The Deployed Data Scientist: MLOps and Analytics in Practice, co-authored by Ankit Anand, Dr. Scott Burk, and Kinshuk Dutta, is helping data professionals address one of the industry’s most pressing ...

Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...

Abstract: Understanding the human genome is a big research challenge. The huge complexity and amount of genome data require extremely effective and efficient data management policies. A first crucial ...

A new study, published July 6, 2026, in the journal Nature Communications, suggests that two of the best-known trends in ...

By evolving their network architecture to support real-time telemetry, segment routing, and FlexAlgo capabilities within ...

China is pioneering a distinct AI approach, prioritizing systems for real-time urban, industrial, and logistical coordination ...

Genomic surveillance—the process of monitoring and sequencing pathogens—is one of the most important tools for detecting ...

Educating used to be about explaining concepts – now it’s about designing experiences to help the brain develop understanding. Find advice to tweak your teaching here ...

Earlier today, the ABC flagged a shift in its position on generative artificial intelligence (AI) use in its news production.

Qualcomm's latest wearable platform could enable smarter devices, but better hardware alone won't drive adoption. Success ...

According to Thomas Schmalzer, VP global sales and product management at Novomatic, technology is fundamentally reshaping jackpot systems by making them more dynamic, scalable and data-driven.