"An AI system can be technically safe yet deeply untrustworthy. This distinction matters because satisfying benchmarks is necessary but insufficient for trust."| Technology News ...

AI transformation cannot be "AI for everything." Successful enterprises focus on a limited set of high-impact use cases with measurable outcomes.

AI agents can handle physics-based modeling complexity while engineers focus on design judgment and tradeoffs.

How an AI-first approach, co-engineered with AWS, is helping airlines move from reactive operations to proactive, predictive ...

As oil and gas operations become more digital and complex, workforce readiness is increasingly defined by the convergence of engineering, data and safety.. Engineering, digital skills and safety ...

Snowflake and OpenAI have announced a multi-year, $200 million partnership that will make OpenAI models available on Snowflake's platform.

U.S. Army PEO Enterprise held a strategic whiteboarding session on shared tools Jan. 13 at Aberdeen, Maryland with the Army ...

People derive purpose from effort and achievement, so positioning them as reviewers ‘in the loop’ strips away that sense of ...

Digital twins revolutionize drug discovery by integrating AI and biological data, enhancing prediction, trial design, and ...

This is where AI-augmented data quality engineering emerges. It shifts data quality from deterministic, Boolean checks to ...

Despite the near-term turbulence, India continues to emerge as a major hub for data engineering and AI talent. Companies across sectors, including finance, healthcare, manufacturing, retail, and ...

Software-defined vehicles require new frameworks as automakers shift from hardware-focused to software-centric development ...