multi-Axis Approach for Vision Transformer and MLP Models

• Tanushree Shenwai

Meta AI Open Sources Flashlight: Fast and Flexible Machine Learning Toolkit in C++

• Tanushree Shenwai

Researchers From Hong Kong Introduce A Phonetic-Semantic Pre-Training Model for Robust Speech Recognition

• Tanushree Shenwai

Google AI Introduces a Machine Learning-Generated Sensory Map Called ‘Principal Odor Map’ (POM) That Enables the Prediction of Odors from Unseen Molecules

• Tanushree Shenwai

Stability AI Open-Sources Stable Diffusion: An Artificial Intelligence Model That Converts Text To Image

• Tanushree Shenwai

A New Deep Learning Approach Developed at MIT Identifies Undiagnosable Cancers by Taking a Closer Look the Gene Expression Programs Related to Early Cell Development and Differentiation

• Tanushree Shenwai

Researchers at Sony Computer Science Laboratories (CSL) have developed a new Deep Learning method to enhance and restore the quality of heavily compressed songs and audio recordings

• Tanushree Shenwai

An Artificial Intelligence (AI) System Learns to Play Soccer from Scratch: From Motor Control to Team Play in Simulated Humanoid Football

• Tanushree Shenwai

Researchers at MIT, Cornell, and McGill University created a new Machine Learning Model that, on its own discovers Linguistic Rules that often match up with those created by Human Experts

• Tanushree Shenwai

Amazon AI Researchers Introduce MEMENTO: Neural Model for Estimating Individual Treatment Effects for Multiple Treatments

• Tanushree Shenwai

To Enable Advanced Research on Artificial Humanoid Control, Microsoft’s Robotics Team is Releasing A Library of Pre-Trained Simulated Humanoid Control Models with Enriched Data for Training New Ones

• Tanushree Shenwai

DeepMind AI Research Group Grounds the Causal Modeling of Artificial Intelligence Systems by Introducing an Algorithm for Discovering Agents from Empirical Data

• Tanushree Shenwai

Using Graph Neural Networks, CMU Researchers Trained Generative Adversarial Networks to Correctly Predict the Coherent Orientations of Galaxies in a State-of-the-Art Cosmological Simulation

• Tanushree Shenwai

Google AI Introduces OptFormer: The First Transformer-Based Framework For Hyperparameter Tuning

• Tanushree Shenwai

Meet Sipeed’s TinyMaix: An Open-Source Lightweight Machine Learning Library For Microcontrollers

• Tanushree Shenwai

Salesforce AI Propose A Novel Framework That Trains An Open Vocabulary Object Detector With Pseudo Bounding-Box Labels Generated From Large-Scale Image-Caption Pairs

• Tanushree Shenwai

Amazon AI Introduces ‘PAVE’: A Novel Reinforcement Learning Model That Uses Lazy-MDP Formalism To Improve Recall of Product Attribute Extraction Models

• Tanushree Shenwai

The Latest Language Model From Meta AI, ‘Atlas,’ Has Outperformed Previous Models Like ‘Palm’ And Reached Over 42% Accuracy On Natural Questions Using Only 64 Examples

• Tanushree Shenwai

Flower Team Releases Flower 1.0: A Friendly Federated Learning Framework

• Tanushree Shenwai

University of Arizona and Microsoft AI Research Presents ‘TextWorldExpress’: A High-Performance Text-Game Simulator That Boosts Simulation Upto One Million Steps Per Second

• Tanushree Shenwai

IBM Open-Sources Label Sleuth: Allowing Users Without Machine Learning Knowledge to Create Unique Text Classification Models From Scratch

• Tanushree Shenwai

Inspired By A Fiddler Crab Eye, Researchers Created The First Artificial Vision System That Can See Both On Land And Underwater

• Tanushree Shenwai

CMU Researchers Open-Source ‘auton-survival’: A Comprehensive Python Code Repository of User-Friendly, Machine Learning Tools for Working with Censored Time-to-Event Data

• Tanushree Shenwai

Google AI Research Introduces Byte-Stream Sequence Models For Efficient Sequence Modeling For On-Device Machine Learning ML

• Tanushree Shenwai

Baidu and BioMap AI Research Open-Sources HelixFold-Single: An End-To-End MSA-Free Protein Structure Prediction Pipeline

• Tanushree Shenwai

DeepMind Expands Predicted Structures For Nearly All Cataloged Proteins Increasing AlphaFold DB’s Size By Over 200x

• Tanushree Shenwai

Researchers At Oxford Have Created An On-Chip Optical Processor That Can Detect Similarities In Datasets Up To 1,000 Times Faster Than Traditional Machine Learning Algorithms

• Tanushree Shenwai

Amazon AI Research Presents A Formal Method To Locate Root Causes Of Outliers

• Tanushree Shenwai

Researchers use Deep Neural Network-based Quantum Simulations and Quasichemical Theory for Accurate Modeling of Molten Salt Thermodynamics

• Tanushree Shenwai

Open AI Releases the Beta Version of DALL·E 2 for Users in their Waitlist

• Tanushree Shenwai

Meta AI Open-Sources Theseus: A Python Library For Encoding Domain Knowledge In End To End Artificial Intelligence Models

• Tanushree Shenwai

Microsoft Team Introduces Confidential Computing Offering Trusted Execution Environment

• Tanushree Shenwai

Meta AI Research Releases ‘Make-A-Scene’: A Novel Text-To-Image Method That Enables You To Create Images Using Text Prompts And Freeform Sketches

• Tanushree Shenwai

Meet MutableAI; A Machine Learning Powered Python Code Assistant for Jupyter

• Tanushree Shenwai

MIT Researchers Develop EquiBind: A Geometric Deep Learning Model That Becomes The Fastest Computational Molecular Docking Models

• Tanushree Shenwai

Amazon AI Researchers Introduces ReFinED: A Novel Entity Linking (EL) System That Improves Entity Linking Between Texts And Knowledge Bases

• Tanushree Shenwai

BigScience AI Researchers Open-Source ‘BLOOM’: An Autoregressive Multilingual Large Language Model Larger Than GPT-3 and OPT-175B

• Tanushree Shenwai

CMU Researchers Explain the Effectiveness of AutoML for Diverse Tasks Using AutoML Decathlon and NAS-Bench-360

• Tanushree Shenwai

Meet ‘Piction Health’, An MIT-Based Startup That Uses Machine Learning And Computer Vision To Help Physicians Identify And Manage Skin Disease

• Tanushree Shenwai

AI2’s PRIOR Team Introduces Unified-IO: The First Neural Model To Execute Various AI Tasks Spanning Classical Computer Vision, Image Synthesis, Vision-and-Language, and Natural Language Processing NLP

• Tanushree Shenwai

MIT Researchers Developed Tools to Help Data Scientists Make the Features Used in Machine-Learning Models More Understandable for End-Users

• Tanushree Shenwai

Google AI Introduces Minerva: A Natural Language Processing (NLP) Model That Solves Mathematical Questions

• Tanushree Shenwai

Researchers Demonstrate How Today’s Autonomous Robots, Due To Machine Learning Bias, Could Be Racist, Sexist, And Enact Malignant Stereotypes

• Tanushree Shenwai

Instacart Introduces Griffin: An Extensible And Self-Serving Machine Learning Platform

• Tanushree Shenwai

Yandex Open-Sources YaLM Model With 100 Billion Parameters

• Tanushree Shenwai

Stanford and MIT CSAIL Researchers Propose ‘RoboCraft’: A Novel Framework That Allows Robots To Manipulate Deformable Materials From Visual Inputs Using Graph Neural Networks (GNNs)

