International researchers develop NTAC, an AI that identifies neuronal types with 90% accuracy based purely on synaptic connectivity, outperforming traditional shape-based methods.

Recent technological advances facilitate the reconstruction of complete brain connectomes in small organisms and partial connectomes in mammals, involving the mapping of the network of neurons and ...

The annotation, recruitment, grounding, display, and won gates determine which content AI engines trust and recommend. Here’s ...

The AACE update to its 2026 algorithm for the management of type 2 diabetes includes a new section on diabetes classification.

Complete financial results are included in the Company’s Quarterly Report on Form 10-Q for the fiscal quarter ended January 31, 2026, which has been filed with the U.S. Securities and Exchange ...

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...

Abstract: Sequence classification is a fundamental research issue in data mining and machine learning. However, existing sequence classification methods primarily focus on improving the prediction ...

aDepartment of Medicine, University of California San Francisco, San Francisco, CA, USA bDepartment of Medicine, University of California Los Angeles, Los Angeles, CA, USA cDepartment of Medicine, ...

A new study published in Nature has found that X's algorithm—the hidden system or "recipe" that governs which posts appear in your feed and in which order—shifts users' political opinions in a more ...