The world is abuzz with the new opportunities being created by artificial intelligence (AI), enabled by the availability of unprecedented amounts of data. AI runs on the semiconductor engine, and in ...

Energy-efficient neural network computing represents a transformative approach to mitigating the increasing energy demands of modern artificial intelligence systems. By harnessing cutting-edge ...

RUST, Germany, March 18, 2025 /PRNewswire/ -- MiTAC Computing Technology Corp., a subsidiary of MiTAC Holdings Corp. (TSE:3706) and a leading manufacturer in server platform design, unveils its latest ...

As computing demands grow, driven by artificial intelligence and the internet of things, the need for energy-efficient electronics becomes critical. At the heart of this evolution are transistors, the ...

ST PAUL, Minn. — A University of Minnesota professor is trying to solve a global energy problem heightened by artificial intelligence. By next year, experts at the International Energy Agency (IEA) ...

The growth of energy efficiency in traditional computer chips is slowing due to physical limitations, coinciding with a rapid increase in energy demands from the tech sector, especially artificial ...

What if the key to unlocking artificial general intelligence (AGI) lies not in brute computational power but in something as unassuming as thermal noise? Imagine a world where AI systems capable of ...

Physicists are developing an innovative approach that will significantly improve the energy efficiency of computers. They take their inspiration from the human brain. (Nanowerk News) The rapid ...

Machine learning and nanophotonics combine to enable fast, energy-efficient computing and sensing with potential for transformative AI-driven technologies. Fueled by metasurfaces and integrated ...

As artificial intelligence (AI) proliferates rapidly, AI models and datasets are also growing rapidly in size. This growth far outpaces performance improvement in hardware systems, and is increasing ...