Key Takeaways Georgia Tech charges only $21,570 total while MIT costs $77,020 annually for identical data science engineering ...

This article explores the current applications of artificial intelligence (AI) in chromatography. It anticipates AI’s ...

For over a decade, researchers have considered boson sampling—a quantum computing protocol involving light particles—as a key ...

The results are really astonishing. Tests show that offices save up to 37% on their energy bills with AI-optimized and ...

A research team led by Prof. Wan Yinhua from the Institute of Process Engineering (IPE) of the Chinese Academy of Sciences ...

Iya Khalil, PhD, discusses Merck & Co.’s approach to artificial intelligence (AI), and success in applying the technology, ...

The question for biomanufacturing leaders is no longer whether to modernize their scientific data infrastructure, but how ...

On the 18th of june 2025, at the SWITCH renewable energy fieldlab in Lelystad, TNO demonstrated a realistic live cyber-attack ...

His research uses novel quantitative, automated, and machine learning methods to analyze non-traditional data sources such as audio (or speech) data and video data. Professor Dietrich’s work has ...

Barren plateaus are stretches of the quantum algorithm optimization landscape so unnervingly flat that gradient‑based methods ...

While retrieval augmented generations (RAGs) and agents grab attention, what’s next is really a search across your data.