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Meta AI Introduces A New AI Technology Called ‘Few-Shot Learner (FSL)’ To Tackle Harmful Content

AI Paper Summary
For the training of AI models, a massive number of labeled data points or examples are required. Typically, the number of samples needed is...

Microsoft Researchers Introduce ‘FS-MOL’, A Few-Shot Learning Molecular Dataset, To Bring Deep Learning in Early-Stage Drug Discovery

AI Paper Summary
The discovery, design, and testing phases of the drug development process are iterative. Drugs were previously sourced from plants and found through trial-and-error methods....

MLCommons Releases Both A Multilingual Speech Dataset And A Large 30,000 Hour Diverse English Dataset To Drive Democratization of Machine Learning

AI Paper Summary
The MLCommons Association, an open engineering community, dedicated to making machine learning more accessible to everyone, has released free datasets and technologies to help...

Microsoft Research Introduces ‘BugLab’: A Deep Learning Model to Detect and Fix Bugs Without Using Labelled Data

AI Paper Summary
Finding and repairing problems in code is a time-consuming and frequently unpleasant element of software engineers' day-to-day work. Can deep learning solve this challenge...

Understanding AlphaZero Neural Network’s SuperHuman Chess Ability

AI Paper Summary
As a common and (sometimes) proven belief, deep learning systems seem to learn uninterpretable representations and are far from human understanding. Recently, some studies...

Researchers from MIT, Yonsei University, and University of Brasilia Introduce ‘Computer Progress’: A New Portal to Analyze the Computational Burden From Over 1,000 Deep...

AI Paper Summary
Deep Learning is now being used to predict how proteins fold, translate between languages, Analyze medical scans, and play complex games like Go, to...

‘HiClass’: A Python Package that Provides Implementations of Popular Machine Learning Models and Evaluation Metrics for Local Hierarchical Classification

AI Paper Summary
Classification is the process of grouping items into categories. Classification problems can be naturally modeled hierarchically, typically in the tree or directed acyclic graph...

Google AI Introduces ‘GSPMD’: A Largely Automated Parallelization System For Machine Learning Computation Graphs

AI Paper Summary
In many machine learning (ML) applications of the real world, such as language understanding, computer vision, and neural machine translation, scaling neural networks, whether...

Google AI’s ‘TokenLearner’ Can Improve Vision Transformer Efficiency And Accuracy

AI Paper Summary
Transformer models consistently obtain state-of-the-art computer vision tasks, including object detection and video classification. In standard convolutional approaches, images are processed pixel-by-pixel. To obtain...

Researchers Propose ‘ProxyFL’: A Novel Decentralized Federated Learning Scheme For Multi-Institutional Collaborations Without Sacrificing Data Privacy

AI Paper Summary
Tight rules generally govern data sharing in highly regulated industries like finance and healthcare. Federated learning is a distributed learning system that allows multi-institutional...

AI Researchers Propose ‘GANgealing’: A GAN-Supervised Algorithm That Learns Transformations of Input Images to Bring Them into Better Joint Alignment

Adobe
The correspondence problem of visual alignment is one that computer vision algorithms must solve for many different applications.It's considered a critical element in Optical...

IBM Research Introduces ‘CodeNet’: A Large-Scale Dataset Aimed at Teaching AI to Code For Machine Learning Models

AI Paper Summary
If you have checked your bank account, used a credit card, gone to the doctor, booked a ticket, paid your taxes, or bought anything...
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