Stanford University

Stanford Researchers Use Deep Learning To Predict Biological Structures, Like RNAs,...

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Determination of 3D structures of biological molecules, like RNA's, is difficult and often requires millions of dollars for such extensive efforts. Stanford University researchers...

Stanford AI Researchers Propose A New Instant Search Method Using Neural...

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Web search is expected to evolve dramatically over the next decade, as it combines recent breakthroughs in artificial intelligence, particularly those relating to massive...

Stanford AIMI Releases Its Free Open-Source Repository Of Medical Datasets For...

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Stanford is looking to democratize research on artificial intelligence and medicine by releasing the world's largest free repository of AI-ready annotated medical imaging datasets....

AI Turns Brain Powered Handwriting Into On-Screen Words

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Artificial intelligence makes it possible for people who have hindered limb movement or are paralyzed to communicate by text using data interpretation from devices...

Stanford’s AI Researchers Introduce QA-GNN Model That Jointly Reasons With Language...

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Question-answering systems are the backbone of our digital lives. From search engines to personal assistants, we use them every day and never even realize...

Stanford AI Lab Introduces AGQA: A New Benchmark For Compositional, Spatio-Temporal...

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Designing machines capable of exhibiting a compositional understanding of visual events has been an important goal of the computer vision community. Stanford AI has...

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

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

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

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

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

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

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

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