• Tanushree Shenwai

OpenAI Introduces Video PreTraining (VPT), A Novel Semi-Supervised Imitation Learning Technique

• Tanushree Shenwai

Microsoft AI Researchers Open-Source ‘GODEL’: A Large Scale Pre-Trained Language Model For Dialog

• Tanushree Shenwai

Meta AI Team Introduces LegoNN: A New ML Framework For Building Modular Encoder-Decoder Models

• Tanushree Shenwai

Cornell Physicists And Computer Scientists Collaborated To Build An Unsupervised And Interpretable Machine Learning Algorithm, XRD Temperature Clustering (X-TEC)

• Tanushree Shenwai

Researchers at Intel Labs Creates A New Data Science Pipeline That Accelerates Single-cell RNA-Seq Analysis

• Tanushree Shenwai

Salesforce Researchers Open-Source ‘Taichi’: A Python Library For Few-Shot NLP

• Tanushree Shenwai

Meta AI Research Releases A Direct Speech-To-Speech Translation (S2ST) Approach That Enables Faster Inference And Supports Translation Between Unwritten Languages

• Tanushree Shenwai

Researchers Introduce VideoINR: A Model For Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution

• Tanushree Shenwai

New Amazon AI Study Introduces Pyramid-BERT To Reduce Complexity via Successive Core-set based Token Selection

• Tanushree Shenwai

Meet ‘VALHALLA’, a Machine Learning Method That can Hallucinate an Image of Written Words, and Then Use It to Help Translate The Text into Another Language

• Tanushree Shenwai

Cohere, OpenAI, and AI21 Labs Introduce a Set of Key Principles to Help Providers of Large Language Models (LLMs) Mitigate the Risks of AI

• Tanushree Shenwai

Snap and Northeastern University Researchers Propose EfficientFormer: A Vision Transformer That Runs As Fast As MobileNet While Maintaining High Performance

• Tanushree Shenwai

Salesforce AI Research Introduces RnG-KBQA: A Novel Framework That Solves Generalization Challenges In Question Answering Over Knowledge Bases

• Tanushree Shenwai

LG AI Research’s First AI Artist, ‘Tilda’, Creates A New Sustainable Clothing Collection Made By Combining Digital Waste With Secondhand Denim and Materials

• Tanushree Shenwai

Researchers Introduce ruDALL-E For Generating Images from Text In Russia

• Tanushree Shenwai

AI Researchers From PRIOR@AI2 Release ‘GRIT’: A General Robust Image Task Benchmark For Evaluating Computer Vision Model’s Performace

• Tanushree Shenwai

DoorDash Introduces Dash-AB: A Centralized Library For Statistical Analysis

• Tanushree Shenwai

Borealis AI Research Introduces fAux:  A New Approach To Test Individual Fairness via Gradient Alignment

• Tanushree Shenwai

Google AI Team Introduces Imagen: An AI System That Creates Photorealistic Images From Input Text

• Tanushree Shenwai

Salesforce AI Research Enhances Multi-Agent Reinforcement Learning via PyTorch Lightning and WarpDrive

• Tanushree Shenwai

ETH Zürich Team Introduces A Novel Method To Decode Text From Accelerometer Signals Sensed At The User’s Wrist Using A Wearable Device

• Tanushree Shenwai

AI Researchers From AI21 Labs Introduce Three Novel Approaches That Specializes In Frozen Language In Multiple Tasks

• Tanushree Shenwai

Researchers at Champalimaud Foundation in Portugal Introduce a Bi-Directional Neural Network that gets Visual and Motor Circuits in Sync

• Tanushree Shenwai

AI Researchers From Universidad Rey Juan Carlos, Spain Propose A New Method Of Contact Deformations Machine Learning For Real-Time Dynamic Simulation

• Tanushree Shenwai

AI Researchers From China Propose Head Swapper (HeSer) For Few-Shot Head Swapping in the Wild

• Tanushree Shenwai

Microsoft AI Team Proposes Floquet Codes: A New Class Of Quantum Error Correction Codes That Are Well Suited To Topological Qubits

• Tanushree Shenwai

Google AI Introduces GraphWorld: A Methodology For Analyzing The Performance Of GNN Architectures On Millions Of Synthetic Benchmark Datasets

• Tanushree Shenwai

AI2 Introduces Efficient Hierarchical Domain Adaptation for Pretrained Language Models

• Tanushree Shenwai

MIT And IBM Team Developed A Neural Network Pipeline, Called ‘RISP’, That Can Capture The Characteristics Of A Physical System’s Dynamic Motion From Video

• Tanushree Shenwai

Northeastern University and Microsoft Researchers Propose A Novel Two-Branch Technique That Expands StyleGAN’s Latent Space

• Tanushree Shenwai

AI2 Open-Sources ‘LM-Debugger’: An Interactive Tool For Inspection And Intervention In Transformer-Based Language Models

• Tanushree Shenwai

Microsoft AI Researchers Develop MoLeR: A Deep Learning-Based Generative Model That Enables Efficient Drug Design

• Tanushree Shenwai

Researchers From China Introduce An Hybrid AI-HPC Framework In Their Latest Research To Demonstrate The Effectiveness Of Solving The Quantum Many-Body Problem Via Deep Learning Methods On The Supercomputer Platform

• Tanushree Shenwai

Baidu Researchers Introduce PP-Matting: A Trimap-Free Architecture That Can Achieve High-Accuracy Natural Image Matting

• Tanushree Shenwai

Researchers Release Cleanlab 2.0: An Open-Source Python Framework For Machine Learning And Analytics With Messy, Real-World Data

• Tanushree Shenwai

UC Berkeley And Intel Labs AI Team Introduces GAN-Tuned And Physics-Based Noise Model That Boosts Video Quality In Dark

• Tanushree Shenwai

Nasa’s SpaceML Tool Introduces A New Six-Stage Pipeline To Automate The Classification Of Meteors From Non-Meteors Using Machine Learning

• Tanushree Shenwai

MIT Team Introduces STEGO: An Algorithm That Can Jointly Detect And Segment Things Down To The Last Pixel Without Any Human

• Tanushree Shenwai

Researchers At UCF Are Developing Brain-Like Devices To Enable Artificial Intelligence (AI) To Work From Anywhere, Without Connecting To The Internet

• Tanushree Shenwai

Salesforce AI Researchers Introduce Converse: A Task-Oriented Dialogue System That Simplifies Chatbot Building And Handles Complex Tasks

• Tanushree Shenwai

Latest Research From Stanford Introduces ‘Domino’:  A Python Tool for Identifying and Describing Underperforming Slices in Machine Learning Models

• Tanushree Shenwai

Researchers, Including Yann Lecun, Propose ‘projUNN’: An Efficient Method For Training Deep Neural Networks With Unitary Matrices

• Tanushree Shenwai

OpenAI Introduces DALL-E 2: A New AI System That Can Create And Edit Realistic Images And Art From A Description In Natural Language

• Tanushree Shenwai

Google AI Introduces a Common Voice-Based Speech-to-Speech Translation Corpus (CVSS) That Can Be Directly Used For Training Direct S2ST Models Without Any Extra Processing

• Tanushree Shenwai

Amazon Researchers Developed a Universal Model Integration Framework That Allows To Customize Production Voice Models in a Quick and Scalable Way

• Tanushree Shenwai

Twitter Releases ‘Qurious’ For Next-Generation Data Insights Using Natural Language Queries

