Caltech Open-Sources FNO: A Deep Learning Method For Solving PDEs (Partial differential equations)

Caltech's Dolcit group recently open-sourced FNO, Fourier Neural Operator, a deep-learning method for Solving the PDEs (Partial differential equations). FNO being three times faster than...

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

OpenAI has recently trained a neural network called DALL·E that creates images from text descriptions for various concepts expressible in natural language. 

Researchers Introduce A Deep Learning Framework For Drug Repurposing

What is Drug repurposing? Drug repurposing involves investigating existing drugs for new therapeutic purposes. It is a useful approach...

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

Reinforcement learning (RL) has enabled tools to make decisions and solve complex problems in unknown environments directly from high-dimensional image inputs, such...

Facebook AI Introduces DeiT (Data-efficient image Transformers): A New Technique To Train Computer Vision...

Facebook AI has developed a new technique called Data-efficient image Transformers (DeiT) to train computer vision models that leverage Transformers to unlock dramatic advances...

Stanford University Researchers Introduces LUCIDGames, A Computational Technique That Can Predict And Plan Adaptive...

Researchers at Stanford University recently introduced LUCIDGames, a computational technique to predict and plan adaptive trajectories for autonomous vehicles. This technique integrates an algorithm...

Understanding The Memorization Of Data Including Personal Identifiable Information in GPT-2 Model

The Berkeley Artificial Intelligence Research (BAIR) evaluated how large language models memorize and regurgitate their training data's rare snippets in a recent paper. The focus was on GPT-2 and found...

This College Communication Platform, ‘InSpace’, Uses TensorFlow.js For Toxicity Filters In Chat

InSpace is a virtual communication and learning platform. It helps people interact, collaborate, and educate in familiar physical ways, but in a virtual...

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

Researchers at Heidelberg University have recently proposed a novel method to efficiently code inductive image biases into models while retaining all transformers’...

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

Previously, DeepMind has used reinforcement learning to teach programs to master various games such as the Chinese board game 'Go,' the Japanese...
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