New tool leverages proprietary hiring success learning models trained on 150M+ hiring outcomes and proven science ...
Emotion regulation isn’t just about coping skills. Research shows culture, avoidance, and bodily awareness shape how we ...
The Department of Energy (DOE) has released detailed technical specifications for 26 artificial intelligence (AI) challenges ...
As part of the 2026 CRN MSP 500, managed service provider executives described the changes they made to their companies in ...
Abstract: In order to solve the problem of control performance degradation in bearingless interior permanent magnet synchronous motors (BIPMSM) due to mismatched parameters and external disturbances, ...
The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...
Office of Water Prediction (OWP) makes critical flood forecasts with the National Water Model. Despite improvements over time ...
At the end of 2024, no AI had even managed to place 100th in one of the major competitions. But they have since vaulted up ...
A predictive approach to entrepreneurial decision making maximizes the likelihood of medical innovators’ success. But due to ...
Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...
Analysts chase root causes, managers run fire drills, and everyone explains last quarter while the next set of issues is already forming.
Pfizer, Eli Lilly, Novartis, Bristol Myers Squibb and AstraZeneca are all ramping up the use of AI, but drug discovery is not the primary success story—yet.
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