A new technical paper titled “Integrated non-reciprocal magneto-optics with ultra-high endurance for photonic in-memory computing” was published by researchers at UC Santa Barbara, University of ...
The development of deep learning has motivated the advancement of unconventional computing that leverages analog physical systems such as analog electronics, spintronics, and photonics. These ...
For the first time, an international cadre of electrical engineers has developed a new method for photonic in-memory computing that could make optical computing a reality in the near future. The team ...
A research team from the University of California, Santa Barbara, has developed a photonic platform for in-memory computing that addresses challenges such as low switching speeds and limited ...
One of the biggest obstacles to fully optical computing has been the lack of a fast, scalable photonic memory cell. Researchers at the University of Wisconsin–Madison have demonstrated what they are ...
A new publication from Opto-Electronic Sciences; DOI 10.29026/oea.2025.240135, discusses how quasi-convolution coding empowers a streamlined reservoir computer. As the pace of digitalization ...
Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI Deep learning and artificial intelligence continue to push ...
RIYADH, Saudi Arabia, Dec. 2, 2025 /PRNewswire/ -- On December 1, 2025, at the Saudi Industrial Transformation Expo held at the Riyadh International Exhibition Center in Saudi Arabia, an ...
Researchers have developed a new type of memory cell that can both store information and do high-speed, high-efficiency calculations. The memory cell enables users to run high-speed computations ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback