Did DeepSeek just deep-six estimates about AI's energy needs? The Chinese upstart claims a far more efficient AI model, ...

Neuromorphic computing—a field that applies principles of neuroscience to computing systems to mimic the brain's function and ...

The combination of enhanced hardware and a more powerful programming language reinforces BTCS's position as a premier ...

Researchers say neuromorphic systems are reaching a “critical juncture,” with scale being a key metric to track the progress of the field.

Under the new Energy Efficiency Framework, the IESO will work with First Nation communities to explore options to increase the incentive amount where needed to support larger projects. Programming for ...

Researchers outline a bold strategy to scale neuromorphic computing, aiming to match human brain functionality with minimal ...

As the electricity consumption of AI is projected to double by 2026, neuromorphic computing emerges as a promising solution.

A review article about the future of neuromorphic computing by a team of 23 researchers, including two authors from UTSA, was ...

European users will benefit not only from the wide range of languages for which the models have been optimized, but also from significantly improved energy efficiency. As part of a partnership with ...