Interpretable AI in materials discovery: Uncovering how models make predictions

A method to interpret artificial intelligence (AI) models used in materials discovery by analyzing their learned features has been developed by researchers from Japan. The method extracts key features ...
Tech Xplore

'Reading relationships, crunching stats'—184-times faster data analysis

A research team at POSTECH led by Professor Wook-Shin Han of the Department of Computer Science and Engineering and the ...

AI helps reveal large-scale quantum effects hidden in stacked atomic sheets

Quantum materials are a class of exotic materials with special properties that are governed by quantum mechanics rather than ...

Flatiron startup Jedify snags $24 million to address AI context problem

New York City startup Jedify has raised $24 million to help companies connect internal data to AI applications.
The Hacker News

Six Proto6 Vulnerabilities in protobuf.js Expose Node.js Apps to RCE and DoS

Six Proto6 flaws in protobuf.js enable RCE and DoS attacks; patched in versions 7.5.6 and 8.0.2 to protect Node.js services.
The Caledonian-Record

Brian Ferdinand Discusses How Data and Discipline Are Reshaping Modern Investing

LAS VEGAS, NV / / June 8, 2026 / As financial markets become increasingly complex and interconnected, investors are relying ...
SF Weekly

How a San Francisco open-source project became the data layer for global AI

San Francisco's AI economy is mostly being defined by the companies spending the most. Foundation model labs raise billions, ...
The Caledonian-Record

QumulusAI to Participate in Maxim Virtual AI Data Center Conference

ATLANTA, GA / ACCESS Newswire / June 8, 2026 / QumulusAl , a vertically integrated Al cloud infrastructure company, today announced that Chief Executive Officer Mike Maniscalco will participate in ...