Researchers have released what they describe as the first publicly accessible emotion recognition dataset based on millimetre ...

For a long time, studying brain activity meant being inside a lab, connected to bulky machines, and operating in a controlled ...

Meta’s new TRIBE AI model decodes brain activity with 70x higher resolution. Discover how this foundation model uses fMRI ...

Abstract: Smartphone-based Human Activity Recognition (HAR) typically relies on deep learning models. However, performance varies with encoder architecture and the availability of labeled data. To ...

Philippe Blondel receives funding from UK Research and Innovation (UKRI), through the Engineering and Physical Sciences Research Council (EPSRC) and the UKRI Horizon Europe Guarantee. Access to the ...

Climate change is having a profound impact on the Arctic. We know that the region is warming significantly faster than the global average, resulting in the melting of sea ice and disrupted habitats.

The widespread integration of inertial sensors in smartphones has encouraged on considerable research interest in gait recognition and human identification. Nonetheless, early foundational studies ...

In his illuminating book Co-Intelligence, Ethan Mollick describes the potential for human-AI collaboration. He suggests that it will be critical for humans to remain “in the loop” when engaging with ...

The following details transformation of open source raw data files from the Human Activity Recognition using Smartphones dataset in the UCI Machine Learning Repository from their initial raw component ...

Name Recognition in iOS 26 lets your iPhone listen for your name even when you are wearing earphones. When someone calls you, your iPhone shows a notification so you stay aware while listening to ...

World’s First IND Approval in Oncology Based Solely on Human Vascularized Organoid Efficacy Data Confirms Shift Toward Human-Relevant Preclinical Testing SAN DIEGO, Calif. – October 27, 2025 – ...