Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
A mathematical trick speeds up seismic calculations for earthquake simulations and could revolutionize earthquake preparedness.
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Q&A: Could light-powered computers reduce AI's energy use?
A key problem facing artificial intelligence (AI) development is the vast amount of energy the technology requires, with some ...
Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...
Researchers at DTU have developed a nanolaser that could be the key to much faster and much more energy-efficient computers, ...
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