Scores show outcomes, but they don’t reveal how a data system is built, tested and operated, or whether the data meets the ...

The promise of smart test is a data-chain problem before it is an algorithm problem. A device can pass every checkpoint and still carry a latent defect the test record never captured. As test grows ...

The Telangana Engineering, Agricultural and Pharmacy Common Entrance Test (EAPCET) 2026 for the engineering stream witnessed attendance rates of 93.44% and 93.05% in the first and second sessions, ...

The new Microsoft tools help engineers test assumptions and security before and during AI development.

Gray Swan works with every major frontier AI lab. Now it’s raised $40 million as it expands to sell security tools to ...

As our economy, society and daily life become increasingly dependent on data, new college graduates entering the workforce need to have the skills to analyze data effectively and from multiple angles.

The drops go beyond the pandemic and cut across income, geographic and racial divides, new data shows. By Claire Cain Miller Francesca Paris and Sarah Mervosh Something troubling is happening in U.S.

Companies like Lovable, Base44, Replit, and Netlify use AI to let anyone build a web app in seconds—and in thousands of cases, spill highly sensitive data onto the public internet.

DeepSWE, created by DataCurve offers a benchmark for assessing AI coding models by focusing on real-world programming challenges rather than synthetic test cases. According to Matthew Berman, one of ...