Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.

Industrial AI deployment traditionally requires onsite ML specialists and custom models per location. Five strategies ...

Key TakeawaysThe Materials Project is the most-cited resource for materials data and analysis tools in materials science.The ...

Assistant Professor Yupeng Zhang and his team, along with researchers from the University of California, Irvine, received a ...

Hybrid learning models are emerging as a fundamental tool for student engagement, improving accessibility, and better ...

The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...

Intrusion detection systems, long constrained by high false-positive rates and limited adaptability, are being re-engineered ...

Central Georgia Technical College says it aims to align its academic programs with the nation’s picture of AI advancement.

Learned risk-taking behaviours can persist for years after leaving the lab — and even after taking on a new research topic.

OpenJDK project teams will focus work on features such as value types, code reflection, AOT compilation, and structured ...

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...