Meet Kunvar Thaman: Solo Indian researcher whose paper was accepted at an elite AI conference dominated by OpenAI and DeepMind

An Indian independent researcher, Kunvar Thaman, has achieved a significant milestone. His solo-authored paper on measuring ...
Opinion
EurekAlert!Opinion

Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks, computer scientist says

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...
The Conversation

Machine learning cracked the protein‑folding problem and won the 2024 Nobel Prize in chemistry

The 2024 Nobel Prize in chemistry recognized Demis Hassabis, John Jumper and David Baker for using machine learning to tackle one of biology’s biggest challenges: predicting the 3D shape of proteins ...
EurekAlert!

NTT Research and Harvard scientists optimize biohybrid ray development with machine learning

Harvard John A. Paulson School of Engineering and Applied Sciences The Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) and NTT Research, Inc., a division of NTT, announced ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
pharmaphorum

AI-powered study finds multiple Parkinson’s types

The team, led by scientists at VIB and KU Leuven in Belgium, have identified two types of Parkinson's – and five subtypes – ...
Phys.org

Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions via a process called cell fate determination. The fate of individual cells, ...
Opinion
Tech Xplore on MSNOpinion

Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
Business Wire

NTT Research and Harvard Scientists Optimize Biohybrid Ray Development with Machine Learning

SUNNYVALE, Calif. & CAMBRIDGE, Mass.--(BUSINESS WIRE)--NTT Research, Inc., a division of NTT (TYO:9432), and the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) announced the ...