The Next Web

Furious AI researcher creates a list of non-reproducible machine learning papers

On February 14, a researcher who was frustrated with reproducing the results of a machine learning research paper opened up a Reddit account under the username ContributionSecure14 and posted the ...

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

Indian independent researcher Kunvar Thaman achieved a significant milestone with his solo-authored paper accepted at ICML ...
VentureBeat

Why machine learning struggles with causality

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More When you look at a baseball player hitting the ball, you can make ...
Nature

Computation and Machine Learning for Chemistry

The authors devise an efficient quantum approach to address the van der Waals interactions due to photoexcitations by approximating the Bethe-Salpeter equation. Both attractive/repulsive forces can ...
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 ...
Harvard Business School

Rawlsian Fairness for Machine Learning

Joseph, Matthew, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Rawlsian Fairness for Machine Learning." Paper presented at the 3rd Workshop on Fairness, Accountability, and ...
Tech Xplore on MSN

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 ...
Tech Xplore on MSN

Brain-inspired approach can teach AI to doubt itself just enough to avoid overconfidence

Most contemporary artificial intelligence (AI) systems learn to complete tasks via machine learning and deep learning. Machine learning is a computational approach that allows models to uncover ...
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 ...