In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

AI 2.0 is different and challenges that belief as larger models are proving far less valuable in practice. Rather than ...

In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

QA teams now use machine learning to analyze past test data and code changes to predict which tests will fail before they run. The technology examines patterns from previous test runs, code commits, ...

Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and data professionals preparing for machine ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Antiphospholipid syndrome, also known as APS, is an autoimmune disease that sits at the intersection of inflammation and blood clotting. Antiphospholipid syndrome is best known for increasing the risk ...

Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.

Northern Nevada has attracted investments from several tech companies looking to expand their data infrastructure, and while ...

Last year, the Wall Street Journal won a Pulitzer for an investigation that used artificial intelligence. To map out the ...