• Tanushree Shenwai

Oracle Releases MySQL HeatWave ML That Adds Powerful Machine Learning Capabilities to MySQL Applications

• Tanushree Shenwai

Meta AI Team Open-Sources Mephisto: A New Platform For Open And Collaborative Way Of Collecting Data To Train ML Models

• Tanushree Shenwai

Google Docs Now Auto-Generate Short Summaries Using Machine Learning

• Tanushree Shenwai

Spotify Employs Natural Language Search/Semantic Search For Podcast Episodes

• Tanushree Shenwai

Microsoft Enhances its Translator, a Microsoft Azure Cognitive Service, with Z-code Mixture of Experts (MoE) models, to Boost Efficiency and Quality

• Tanushree Shenwai

Google AI and UC Berkely Researchers Introduce A Deep Learning Approach Called ‘PRIME’ That Generates AI Chip Architectures By Drawing From Existing Blueprints And Performance Figures

• Tanushree Shenwai

OpenAI Releases New Version of GPT-3 and Codex That Can Edit or Insert Content Into Existing Text

• Tanushree Shenwai

MIT Researchers Developed A Machine-Learning Model To Generate Extremely Realistic Synthetic Data That Can Train Another Model For Downstream Vision Tasks

• Tanushree Shenwai

Microsoft Introduces ‘PeopleLens’: An Open-Ended Artificial Intelligence System That Uses Computer Vision Algorithms To Help Young People Who Are Blind To Engage With Their Immediate Social Surroundings

• Tanushree Shenwai

MIT Researchers Suggest That a Certain Type of Robust Computer-Vision Model Perceives Visual Representations Similarly To The Way Humans Do Using Peripheral Vision

• Tanushree Shenwai

Researchers From Italy Use Machine Learning To Distinguish Different Stages And Severity Of Parkinson’s Disease By Voice

• Tanushree Shenwai

Microsoft’s Latest Machine Learning Research Introduces μTransfer: A New Technique That Can Tune The 6.7 Billion Parameter GPT-3 Model Using Only 7% Of The Pretraining Compute

• Tanushree Shenwai

Google AI Implements Machine Learning Model That Employs Federated Learning With Differential Privacy Guarantees

• Tanushree Shenwai

Researchers From CMU and LinkedIn Open-Sources The Implementation of PASS (Performance-Adaptive Sampling Strategy) For Deep Learning

• Tanushree Shenwai

Google and Cornell Researchers Introduce FLASH: A Machine Learning Model That can Achieve High Transformer Quality in Linear Time

• Tanushree Shenwai

Researchers at University of Arizona Introduce a New Method to Automatically Generate Radar-Camera Datasets for Deep Learning Applications

• Tanushree Shenwai

Google Researchers Use Machine Learning Approach To Annotate Protein Domains

• Tanushree Shenwai

Salesforce AI Research Propose ‘BLIP’: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

• Tanushree Shenwai

Meta AI Introduces ‘No Language Left Behind’ Project: An AI Model To Support Machine Translation For Low-Resource Languages

• Tanushree Shenwai

Researchers From MIT and Harvard Finds When and How a Machine-Learning Model is Capable of Overcoming Dataset Bias

• Tanushree Shenwai

GitHub Code Scanning Now Uses Machine Learning (ML) to Alert Developers To Potential Security Vulnerabilities in Their Code

• Tanushree Shenwai

Google AI Propose a Deep Learning–based Algorithm to Improve Medical Ventilator Control for Invasive Ventilation

• Tanushree Shenwai

Google AI Introduces 4Ms Approach to Reduce Carbon Emission of Machine Learning Models

• Tanushree Shenwai

Meta AI Researchers Upgrade Their Machine Learning-Based Image Segmentation Models For Better Virtual Backgrounds in Video Calls And Metaverse

• Tanushree Shenwai

TensorFlow Similarity Boost Machine Learning Model’s Accuracy Using Self-Supervised Learning

• Tanushree Shenwai

Uber Explores Deep Learning To Develop ‘DeepETA’: A Low-Latency Deep Neural Network Architecture For ETA Prediction

• Tanushree Shenwai

Alibaba Open-Sources ‘KNAS’: An Automated Machine Learning Algorithm That Evaluates Given Architectures Without Training 

• Tanushree Shenwai

Deepmind’s Latest Machine Learning Research Automatically Find Inputs That Elicit Harmful Text From Language Models

• Tanushree Shenwai

Microsoft AI Research Introduces A New Reinforcement Learning Based Method, Called ‘Dead-end Discovery’ (DeD), To Identify the High-Risk States And Treatments In Healthcare Using Machine Learning

• Tanushree Shenwai

MIT Researchers Open-Source ‘Dynamo’: A Machine Learning-Based Python Framework For Gaining Insights Into Dynamic Biological Processes

• Tanushree Shenwai

Common Probability Distributions: Road Towards Data Science

• Tanushree Shenwai

Latest Research Introduces Brain-Computer-Interface That Changes Robot Manipulator’s Motion Trajectories Using Inverse Reinforcement Learning (IRL)

• Tanushree Shenwai

Google Open-Sources ‘DeepNull’: A Method That Identifies And Adjusts For Non-Linear And Interactive Covariate Effects Using A Deep Neural Network

• Tanushree Shenwai

Deepmind Introduces ‘AlphaCode’: A Code Generation System With Advanced Machine Learning Applied To Solving Competitive Programming Problems

• Tanushree Shenwai

TensorFlow Team Introduce BlazePose GHUM Posture Estimation Model and Selfie Segmentation For Body Segmentation Using MediaPipe and TensorFlow.js

• Tanushree Shenwai

Cornell And NTT Researchers Introduces Deep Physical Neural Networks To Train Physical Systems To Perform Machine Learning Computations Using Backpropagation

• Tanushree Shenwai

Meta AI Research Proposes ‘OMNIVORE’: A Single Vision (Computer Vision) Model For Many Different Visual Modalities

• Tanushree Shenwai

Researchers Introduce ‘SimpleBits’: An Information-Reduction Strategy That Learns To Synthesize Simplified Inputs For Neural Network Understanding

• Tanushree Shenwai

OpenAI Releases Three Embedding Model Families To Optimize Text Search, Code Search and Text Similarity

• Tanushree Shenwai

Introduction To Federated Learning: Enabling The Scaling Of Machine Learning Across Decentralized Data Whilst Preserving Data Privacy

• Tanushree Shenwai

Understanding No-Code AI And Top No-Code Machine Learning (ML) Tools For Some DIY ML Projects

• Tanushree Shenwai

Latest MIT Research To Test Whether Popular Methods For Understanding Machine Learning Models Are Working Correctly

• Tanushree Shenwai

Google Health’s New AI Study Achieves New Advances In Identification Of Genetic Diseases Using Machine Learning

• Tanushree Shenwai

Researchers Introduce High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function

• Tanushree Shenwai

Uber Releases V1.1 of Orbit: A Python Package to Perform Bayesian Time-Series Analysis and Forecasting

• Tanushree Shenwai

CMU Researchers Propose A Computer Vision-Based Approach With Data-Frugal Deep Learning To Optimize Microstructure Imaging

• Tanushree Shenwai

New AI Research Study On The Accuracy Of Distortion Metrics For Audio Adversarial Attacks on Machine Learning Models

• Tanushree Shenwai

Coqui Introduces ‘YourTTS’: A Zero-Sample Text-to-Speech Model With State-of-The-Art (SOTA) Results

• Tanushree Shenwai

Researchers Use Machine Learning To Repair Genetic Damage

• Tanushree Shenwai

Avalanche Introduces hAIsten AI: A Low-Code SaaS Solution That Speeds Up AI Application Development

