Stanford Seminar - Computing with Physical Systems
Techniques for Training Large Neural Networks
Photonic Chip Performs Image Recognition at the Speed of Light
Image-Generating AI Keeps Doing Weird Stuff We Don't Understand
This New Ultra-Fast Chip Computes with Light
Energy-efficient AI hardware technology via a brain-inspired stashing system
'Nanomagnetic' computing can provide low-energy AI, researchers show
Robust Graph Neural Networks
Can machine-learning models overcome biased datasets?
Hiddenite: A New AI Processor Based on a Cutting-Edge Neural Network Theory
MIT Researcher Says Yes, Advanced Neural Networks May Be Achieving Consciousness
Computer Scientists Prove Why Bigger Neural Networks Do Better | Quanta Magazine
Researchers Build AI That Builds AI | Quanta Magazine
Neural networks can hide malware, and scientists are worried
Clever Compression of Some Neural Nets Improves Performance
Google releases TF-GNN for creating graph neural networks in TensorFlow
The neural architecture of language: Integrative modeling converges on predictive processing
AI Generates Hypotheses Human Scientists Have Not Thought Of
Researchers develop recursively embedded atom neural network model
Liquid Neural Networks
DeepMind is developing one algorithm to rule them all
DeepMind Introduces 'Enformer', A Deep Learning Architecture For Predicting Gene Expression From DNA Sequence
The big question
7 Revealing Ways AIs Fail
#60 Geometric Deep Learning Blueprint (Special Edition)
Google AI Introduces Two New Families of Neural Networks Called 'EfficientNetV2' and 'CoAtNet' For Image Recognition
Cutting 'edge': A tunable neural network framework towards compact and efficient models
Cerebras' Tech Trains 'Brain-Scale" AIs
Microsoft AI Researchers Introduce A Neural Network With 135 Billion Parameters And Deployed It On Bing To Improve Search Results
Can A.I. Grade Your Next Test?