In 2026, owning a domain won’t just be about staking a claim on the web. It will mean establishing trust, flexibility, and ...

Machine Learning (ML) has reached an inflection point – at least in terms of messaging. For my first article as part of the TIRIAS Research contributor group, I’ll take this space to level set on a ...

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...

Machine learning and its younger sibling deep learning are continuing their acceleration in terms of increasing the value of enterprise data assets across a variety of problem domains. A recent talk ...

The authors devise an efficient quantum approach to address the van der Waals interactions due to photoexcitations by approximating the Bethe-Salpeter equation. Both attractive/repulsive forces can ...

In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

The accelerating power of machine learning in diagnosing disease and in sorting and classifying health data will empower physicians and speed-up decision making in the clinic. This Collection is ...

Using AI and machine learning as transformative solutions for semiconductor device modeling and parameter extraction.

Who is the Master's in Artificial Intelligence and Machine Learning program for? Drexel’s College of Computing & Informatics' Master of Science in Artificial Intelligence and Machine Learning (MSAIML) ...