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

Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are two widely used neuroimaging techniques, with complementary strengths and weaknesses. Predicting fMRI activity from ...

AI needs data centers with high power density, as well as changing power and cooling requirements. Hyperscalers require high-capacity data centers to meet the escalating power needs of AI and ...

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 ...

Abstract: A new class of neural networks has been recently introduced to solve problems based on some physical model. Such networks are called “Physical-Informed Neural Networks” (PINN). PINN are ...

PHILADELPHIA – Eagles head coach Nick Sirianni and offensive coordinator Kevin Patullo are in lockstep when it comes to the idea that Philadelphia’s embattled offense is predictable, pointing the ...

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 ...

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 ...

Traipse into the world of artificial intelligence research, and it won’t take long to stumble across a concept known as the “singularity.” A loan word from astrophysics describing the heart of a black ...

The big picture: You can't go five minutes these days without hearing about AI this and AI that. But have you ever wondered how we got here? The credit largely goes to a groundbreaking neural network ...