Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning.

At the University of Electro-Communications, a research team led by Mizuho Asako, Yasuyuki Tahara, Akihiko Ohsuga, and Yuichi Sei has developed a new deep learning model called "HikingTTE" that ...

Researcher have developed a "Shallow Brain" AI model that mimics the connections between the cortex and subcortical regions, ...

A team of researchers in the Netherlands has proposed a new way of designing computer models of the brain—an approach that could also influence future artificial intelligence (AI) systems. In most ...

Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...

Validating a semantic similarity approach for automated data extraction in phase II oncology trials. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...

Safety and biomarker assessment of ST316, a novel peptide antagonist of ß-catenin, in patients with advanced solid tumors. This is an ASCO Meeting Abstract from the 2025 ASCO Gastrointestinal Cancers ...

A research team has developed a groundbreaking deep learning-based method for analyzing the cytoskeleton -- the structural framework inside cells -- more accurately and efficiently than ever before.

A biology-guided artificial intelligence model applied to routine pathology slides accurately predicted outcomes and response ...