• Tanushree Shenwai

Understanding The Artificial Intelligence of Things (AIoT)

• Tanushree Shenwai

Amazon Research Introduces Deep Reinforcement Learning For NLU Ranking Tasks

• Tanushree Shenwai

ETH Zurich Team Introduce Exemplar Transformers: A New Efficient Transformer Layer For Real-Time Visual Object Tracking

• Tanushree Shenwai

Baidu And PCL Team Introduce ERNIE 3.0 Titan: A Pre-Training Language Model With 260 Billion Parameters

• Tanushree Shenwai

Researchers At Johns Hopkins Introduce A Machine Learning Model That Can Allow Computers To Understand Human Conversation

• Tanushree Shenwai

UC Berkeley Researchers Introduce the Unsupervised Reinforcement Learning Benchmark (URLB)

• Tanushree Shenwai

Researchers Demonstrate Face Detection in Untrained Deep Neural Networks

• Tanushree Shenwai

A New Google Research Introduces ALX For Large Scale Matrix Factorization on TPUs

• Tanushree Shenwai

Purdue University Research Introduces Parsimonious Neural Networks (PNNs) That Learn Interpretable Physical Laws Using Machine Learning

• Tanushree Shenwai

UC Berkeley Research Explains How Self-Supervised Reinforcement Learning Combined With Offline Reinforcement Learning (RL) Could Enable Scalable Representation Learning

• Tanushree Shenwai

OpenAI Releases A New Feature That Allows Developers To Customize GPT-3, Its Powerful Natural Language Processing (NLP) Model

• Tanushree Shenwai

Google AI Proposes Temporal Fusion Transformer (TFT): An Attention-Based DNN (Deep Neural Network) Model For Multi-Horizon Forecasting

• Tanushree Shenwai

Researchers Develop i-Melt: A Deep Neural Network That Can Predict Glass Quality Based On Melt Composition

• Tanushree Shenwai

A New DeepMind Research Studies Language Modeling At Scale

• Tanushree Shenwai

Meta AI Develops A Conversational Parser For On-Device Voice Assistants

• Tanushree Shenwai

LinkedIn Formulates Entity Inference As An Inference Problem Using Graph Neural Networks

• Tanushree Shenwai

Google Research Release Reinforcement Learning Datasets For Sequential Decision Making

• Tanushree Shenwai

Facebook AI and University of Guelph Open-Sources Graph HyperNetworks (GHN-2): A Meta-Model That Predicts Starting Parameters For Deep-Learning Neural Networks

• Tanushree Shenwai

An MIT Research Develops A New Machine Learning Model That Understands The Underlying Relationships Between Objects In A Scene

• Tanushree Shenwai

NVIDIA Open-Source ‘FLARE’ (Federated Learning Application Runtime Environment), Providing A Common Computing Foundation For Federated Learning

• Tanushree Shenwai

Google Research Open-Sources ‘SAVi’: An Object-Centric Architecture That Extends The Slot Attention Mechanism To Videos

• Tanushree Shenwai

MetaICL: A New Few-Shot Learning Method Where A Language Model Is Meta-Trained To Learn To In-Context Learn

• Tanushree Shenwai

Google Highlights How Statistical Uncertainty Of Outcomes Must Be Considered To Evaluate Deep RL Reliably and Propose A Python Library Called ‘RLiable’

• Tanushree Shenwai

Meta/Facebook AI Releases XLS-R: A Self-Supervised Multilingual Model Trained On 128 Languages For A Variety Of Speech Tasks

• Tanushree Shenwai

A Novel Deep Learning Technique That Rebuilds Global Fields Without Using Organized Sensor Data

• Tanushree Shenwai

Google AI Proposes Multi-Modal Cycle Consistency (MMCC) Method Making Better Future Predictions by Watching Unlabeled Videos

• Tanushree Shenwai

A New Study Combines Recurrent Neural Networks (RNNs) With The Concept Of Annealing To Address Real-World Optimization Problems

• Tanushree Shenwai

Researchers Introduce MERLIN For Training Despeckling Deep Neural Network-Based Models

• Tanushree Shenwai

Pokémon Go Developer Niantic Released Lightship Platform: A Tool For Developers To Create Augmented Reality And The Real-World Metaverse

• Tanushree Shenwai

MIT AI Researchers Introduce ‘PARP’: A Method To Improve The Efficiency And Performance Of A Neural Network

• Tanushree Shenwai

Meta AI Introduces ReSkin (A Touch-Sensing “Skin” For AI Tactile Perception Research) Along With A Python Sensor Library To Interface With ReSkin Sensors

• Tanushree Shenwai

Google AI Introduces ‘GoEmotions’: An NLP Dataset for Fine-Grained Emotion Classification

• Tanushree Shenwai

Facebook/Meta Shuts Down Its Face Recognition Technology

• Tanushree Shenwai

Researchers From Seoul National University, NVIDIA and Microsoft Release ‘ACAV100M’: An Automatically Curated Video Dataset For Self-Supervised Audio-Visual Learning

• Tanushree Shenwai

Google Research Introduces ‘SCENIC’: An Open-Source JAX Library For Computer Vision Research

• Tanushree Shenwai

Yale Researchers Use Machine Learning To Identify Brain Networks Predictive Of Aggression In Children

• Tanushree Shenwai

Google AI Introduces Task Affinity Groupings (TAG): A Method That Determines Which Tasks Should Be Trained Together In Multi-Task Neural Networks

• Tanushree Shenwai

Microsoft AI Research Releases ‘ORBIT’ Dataset: A Real-World Few-Shot Dataset for Teachable Object Recognition

• Tanushree Shenwai

Hugging Face Introduces “T0”, An Encoder-Decoder Model That Consumes Textual Inputs And Produces Target Responses

• Tanushree Shenwai

Google AI Releases A New Differentially Private Clustering Algorithm

• Tanushree Shenwai

Google AI Introduces SimVLM: Simple Visual Language Model Pre-training With Weak Supervision

• Tanushree Shenwai

MIT CSAIL, TU Wien, and IST Researchers Introduce Deep Learning Models That Require Fewer Neurons

• Tanushree Shenwai

Facebook AI Introduces ‘Anticipative Video Transformer’ (AVT): An End-To-End Attention-Based Model For Action Anticipation In Videos

• Tanushree Shenwai

A New Apple AI Study Investigates Whether Self-Supervised and Supervised Methods Learn Similar Visual Representations

• Tanushree Shenwai

Microsoft and NVIDIA AI Introduces MT-NLG: The Largest and Most Powerful Monolithic Transformer Language NLP Model

• Tanushree Shenwai

Facebook AI Introduces ‘3DETR’ That Increases 3D Comprehension and ‘DepthContrast’, A self-supervised Learning Mechanism That Doesn’t Rely On Labels

• Tanushree Shenwai

Google AI Introduces ‘FLAN’: An Instruction-Tuned Generalizable Language (NLP) Model To Perform Zero-Shot Tasks

• Tanushree Shenwai

MIT Researchers Open-Sourced ‘MADDNESS’: An AI Algorithm That Speeds Up Machine Learning Using Approximate Matrix Multiplication (AMM)

• Tanushree Shenwai

DeepMind Introduces ‘Enformer’, A Deep Learning Architecture For Predicting Gene Expression From DNA Sequence

• Tanushree Shenwai

Google AI 0pen Sources ‘FedJAX’, A JAX-based Python Library for Federated Learning Simulations

