Reading view

Next-generation computing relies on extremely thin semiconductors—now there's a better way to make them

The ability to develop extremely thin semiconductors is key to advancing the fields of electronics and computing. But so far, there's been a trade-off between the quality of these semiconductors and the ability to make them at industrial scale. Prof. Cong Su and his research team have found a solution that combines the best aspects of two methods to make high-quality materials at scale.

  •  

World-first spintronic p-bit on silicon chip points toward larger AI-ready p-computers

A Japan–U.S. collaborative research team has demonstrated the world's first integrated spintronic probabilistic bit, or p-bit, fabricated on a silicon chip using semiconductor manufacturing processes. The team, consisting of researchers from Tohoku University and the National Institute of Standards and Technology, experimentally verified the operation of the p-bit, a key building block for probabilistic, or p-, computers. The achievement provides a pathway toward large-scale spintronic p-computers for applications such as AI and machine learning.

  •  

Photon-driven synapse advances low-power neuromorphic systems

Modern artificial intelligence systems rely on moving large amounts of data between memory and processors, a design that limits speed and increases energy use. The human brain works differently: it combines memory and computation within synapses, allowing fast, efficient learning and perception. Replicating this approach in hardware is a central goal of neuromorphic computing, especially for tasks like vision, where most real-world information is gathered and processed.

  •  
❌