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

These developments suggest AI’s impact on materials R&D is as much organisational as it is technical, shifting labs toward ...

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 ...

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 ...

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 ...

Many enterprise AI initiatives continue to struggle — with 95% failing to deliver ROI due to inadequate data infrastructure ...

Have you watched Minority Report?" DTU Professor Jochen Teizer is prone to asking when explaining his research. In the Hollywood blockbuster, Tom ...

The authors of Manpower Group’s latest Global Workforce Trends Report sought to tackle this question, suggesting that the era ...