A new machine learning method has achieved what even AlphaFold cannot — the design of intrinsically disordered proteins (IDPs), the shape-shifting biomolecules that make up nearly 30% of all human ...

Abstract: Activation functions are pivotal in neural networks, determining the output of each neuron. Traditionally, functions like sigmoid and ReLU have been static and deterministic. However, the ...

Deep neural networks (DNNs), the machine learning algorithms underpinning the functioning of large language models (LLMs) and other artificial intelligence (AI) models, learn to make accurate ...

A new international study has introduced Curved Neural Networks—a new type of AI memory architecture inspired by ideas from geometry. The study shows that bending the "space" in which AI "thinks" can ...

This is my journey to implement NNs from first principles, one neuron at a time. In this notebook we build a neural network with 2 neurons in layer 1, and 1 neuron in layer 2. We then visualize how it ...

The brain criticality hypothesis has been a central research topic in theoretical neuroscience for two decades. This hypothesis suggests that the brain operates near the critical point at the boundary ...

Code Repository for the paper: "Structure Is Not Enough: Leveraging Behavior for Neural Network Weight Reconstruction" at the ICLR 2025 Workshop on Neural Network Weights as a New Data Modality (WSL ...

Electrochemical energy storage and conversion play increasingly important roles in electrification and sustainable development across the globe. A key challenge therein is to understand, control, and ...

‘Ridiculous prices’ blamed for slump in Las Vegas visitor numbers The Salt Path scandal has killed the middle-class fantasy of escapism Man rescues Texas family from floodwaters: ‘It was pure panic’ ...

Nvidia has partnered with hardware infrastructure vendor Vertiv to provide liquid cooling designs for future data centers designed to be AI factories. AI factories are specified data centers ...