Such were the roots of cloud computing as we have come to know it. In that sense, cloud is a trip back to the future... For example, no one talks about minicomputers anymore, even though for the ...

Traditional timing solutions, long dominated by quartz-based oscillators, are reaching the limit of their functionality in ...

AI is largely powered by data centers that field queries, store data and deploy information. As AI becomes ubiquitous, the power demand for data centers increases, leading to grid reliability problems ...

Deep learning has advanced rapidly, driving breakthroughs in image recognition, natural language processing, and autonomous ...

Edge computing and AI are revolutionizing utility operations by enabling real-time, autonomous decision-making at the grid ...

Capstone Green Energy and Microgrids 4 AI are collaborating to develop off-grid microgrids with advanced liquid cooling for ...

The opportunity has arrived; what does a complete humanoid robot industrial chain look like? Which companies are positioning ...

Policymakers are taking a hard look at a tough-love solution: bumping energy-hungry data centers off grids during power ...

Years before Amazon Web Services launched in March 2006, there were a slew of grid computing startups and incumbent system makers – and a few of them with deep supercomputing experience – that were ...

Aleksandar Grbic of Hitachi Energy discusses why data centers need to build flexibility into their systems and operations.

The Busy Beaver Challenge, a notoriously difficult question in theoretical computer science, is now producing answers so ...