• Tanushree Shenwai

Facebook AI Releases ‘CompilerGym’: A Library of High-Performance, Easy-to-Use Reinforcement Learning Environments For Compiler Optimization Tasks

• Tanushree Shenwai

DeepMind Introduces AI-Based ‘Nowcasting’ System: A State-of-the-art Model That Predicts Rain Within The Next 1-2 hours

• Tanushree Shenwai

Facebook AI Introduces ‘MiniHack’: A Sandbox Framework For Designing Rich And Diverse Environments For Reinforcement Learning (RL)

• Tanushree Shenwai

Google AI’s New Study Enhance Reinforcement Learning (RL) Agent’s Generalization In Unseen Tasks Using Contrastive Behavioral Similarity Embeddings

• Tanushree Shenwai

Baidu AI Research Releases PLATO-XL: World’s First Dialogue Generation (NLP) Model Pre-Trained On 11 Billion Parameter

• Tanushree Shenwai

Google AI Introduces Translatotron 2 For Robust Direct Speech-To-Speech Translation

• Tanushree Shenwai

Google AI Introduces Pathdreamer: A World Model For Indoor Navigation

• Tanushree Shenwai

Google AI Introduces ‘WIT’, A Wikipedia-Based Image Text Dataset For Multimodal Multilingual Machine Learning

• Tanushree Shenwai

Facebook AI Releases Captum 0.4: A More Powerful Model Interpretability Library For PyTorch

• Tanushree Shenwai

A New Google AI Study Introduces A Mask R-CNN–Based Model For Solving Instance Segmentation Problem

• Tanushree Shenwai

MIT Researchers Introduce First Silicon Chip That Can Decode Any Code Independent Of Its Structure

• Tanushree Shenwai

Researchers Introduce OncoPetNet: A Deep Learning Based AI System For Mitotic Figure Counting in a Veterinary Diagnostic Lab

• Tanushree Shenwai

Google AI Introduces Full-Attention Cross-Modal Transformer (FACT) Model And A New 3D Dance Dataset AIST++

• Tanushree Shenwai

Google AI Study Presents Personalized ASR Models From Euphonia’s Corpus (Speech Corpora)

• Tanushree Shenwai

Intel AI Team Proposes A Novel Machine Learning (ML) Technique, ‘Multiagent Evolutionary Reinforcement Learning (MERL)’ For Teaching Robots Teamwork

• Tanushree Shenwai

Researchers Introduce CapitalVX: A Machine Learning (ML) Model That May Help Investors Identify The Next Unicorn

• Tanushree Shenwai

Researchers From University of Geneva Introduce a New Machine Learning-Based Algorithm To Detect Autism In Children

• Tanushree Shenwai

A New Google AI Research Study Discovers Anomalous Data Using Self Supervised Learning

• Tanushree Shenwai

Stanford Researchers Use Deep Learning To Predict Biological Structures, Like RNAs, More Accurately Than Ever Before

• Tanushree Shenwai

AI Researchers Introduce A Graph Neural Network Estimator for ETA Prediction at Google Maps

• Tanushree Shenwai

Researchers Introduce Single-Cell Architecture Surgery (scArches), A Deep Learning Strategy For Mapping Single-Cell Data to Reference Atlases

• Tanushree Shenwai

NVIDIA’s Latest Speech Synthesis Research Makes AI Voices More Expressive And Realistic

• Tanushree Shenwai

Cerebras Announces the Release of World’s First Multi-Million Core AI Cluster Architecture

• Tanushree Shenwai

IBM Research Achieves Quantum Speed-Up in Supervised Machine Learning

• Tanushree Shenwai

Researchers From Tokyo Tech Japan Introduce A Novel Sparse CNN (Convolutional Neural Networks) Processor Architecture That Enables Model Integration On Edge Devices

• Tanushree Shenwai

Google Researchers Use Different Design Decisions To Make Transformers Solve Compositional NLP Tasks

• Tanushree Shenwai

How DoorDash Uses Machine Learning ML And Optimization Models To Solve Dispatch Problem

• Tanushree Shenwai

MIT Researchers Employ Machine Learning To Discover New Sequences To Boost Drug Delivery In Cells Using Neural Networks

• Tanushree Shenwai

Google Adds Facial Expression Recognition To The Android Accessibility Suite In The Beta Version Of Android 12

• Tanushree Shenwai

Facebook AI Introduces Fully Sharded Data Parallel (FSDP) Algorithm That Makes Training Large AI Models Easier Using GPUs

• Tanushree Shenwai

NAIST Researchers Introduce A New Machine Learning (ML) Algorithm To Localize Proteins Within the Cells

• Tanushree Shenwai

Snapchat Shows How It Uses GPUs To Accelerate Machine Learning (ML) Inferences

• Tanushree Shenwai

Google AI Introduces Tagged Corruption Models To Generate Synthetic Dataset, C4_200M Corpus, For Grammatical Error Correction (GEC)

• Tanushree Shenwai

DGIST Team Introduces, ‘DRANet’, An AI Neural Network Module That Can Separate And Convert Environmental Information In The Form Of Complex Images Using Deep Learning

• Tanushree Shenwai

Tably, An AI-Powered Camera App, Give You A Deeper Understanding Of Your Cat’s Health And Mood

• Tanushree Shenwai

Google AI Introduces Two New Datasets, ‘TimeDial’ and ‘Disfl-QA’, For Conversational NLP (Natural Language Processing)

• Tanushree Shenwai

DeepMind Introduces XLand: An Open-Ended 3D Simulated Environment Space To Train and Evaluate Artificial Agents

• Tanushree Shenwai

AI Research Team From Princeton, Berkeley and ETH Zurich Introduce ‘RLQP’ To Accelerate Quadratic Optimization With Deep Reinforcement Learning (RL)

• Tanushree Shenwai

A New Study By UCSF and Facebook Introduces Neural Interface That Restores Speech

• Tanushree Shenwai

DeepMind Researchers Introduce Epistemic Neural Networks (ENNs) For Uncertainty Modeling In Deep Learning

• Tanushree Shenwai

Google AI Introduces A Pull-Push Denoising Algorithm and Polyblur: A Deblurring Method That Eliminates Noise And Blur In Images

• Tanushree Shenwai

NVIDIA Launches TensorRT 8 That Improves AI Inference Performance Making Conversational AI Smarter and More Interactive From Cloud to Edge

• Tanushree Shenwai

IBM Researchers Propose A Quantum Kernel Algorithm That, Given Only Classical Access To Data, Provides A Provable Exponential Speedup Over Classical Machine Learning Algorithms

• Tanushree Shenwai

Researchers From Berkeley Lab Introduce Self-Supervised Representation Learning For Astronomical Images

• Tanushree Shenwai

Cornell and Harvard University Researchers Develops Correlation Convolutional Neural Networks (CCNN): To Determine Which Correlations Are Most Important

• Tanushree Shenwai

EventDrop, A Method To Augment Asynchronous Event Data And Limit The Adverse Effects Of Overfitting

• Tanushree Shenwai

A Novel Caltech Algorithm Allows Autonomous Systems Navigate Themselves By Referring The Surrounding Terrain, Summer or Winter

• Tanushree Shenwai

NVIDIA Partners with Google Cloud To Establish AI-on-5G Innovation Lab, Speeding AI Deployment

• Tanushree Shenwai

Facebook AI’s New Compositional Framework Can Generalize Attribute-Object Pairs To Unseen Combinations

• Tanushree Shenwai

EBRAINS Researchers Introduce A Robot Whose Internal Workings Mimic Human Brain

• Tanushree Shenwai

AI Researchers Including Yoshua Bengio, Introduce A Consciousness-Inspired Planning Agent for Model-Based Reinforcement Learning

