This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Rock-paper-scissors is usually a game of psychology, reverse psychology, reverse-reverse psychology, and chance. But what if a computer could understand you well enough to win every time? A team at ...

Modern neural networks, with billions of parameters, are so overparameterized that they can "overfit" even random, structureless data. Yet when trained on datasets with structure, they learn the ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

Broadcast TV continues to draw big audiences. And they are increasingly getting special events, award shows and sports — lots of sports. By John Koblin MTV’s “Video Music Awards” had been a cable-only ...

If I ever encounter device issues in Windows, say to my keyboard, printer, Bluetooth, USB, or audio playback I use the Microsoft Support Diagnostic Tool (MSDT) which can run diagnostic packs to ...

Master the derivation of backpropagation with a clear, step-by-step explanation! Understand how neural networks compute gradients, update weights, and learn efficiently in this detailed tutorial.

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back Propagation in Neural Networks. In this video, we are using using binary ...

Abstract: Energy management, for example in building smart grids, often leads to an optimization problem, continuous or combinatorial, such as a linear or quadratic program (LP/QP), depending on the ...

Measurements at the Large Hadron Collider have been stymied by one of the most central phenomena of the quantum world. But now, a young researcher has championed a new method to solve the problem ...