Mechanistic interpretability is emerging as a strategic advantage for businesses looking to deploy AI responsibly.

"We present dissociative prioritized analysis of dynamics (DPAD), a nonlinear dynamical modeling approach that enables these capabilities with a multisection neural network architecture ... to test ...

Discover the 20 best neural network software. Learn about the features of each software and find the best one.

More information: Yin Huang et al, A multiscale differential‐algebraic neural network‐based method for learning dynamical systems, International Journal of Mechanical System Dynamics (2024).

United States Patent number 10,410,117 addresses a dynamic neural network within an AI device. During a learning process, values are generated and stored in the synaptic registers of the AI device ...

For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

These results enable us to design networks that count stimulus pulses, track position, and encode multiple locomotive gaits in a single central pattern generator circuit. Learning Objectives: 1. What ...

Floods are some of the most devastating natural disasters communities in the United States face, causing billions of dollars ...

Energy and memory: A new neural network paradigm A dynamic energy landscape is at the heart of theorists' new model of memory retrieval Date: May 14, 2025 Source: University of California - Santa ...