• Tanushree Shenwai

Researchers From Technische Universität Berlin and the University Clinic of Freiburg Propose a New Modular System for Evaluating Robots and Humans Posture Control and Balance

• Tanushree Shenwai

NVIDIA Releases Jetson AGX Xavier Industrial Module, Engineered to Bring AI to Harsh, Safety-Critical Environments

• Tanushree Shenwai

Google AI Introduces ByT5: Pre-Trained Byte-to-Byte Models for NLP Tasks

• Tanushree Shenwai

Cornell University and NTT Research Introduce Physical Neural Networks (PNNs): A Universal Framework that Leverages a Backpropagation Algorithm for Arbitrary Physical Systems

• Tanushree Shenwai

NVIDIA Base Command Platform Allows Enterprises To Move Their AI Projects From Prototypes to Production Promptly

• Tanushree Shenwai

Google’s Multitask Unified Model (MUM) Transforms How Google AI Understands Complex Queries

• Tanushree Shenwai

Adobe Researchers Propose Directional GAN (DGAN): A Novel Conditioning Strategy for Generative Networks

• Tanushree Shenwai

MIT and IBM Researchers Propose an AI Method for Finding and Fixing Weaknesses In Automated Programming Tools

• Tanushree Shenwai

A New Google Research Introduces FNet By Replacing Self-Attention Sublayers With Simple Linear Transformations Achieving 92% Accuracy and Runs Up To Seven Times Faster On GPUs And Twice As Fast On TPUs

• Tanushree Shenwai

Researchers from ETH Zurich Propose a Novel Robotic Systems Capable of Self-Improving Semantic Perception

• Tanushree Shenwai

Using TensorFlow To Reconstruct Thousands of Particles in One Attempt at The CERN LHC (Large Hadron Collider)

• Tanushree Shenwai

Researchers at JAIST, the Japan Advanced Institute of Science and Technology, Have Proposed a Model that Allows Voices to Mimic and Control the Generated Speech’s Speaker Identity

• Tanushree Shenwai

Apple Researchers Invent A New Blood Pressure System Using Neural Networks that accepts a Seismocardiogram (SMG) As Input

• Tanushree Shenwai

Researchers From Allen Institute for AI Releases AI2-THOR 3.0, An Embodied AI Framework for Visual Object Manipulation In Robotics Testing Scenario

• Tanushree Shenwai

Time-Travel Rephotography: An AI-Based Technique Using StyleGAN2 Framework To Color And Restyle Old Photographs

• Tanushree Shenwai

Researchers Introduce a Convolutional Neural Network (CNN)-Based Model that Automates the Distinction Between Natural Images and Computer-Generated Images (CGI)

• Tanushree Shenwai

Researchers at Google AI, NVIDIA, Technical University of Munich (TUM), and Ludwig-Maximilians-University Introduce CodeTrans: An Encoder-Decoder Transformer Model for the Software Engineering Tasks Domain

• Tanushree Shenwai

Researchers At The University of Tokyo Present A Frequency-Based Inpainting Method To Generate Missing Image Portions

• Tanushree Shenwai

Researchers From MIT-IBM Watson AI Lab, the University of Michigan, and ShanghaiTech University Study Ways to Detect Biases and Increase Machine Learning (ML) model’s Individual Fairness

• Tanushree Shenwai

Facebook AI Introduces A New Self-Supervised Learning Framework For Model Selection And Hyperparameter Tuning For Large-Scale Forecasting

• Tanushree Shenwai

Researchers at Google AI Introduce an Efficient Neural Volumetric Representation that Enables Real-Time View Synthesis

• Tanushree Shenwai

Researchers From Tsinghua University, The National University of Singapore Have Recently Developed An AI Tool Called ‘MolMapNet’ That Predicts Drugs Pharmaceutical Properties

• Tanushree Shenwai

Researchers at MIT and Amazon Study Pervasive Label Errors in Test Sets that Destabilize Machine Learning Benchmarks

• Tanushree Shenwai

Researchers From Osaka University Use Deep Learning To Improve Mobile Mixed Reality Generation

• Tanushree Shenwai

DeepMind Researchers Introduce Manipulation-Independent Representations (MIR) For Successful Cross Embodiment Visual Imitation

• Tanushree Shenwai

Google AI Introduces LEAF: A Learnable Frontend for Audio Classification

• Tanushree Shenwai

Facebook AI Presents Contrastive Semi-Supervised Learning (CSL): An AI Approach For Automatic Speech Recognition (ASR) Models

• Tanushree Shenwai

Researchers from Google Research and UC Berkeley Introduce BoTNet: A Simple Backbone Architecture that Implements Self-Attention Computer Vision Tasks

• Tanushree Shenwai

Researchers at the University of Michigan and Netease Fuxi AI Lab Introduce ‘MeInGame’: A Deep Learning Technique To Automatically Create a Game Character Face from a Single Portrait

• Tanushree Shenwai

Google and Facebook Introduce ‘LazyTensor’ That Enables Expressive Domain-Specific Compilers

• Tanushree Shenwai

A New Study by NVIDIA, University of Toronto, McGill, and Vector Institute Proposes Neural Representation that Enables the Real-Time Rendering of Neural SDFs

• Tanushree Shenwai

Google AI Introduces Lyra: A Novel Low-Bitrate Speech Codec For Speech Compression

• Tanushree Shenwai

Researchers From UC Berkeley, University of Maryland, and UC Irvine Introduce A new Contextual Calibration Approach That Significantly Improves GPT-3 Accuracy Up to 30%

• Tanushree Shenwai

Facebook AI And Sorbonne University Propose A New Benchmark, CTrL, To Evaluate How Efficiently Continual Learning (CL) Models Transfer Knowledge Between Tasks And Scale To Multiple Tasks

• Tanushree Shenwai

Google AI, DeepMind And The University of Toronto Introduce DreamerV2, The First Reinforcement Learning (RL) Agent That Outperforms Humans on The Atari Benchmark

• Tanushree Shenwai

DeepMind Researchers Propose Normalizer-Free ResNets (NFNets) To Achieve Large-Scale Image-Recognition Without Batch Normalization

• Tanushree Shenwai

Stanford Researchers Propose Deep Evolutionary Reinforcement Learning (DERL) Framework that Demonstrates Embodied Intelligence via Learning and Evolution

• Tanushree Shenwai

Allen Institute For AI (AI2) Launches The 2.7.0 Version of AI2-THOR That Enables Users To Reduce Their Training Time Dramatically

• Tanushree Shenwai

PyTorch Lightning Team Introduces Flash Lightning That Allows Users To Infer, Fine-Tune, And Train Models On Their Data

• Tanushree Shenwai

Google AI launches Crowdsourcing Adverse Test Sets for Machine Learning (CATS4ML) Data Challenge

• Tanushree Shenwai

Researchers from the University of Sheffield & Beihang University Introduce a New Approach Based on Transfer Learning to Automate Historical Text Summarization

• Tanushree Shenwai

Researchers from InnoPeak Technology Propose GCF-Net: Gated Clip Fusion Network for Video Action Recognition

• Tanushree Shenwai

Researchers From Google Brain Introduces Symbolic Programming And A Python Library Called PyGlove For Automated machine learning

• Tanushree Shenwai

Researchers At NAVER AI Lab Introduces ReLabel: A Novel Framework To Turn ImageNet Evaluation Into A Multi-Label Task

