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

Researchers at Facebook and Google introduce a new technique called ‘LazyTensor’ that combines eager execution and domain-specific compilers (DSCs) to employ both...

A New Study by NVIDIA, University of Toronto, McGill, and Vector Institute Proposes Neural...

Researchers from NVIDIA, the University of Toronto, McGill University, and the Vector Institute led a study that proposed an efficient neural representation...

Exploring Self-Supervised Policy Adaptation To Continue Training After Deployment Without Using Any Rewards

Humans possess a remarkable ability to adapt, generalize their knowledge and use their experiences in new situations. Simultaneously, building an intelligent system...

Researchers From Stanford, UCI and UC Santa Barbara Conducted a Study to Understand How...

Over the past few decades, Deep neural network-based models have been developed to complete a broad range of tasks. Some of them...

Google AI Introduces ‘Model Search’: An Open Source Platform For Finding Optimal Machine learning...

Google AI has announced the release of Model Search, a platform that will help researchers develop machine learning (ML) models automatically and efficiently....

MyHeritage’s New Feature, ‘Deep Nostalgia’, is Recreating and Bringing Back Old Images to Life...

Reliving the past might not be possible, but bringing the past to life has been converted to reality by the Deep Nostalgia...

This Surgical Intelligence Platform Combines Artificial Intelligence And Computer Vision To Better The Surgeon’s...

Theator, a surgical intelligence platform based in San Mateo, California, combines artificial intelligence and computer vision to better the surgeon's performance. Recently,...

University of Wisconsin-Madison, UC Berkeley, and Google Brain Introduce Nystromformer: A Nystrom-based Algorithm for...

Early days of research in Natural language processing established long-term dependencies. It also brought the vanishing gradient problem in front of us...

Introduction to GANs (Generative Adversarial Networks)

Generative Adversarial Networks, or GANs, belong to generative models, which create new data instances that resemble the training data. GANs are algorithmic...

Researchers From UC Berkeley, University of Maryland, and UC Irvine Introduce A new Contextual...

A team of researchers at UC Berkeley, University of Maryland, and UC Irvine conducted a study to identify that can cause instability...
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