Just as with LLMs, success in other frontiers of AI will require access to large volumes of high-quality data. That will ...

Data centers are crucial for storing, processing, and distributing vast amounts of data in the modern era, as internet-based data-transfer services are essential in our daily work and personal lives.

Learn how systems engineering is shifting from document-centric practices to model-based, data-driven approaches that reduce ...

Integrating AI into chip workflows is pushing companies to overhaul their data management strategies, shifting from passive storage to active, structured, and machine-readable systems. As training and ...

Many engineering teams still rely on architecture optimized for transactional apps, not for AI systems that mix structured and unstructured data and live event streams. This legacy architecture has ...

People have always looked for patterns to explain the universe and to predict the future. “Red sky at night, sailor’s delight. Red sky in morning, sailor’s warning” is an adage predicting the weather.

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across the entire tree of life, Evo 2 can identify patterns in gene sequences across ...

AI infrastructure is scaling fast, and its need for energy has moved firmly into the spotlight. News cycles are increasingly dominated by debates about AI’s impact on power systems, consumer energy ...