Benchmark of 1.4 million checked protein structures could sharpen AI predictions

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...
University of California, San Francisco

The Brain May Learn More from Rare Events than from Repetition

How we learn to predict an outcome isn’t determined by how many times a cue and reward happen together. Instead, how much ...
The New England Journal of Medicine

From Promise to Practice: The Next Era of AI in Health Care

This special theme issue of NEJM Catalyst Innovations in Care Delivery, guest edited by Sara Murray, MD, MAS, includes articles, case studies, and research reports on the impacts of AI on clinical ...

Q&A: Algorithm achieves near end-to-end genome assembly without ultra-long DNA sequencing

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

AI algorithm enables tracking of brainstem's vital white matter pathways

The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...
GitHub

Data Structure and Algorithm - I Lab (II Year - III Sem)

This repository contains solution code files for the "Data Structure and Algorithm - I Lab" course as provided on the CodeTantra platform by Noida Institute of Engineering and Technology. The files ...
Frontiers

A novel reinforcement learning framework-based path planning algorithm for unmanned surface vehicle

Unmanned surface vehicles (USVs) nowadays have been widely used in ocean observation missions, helping researchers to monitor climate change, collect environmental data, and observe marine ecosystem ...
IEEE

Learning Graph Structures With Autoregressive Graph Signal Models

Abstract: This paper presents a novel approach to graph learning, GL-AR, which leverages estimated autoregressive coefficients to recover undirected graph structures from time-series graph signals ...
VentureBeat

Meet AlphaEvolve, the Google AI that writes its own code—and just saved millions in computing costs

Google DeepMind today pulled the curtain back on AlphaEvolve, an artificial-intelligence agent that can invent brand-new computer algorithms — then put them straight to work inside the company's vast ...