Explore the role of activation functions in deep learning and how they help neural networks learn complex patterns.

Confused about activation functions in neural networks? This video breaks down what they are, why they matter, and the most common types — including ReLU, Sigmoid, Tanh, and more! #NeuralNetworks #Mac ...

A research team has identified a molecular mechanism that coordinates the operation of the N-methyl-D-aspartate (NMDA) ...

This important study investigated whether the nuclear receptor Nur77 is regulated by a non-canonical mechanism of ligand-induced disruption of its interaction with RXRg, similar to the family member ...

Enzyme kinetic data from the BRENDA database were mapped onto the genome-scale metabolic model of Saccharomyces cerevisiae to ...

Function’s lab testing platform is available at all 2,200 Quest Diagnostics locations nationwide. Ezra debuted in 2018 as a healthcare AI company that offers full-body magnetic resonance imaging ...

Google DeepMind published a paper describing their AlphaEvolve coding agent. AlphaEvolve uses LLMs to discover and optimize ...

For over a decade, scientists have debated the risks and benefits of so-called “gain of function” research. They’ve long tinkered with viruses and bacteria to endow them with new functions ...