Model Proposed By Columbia University Can Learn Predictability From Unlabelled Video

We, humans, are always making predictions about our environment. These predictions are made based on various factors, and as we all know,...

Kosinski’s Latest Paper Claims ‘Facial Recognition Technology Can Expose Political Orientation From Naturalistic Facial...

Michal Kosinski, a Stanford-affiliated researcher, claims to build an algorithm to expose people's political views from social media profiles and facial expressions....

Researchers From Facebook AI And The University Of Texas At Austin Introduce VisualVoice: A...

Despite being present in surroundings with contaminated and overlapping sounds, the human perceptual system moves massively on visual information to lessen the...

Researchers From Duke University Introduce The Concept Of A Variable Importance Cloud For Different...

Researchers at Duke University recently formulated an approach to check the importance of variables for various, almost-optimal predictive models. The researchers, Jiayun...

Researchers From Uber And CMU Develop An AI Language Model That Focuses On Polite...

AI-driven assistants are gaining significant traction in the modern world. AI assistants, like Alexa and Siri, need to exhibit apt social behavior to...

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...

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...

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...
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