Microchip Expands dsPIC33A DSC Family for High-Density AI Data Center Power, Complex Motor Control and Intelligent Sensing

As AI servers, data centers, automotive and industrial systems demand higher efficiency designs, deterministic real-time control and quantum-resistant cryptography, Microchip Technology Inc. (Nasdaq: ...

Monkeys navigate a virtual forest with thought alone, pushing brain-computer interfaces beyond the lab

As a part of a study testing out a new type of implanted brain-computer interface (BCI), three rhesus monkeys controlled ...

Microchip Technology Inc.: Microchip Expands dsPIC33A DSC Family for High-Density AI Data Center Power, Complex Motor Control and Intelligent Sensing

As AI servers, data centers, automotive and industrial systems demand higher efficiency designs, deterministic real-time control and quantum-resistant ...

Machine learning detects more than 60,000 earthquakes during 2025 Santorini sequence

The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...
Nature

AI models ‘subliminally’ transmit biases when training other systems

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...
eLife

The Locomoting State Selectively Amplifies Activity of Sensitizing Neurons in Primary Visual Cortex

This manuscript presents a valuable analysis of how locomotion modulates the activity of different subtypes of cortical neurons in the mouse primary visual cortex, showing that locomotion more ...
eLife

Serotonergic modulation of motor subspace dynamics drives a sleep-independent quiescent state

The dorsal raphe nucleus (DRN) serotonergic (5-HT) system has been implicated in regulating sleep and motor control; however, its specific role remains controversial. In this study, we found that ...
EdTech Magazine

CoSN2026: 3 Ways Districts Are Using Artificial Intelligence

At the 2026 CoSN Annual Conference in Chicago, artificial intelligence touched nearly every session in some way, appearing in ...
Frontiers

Computational Frameworks for Decision-Making: From Bayesian Inference to Reinforcement Learning Models

The ability to make adaptive decisions in uncertain environments is a fundamental characteristic of biological intelligence. Historically, computational ...
Frontiers

Generative Models of Neural Activity: Using AI to Simulate, Interpret, and Predict Brain Dynamics

The advent of high-density recording technologies, such as Neuropixels and large-scale calcium imaging, has provided an unprecedented look into the ...