• Tanushree Shenwai

Facebook AI Introduces N-Bref: A Neural-Based Decompiler Framework

• Tanushree Shenwai

Google Researchers Introduce a New Framework (TReCS) For Text-to-Image Generation

• Tanushree Shenwai

Researchers From Computer Vision Center (CVC) And The University Of Barcelona Conducted A Study That Results In Improved Accuracy On Face Verification Tasks In The Presence Of Other Confounding Attributes

• Tanushree Shenwai

Researchers Use Unsupervised Machine Learning To Understand And Visualize The Evolution In Classical Music

• Tanushree Shenwai

A Nepalese Machine Learning (ML) Researcher Introduces ‘Papers-With-Video’ Browser Extension Which Allows Users To Access Videos Related To Research Papers On ArXiv

• Tanushree Shenwai

Researchers From Facebook AI And The University Of Texas At Austin Introduce VisualVoice: A New Audio-Visual Speech Separation Approach

• Tanushree Shenwai

Oxford Nanopore Collaborates With NVIDIA To Integrate DGX Station A100 With An Ultra-High-Throughput Sequencing System, PromethION

• Tanushree Shenwai

Machine Learning Metadata (MLMD) : A Library To Track Full Lineage Of Machine Learning Workflow

• Tanushree Shenwai

Introducing ‘Chitrakar’ A New AI System That Converts Images Of A Human Face Into The Jordan Curve

• Tanushree Shenwai

OpenAI Introduces DALL·E: A Neural Network That Creates Images From Text Descriptions

• Tanushree Shenwai

Researchers Introduce A Deep Learning Framework For Drug Repurposing

• Tanushree Shenwai

Researchers Examine Three Intrinsic Motivation Types To Stimulate Intrinsic Objectives Of Reinforcement Learning (RL) Agents

• Tanushree Shenwai

An Indian Startup Is Using AI To Map India’s Potholes Using Phone Sensors

• Tanushree Shenwai

A New Method To Code Inductive Image Biases Into Models Using CNN And Transformers

• Tanushree Shenwai

DeepMind Introduces MuZero That Achieves Superhuman Performance In Tasks Without Learning Their Underlying Dynamics

• Tanushree Shenwai

DeepMind Has Reconciled Existing Neural Network Limitations To Outperform Neuro-Symbolic Models

• Tanushree Shenwai

Sony AI Launches An AI-Powered Gastronomy Flagship Project

• Tanushree Shenwai

Create A Festive Song With A Little Help From Machine Learning Using ‘Blob Opera’ Just Released By Google

• Tanushree Shenwai

Inductive Biases May Bridge The Gap Between Current Deep Learning And Human Cognitive Abilities

• Tanushree Shenwai

Multi-Expert Learning Architecture (MELA), A Method To Combine Deep Neural Networks

• Tanushree Shenwai

Nvidia’s New Technique — Called Adaptive Discriminator Augmentation (ADA) — Allows Researchers To Train AI Models Using Limited Datasets

• Tanushree Shenwai

How DeepMind Is Using JAX To Accelerate AI Research

• Tanushree Shenwai

Tracking 3-D Motion using Deep Learning and a Structure-Aware Temporal Bilateral Filter

• Tanushree Shenwai

Facebook AI Introduces ‘ReBeL’: An Algorithm That Generalizes The Paradigm Of Self-Play Reinforcement Learning And Search To Imperfect-Information Games

• Tanushree Shenwai

Nvidia Proposes A Neural Talking-Head Video Synthesis AI Model, Making Video Conferencing 10x More Bandwidth Efficient

• Tanushree Shenwai

AlphaFold: DeepMind’s AI System With Major Breakthrough To Predict Protein-Folding

• Tanushree Shenwai

Presenting adversarial.js Tool: An Interactive, In-Browser Demonstration Of Adversarial Attacks On Neural Networks

• Tanushree Shenwai

Facebook AI Explores Automatic Differentiation System For The Kotlin Language

• Tanushree Shenwai

UC Berkeley Researchers Use AI For Digital Voicing Of Silent Speech

• Tanushree Shenwai

Allen Institute for AI Introduces TL;DR: An AI Tool That Summarizes Research Papers In One Sentence

• Tanushree Shenwai

Google’s Latest AI Tool, Chimera Painter, Uses Machine Learning To Create Fantastical Creatures

• Tanushree Shenwai

Leveraging ML Compute Framework For Accelerated TensorFlow Performance On Mac

• Tanushree Shenwai

PyTorch Releases Prototype Features To Execute Machine Learning Models On-Device Hardware Engines

• Tanushree Shenwai

DeepMind Open-Sources Lab2D, A System For The Creation Of 2D Environments For Machine Learning

• Tanushree Shenwai

HAMLET: A Hierarchical Agent-Based Machine Learning Platform For AI Research And Development

• Tanushree Shenwai

Nvidia Researchers Introduces A Modular Primitive To Provide High-Performance Primitive Operations For Rasterization-Based Differentiable Rendering

• Tanushree Shenwai

LinkedIn Releases Dagli, An Open Source Machine Learning Library For Java

• Tanushree Shenwai

Proposed Machine Learning Model To Predict The Power-Conversion Efficiency (PCE) Of Materials That Can Be Used In Next-Generation Organic Solar Cells

• Tanushree Shenwai

CompressAI: A PyTorch Library For End-To-End Compression Research

• Tanushree Shenwai

Carnegie Mellon University’s CyLab Develops World’s Fastest Open-Source Intrusion Detection System

• Tanushree Shenwai

Cato Networks Introduces A New AI System To Eliminate False Positives In Security Systems

• Tanushree Shenwai

Introducing BVR ‘Bridging Visual Representations’: A Novel Module And Applied Plug-In Designed To Better Integrate Different Computer Vision (CV) Object Representations

• Tanushree Shenwai

Facebook AI Proposes New Method To Improve Cross-Lingual Transfer Learning for End-to-End Speech Recognition with Speech Translation

• Tanushree Shenwai

Intel To Acquire SigOpt, An AI Hyperparameter Optimization Platform

• Tanushree Shenwai

Google AI Open-Sources mT5: A Multilingual Model Trained With mC4 Corpus (101 Language Dataset)

• Tanushree Shenwai

Microsoft Introduces Lobe: A Free Machine Learning Application That Allows You To Create AI Models Without Coding

• Tanushree Shenwai

LiteDepthwiseNet: A Lightweight Neural Network for Hyperspectral Image Classification

• Tanushree Shenwai

Adversarial Machine Learning Threat Matrix – A Framework To Defend AI Systems From Adversarial Attacks

• Tanushree Shenwai

CLEANN : A Framework That Protects Artificial Neural Networks From Trojan Attacks

• Tanushree Shenwai

DeepMind Open-Sources The FermiNet: A Deep Learning Model For Computing The Energy Of Atoms

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[A Coding Implementation on MONAI for End-to-End 3D Spleen Segmentation Using UNet on Medical CT Volumes](/content/2026/06/12/a-coding-implementation-on-monai-for-end-to-end-3d-spleen-segmentation-using-unet-on-medical-ct-volumes/ "A Coding Implementation on MONAI for End-to-End 3D Spleen Segmentation Using UNet on Medical CT Volumes"/index.html)

[Perplexity Moves Deep Research Into Computer, Routing Research Subtasks Across 20+ Frontier Models For Reports, Decks, And Dashboards](/content/2026/06/11/perplexity-moves-deep-research-into-computer-routing-research-subtasks-across-20-frontier-models-for-reports-decks-and-dashboards/ "Perplexity Moves Deep Research Into Computer, Routing Research Subtasks Across 20+ Frontier Models For Reports, Decks, And Dashboards"/index.html)

