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

At present, machine learning (ML) models find applications in various fields, and many ML systems have achieved remarkable accuracy in a variety...

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...

Georgia Tech and Facebook AI Researchers Devise a New Tensor Train Approach to Reduce...

A recent study conducted jointly by the Georgia Institute and Facebook AI researchers has opened the door to a new method called...

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

Researchers from Stanford University have recently introduced a new computational framework called Deep Evolutionary Reinforcement Learning (DERL). It allows AI agents to...

UC Berkeley Researchers Use AI For Digital Voicing Of Silent Speech

Researchers at UC Berkeley have developed an AI model that detects ‘silent speech.’ The model is based on digital voicing to predict...

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

Machine learning (ML) algorithms are widely used as computational tools for solving various real-world problems, including image, audio, and text classification tasks....

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’...

Stanford Researchers Introduces ArtEmis, A Dataset Containing 439K Emotion Attributions

ArtEmis, described as the Affective Language for Visual Art, is a novel large-scale dataset and its accompanying ML models to provide a...

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

The Researchers at Allen Institute for Artificial Intelligence (AI2) have developed a new AI model that summarizes text from scientific papers. It...

Researchers From Tsinghua University Introduces AutoGL: An AutoML Framework For Machine Learning On Graph

The primary aim of AutoML or Automated machine learning is to reduce the skilled human effort required for building machine learning and...
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