New method separates brain signals to show how complex actions are organized

A new Northwestern Medicine study has introduced a novel machine learning method for analyzing how the brain organizes ...
GitHub

SigMT: An open-source Python package for magnetotelluric data processing

SigMT is an open-source Python package developed for the processing of magnetotelluric (MT) time series data to estimate MT impedance and tipper responses. The package enables data processing with ...
GitHub

emlearn-micropython

Machine Learning and Digital Signal Processing for MicroPython. Provides convenient and efficient MicroPython modules, and enables MicroPython application developers to run efficient Machine Learning ...

Micron: Its HBM4 Crucial Catalyst Is Still Being Ignored

HBM4 and strategic customer agreements lock in ~40% revenue, boost margins, and reduce cyclicality amid AI demand—read the ...
Frontiers

Towards Automated Analysis of Connectomes: The Configurable Pipeline for the Analysis of Connectomes (C-PAC)

To successfully examine the brain’s functional architecture (connectome) and its behavioral associations, researchers need tools that facilitate reliable, replicable connectivity analyses. Here we ...
Tech Times

OpenAI Gets First Access to Cloudflare’s Real-Time Web Signals by Separating Its Crawlers

Cloudflare OpenAI AI search indexing pilot channels real-time CDN cache signals into ChatGPT’s crawl system, closing the ...
eLife

Celldetective, an AI-enhanced image analysis tool for unraveling dynamic cell interactions

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...