[xAI Ships Grok Build Plugin Marketplace With MongoDB, Vercel, Sentry, Chrome DevTools, Cloudflare, and Superpowers Plugins at Launch](/content/2026/06/11/xai-ships-grok-build-plugin-marketplace-with-mongodb-vercel-sentry-chrome-devtools-cloudflare-and-superpowers-plugins-at-launch/ "xAI Ships Grok Build Plugin Marketplace With MongoDB, Vercel, Sentry, Chrome DevTools, Cloudflare, and Superpowers Plugins at Launch"/index.html)

[Nous Research Ships Hermes Agent Profile Builder: Identity, Model, Skills, and MCP Servers in One Dashboard Flow](/content/2026/06/11/nous-research-ships-hermes-agent-profile-builder-identity-model-skills-and-mcp-servers-in-one-dashboard-flow/ "Nous Research Ships Hermes Agent Profile Builder: Identity, Model, Skills, and MCP Servers in One Dashboard Flow"/index.html)

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[Moonshot AI Launches Kimi Work, a Local Desktop Agent Reportedly Running on Kimi K2.6...](/content/2026/06/12/moonshot-ai-launches-kimi-work-a-local-desktop-agent-reportedly-running-on-kimi-k2-6-with-a-300-sub-agent-agent-swarm/ "Moonshot AI Launches Kimi Work, a Local Desktop Agent Reportedly Running on Kimi K2.6 With a 300-Sub-Agent Agent Swarm"/index.html)

Asif Razzaq-June 12, 20260

Moonshot AI's Kimi Work is a local desktop agent for macOS and Windows. It runs a 300-sub-agent swarm, drives your logged-in browser via WebBridge, and schedules background jobs.

[Zyphra Release Zamba2-VL: Hybrid Mamba2–Transformer Vision-Language Models That Cut Time-to-First-Token by About an Order...](/content/2026/06/12/zyphra-release-zamba2-vl-hybrid-mamba2-transformer-vision-language-models-that-cut-time-to-first-token-by-about-an-order-of-magnitude/ "Zyphra Release Zamba2-VL: Hybrid Mamba2–Transformer Vision-Language Models That Cut Time-to-First-Token by About an Order of Magnitude"/index.html)

Asif Razzaq-June 12, 20260

Zyphra has released Zamba2-VL, a family of open vision-language models at 1.2B, 2.7B, and 7B parameters. The models use a hybrid Mamba2 state-space and Transformer backbone, shipping under Apache 2.0. They stay competitive with comparable Transformer VLMs while cutting time-to-first-token by about an order of magnitude.

[A Coding Implementation on MONAI for End-to-End 3D Spleen Segmentation Using UNet on Medical...](/content/2026/06/12/a-coding-implementation-on-monai-for-end-to-end-3d-spleen-segmentation-using-unet-on-medical-ct-volumes/ "A Coding Implementation on MONAI for End-to-End 3D Spleen Segmentation Using UNet on Medical CT Volumes"/index.html)

Sana Hassan-June 12, 20260

In this tutorial, we build an end-to-end 3D medical image segmentation pipeline using MONAI to segment the spleen on the Medical Segmentation Decathlon Task09...

[Perplexity Moves Deep Research Into Computer, Routing Research Subtasks Across 20+ Frontier Models For...](/content/2026/06/11/perplexity-moves-deep-research-into-computer-routing-research-subtasks-across-20-frontier-models-for-reports-decks-and-dashboards/ "Perplexity Moves Deep Research Into Computer, Routing Research Subtasks Across 20+ Frontier Models For Reports, Decks, And Dashboards"/index.html)

Michal Sutter-June 11, 20260

Deep Research now lives inside Perplexity Computer, breaking hard questions into subtasks and routing across 20+ frontier models.

[xAI Ships Grok Build Plugin Marketplace With MongoDB, Vercel, Sentry, Chrome DevTools, Cloudflare, and...](/content/2026/06/11/xai-ships-grok-build-plugin-marketplace-with-mongodb-vercel-sentry-chrome-devtools-cloudflare-and-superpowers-plugins-at-launch/ "xAI Ships Grok Build Plugin Marketplace With MongoDB, Vercel, Sentry, Chrome DevTools, Cloudflare, and Superpowers Plugins at Launch"/index.html)

Michal Sutter-June 11, 20260

Grok Build's in-terminal marketplace bundles skills, agents, hooks, and MCP servers, with commit-SHA verification on every remote plugin.

[Nous Research Ships Hermes Agent Profile Builder: Identity, Model, Skills, and MCP Servers in...](/content/2026/06/11/nous-research-ships-hermes-agent-profile-builder-identity-model-skills-and-mcp-servers-in-one-dashboard-flow/ "Nous Research Ships Hermes Agent Profile Builder: Identity, Model, Skills, and MCP Servers in One Dashboard Flow"/index.html)

Michal Sutter-June 11, 20260

The Hermes Agent dashboard now builds complete agent profiles in one flow, replacing multi-step CLI setup for users.

[Meet ‘North Mini Code’: Cohere’s 30B Open-Weight Mixture-of-Experts Model With 3B Active Parameters for...](/content/2026/06/11/meet-north-mini-code-coheres-30b-open-weight-mixture-of-experts-model-with-3b-active-parameters-for-agentic-coding/ "Meet ‘North Mini Code’: Cohere’s 30B Open-Weight Mixture-of-Experts Model With 3B Active Parameters for Agentic Coding"/index.html)

Asif Razzaq-June 11, 20260

Cohere's first developer coding model is a 30B mixture-of-experts running on a single H100 with 256K context length.

[A Coding Implementation on Microsoft SkillOpt for Instrumented Prompt Optimization, Skill Evolution Analysis, and...](/content/2026/06/10/a-coding-implementation-on-microsoft-skillopt-for-instrumented-prompt-optimization-skill-evolution-analysis-and-baseline-comparison/ "A Coding Implementation on Microsoft SkillOpt for Instrumented Prompt Optimization, Skill Evolution Analysis, and Baseline Comparison"/index.html)

Sana Hassan-June 10, 20260

We implement an instrumented workflow for Microsoft SkillOpt end to end. We set up the repository, connect OpenAI-compatible model access, and configure the optimizer and target models. We evaluate the original seed skill as a baseline, then run a real optimization loop with rollout, reflection, aggregation, selection, updating, and validation-based gating. We inspect training history, visualize accuracy, edit-budget behavior, and token usage, then compare the evolved skill against the baseline.

[Google AI Releases DiffusionGemma, a 26B MoE Open Model Using Text Diffusion for Up...](/content/2026/06/10/google-ai-releases-diffusiongemma-a-26b-moe-open-model-using-text-diffusion-for-up-to-4x-faster-generation/ "Google AI Releases DiffusionGemma, a 26B MoE Open Model Using Text Diffusion for Up to 4x Faster Generation"/index.html)

Asif Razzaq-June 10, 20260

DiffusionGemma is Google DeepMind's experimental 26B open model using text diffusion for up to 4x faster generation on GPUs.

[Top AI Coding Agents and Development Platforms in 2026: Atoms, Devin, Windsurf, Cursor, Warp,...](/content/2026/06/10/ai-coding-agents-development-platforms-2026/ "Top AI Coding Agents and Development Platforms in 2026: Atoms, Devin, Windsurf, Cursor, Warp, and More Compared"/index.html)

Michal Sutter-June 10, 20260

Software development has changed. Engineers no longer type most code by hand. They describe intent, and AI agents do the work. Modern tools plan...

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