MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

AI could transform materials R&D. But how it does this, and how well it is adopted, is yet to be seen. Here, we take a look ...

What if traffic could compute? This may sound strange, but researchers at Tohoku University's WPI-AIMR have unveiled a bold ...

Data inconsistencies arise when formats, units, or collection practices change over time, undermining model reliability. Poor ...

What if that traffic associated with the daily commute could be put towards computing? It may sound like a stretch, but that is what researchers from ...

Three out of the 10 fastest growing jobs in San Francisco involve artificial intelligence, according to data compiled by ...

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Explore how AI in finance is reshaping decision making. Learn what experts say about trusting fintech AI with investments, risk analysis, and financial automation.

AI fixes earnings forecasting when it expands coverage, standardizes signal extraction, and quantifies uncertainty. AI breaks forecasting when it creates false precision, synchronized expectations, ...

Every medication in your cabinet, every material in your phone's battery, and virtually every compound that makes modern life work started as a molecular guess, with scientists hypothesizing that a ...

How atomic-layer deposition and hybrid dielectrics are redefining reliability and scaling for AI-era semiconductors.