The Trump administration is demanding additional student enrollment data from federally funded universities to ensure they're no longer using affirmative action methods in their admissions processes.

Use the vitals package with ellmer to evaluate and compare the accuracy of LLMs, including writing evals to test local models.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

When everyone has access to the same AI models, the same AI-enabled tools, and the same vendor ecosystem, organizational ...

Department of Chemistry and Biochemistry, University of South Carolina, Columbia, United States ...

AI outputs vary because confidence varies. Corroboration and entity optimization turn inconsistent AI visibility into consistent presence.

Industrial yeasts are a powerhouse of protein production, used to manufacture vaccines, biopharmaceuticals, and other useful compounds. In a new study, MIT chemical engineers have harnessed artificial ...

The open Battery Data Format standard for battery testing data enables researchers, designers, and manufacturers, as well as ...

The Trump administration is demanding additional student enrollment data from federally funded universities to ensure they're no longer using affirmative action methods in their admissions processes.

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...

Abstract: In the context of the big data era, the extensive penetration of the Internet and the rapid development of database technology have led to an explosive growth in the amount of data generated ...

AppLovin posted 66% YoY revenue growth and 84% EBITDA margin in Q4 ’25, while reducing marketing and R&D expenses. Find out why APP stock is upgraded to buy.