AI could soon surpass Bitcoin mining in energy consumption, according to a new analysis that concludes artificial ...

The new supercomputer shows the increasing desire of government labs to adopt more technologies from commercial artificial ...

Solar and wind power, then, would seem not to be a great fit for a lot of AI electricity demand, unless they’re paired with ...

Modern computer chips generate a lot of heat—and consume large amounts of energy as a result. A promising approach to ...

The speed of decision-making at the grid edge has become critical for maintaining stability, preventing cascading failures, ...

But getting AI models (even small ones) to run reliably on people’s personal devices will require a step change in the chips ...

In recent years, Meta has seen an annual increase in computing demand for machine learning training and inference of more than 100 per cent. As AI use grows, energy demand will increase, making the ...

The enormous computing resources ... result in massive power consumption. Researchers have developed a method that is 100 times faster and therefore much more energy efficient.

This approach, known as biological computing, could slash energy consumption in computational processes. A recent article in The Conversation highlighted this concept, which draws on nature's own ...