By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

A research team has successfully implemented a programmable spinor lattice on a photonic integrated circuit (PIC). This platform enables the realization of non-Abelian physics, in which the outcome of ...

Abstract: Neural networks (NNs) have gained significant popularity for modeling complex, nonlinear systems due to their powerful approximation capabilities. However, designing an appropriate network ...

An early proof-of-concept demo of Meta's neural gesture band connected to Garmin's smart car interface is the company's next push to expand the applications of neural technology. I started with CNET ...

Abstract: This article proposes a dynamic neural network (DNN)-based control method to realize the optimal control of nonlinear parameter-varying (NPV) systems. Specifically, a DNN-based control ...

The development of deep learning has motivated the advancement of unconventional computing that leverages analog physical systems such as analog electronics, spintronics, and photonics. These ...

Attentional alerting—evoked by an accessory stimulus such as a tone presented briefly before target onset—generally decreases response time (RT) but this decrease is smaller in trials with a conflict ...

T-Mobile has extended its Advanced Network Solutions (ANS) portfolio with Edge Control and T-Platform, offering capabilities that are “purpose-built for mission-critical operations” where data is ...

Nonlinear systems and networks theory is a branch of automatic control theory. It takes systems and networks described by nonlinear differential equations or difference equations as its research ...