Technology developed at Swansea University has won funding to help deliver better battery systems to Sub-Saharan Africa.

(IDAHO FALLS, Idaho) – The Idaho National Laboratory (INL) has been chosen to serve as the chief digital officer for the Semiconductor Manufacturing and Advanced Research with Twins USA Institute (SMART USA). This Manufacturing USA Institute, funded by the National Institute for Standards and Technology CHIPS for America program and launched in 2025, is led by Semiconductor Research Corporation Manufacturing Consortium Corporation.

A new training interface allows a robot to learn a task in several different ways. This increased training flexibility could help more people interact with and teach robots — and may also enable robots to learn a wider set of skills.

Researchers from the University of Tokyo in collaboration with Aisin Corporation have demonstrated that universal scaling laws, which describe how the properties of a system change with size and scale, apply to deep neural networks that exhibit absorbing phase transition behavior, a phenomenon typically observed in physical systems. The discovery not only provides a framework describing deep neural networks but also helps predict their trainability or generalizability. The findings were published in the journal Physical Review Research.

The development of an Integrated Real-Time Precise Point Positioning (InRPPP) system leveraging BeiDou Navigation Satellite System (BDS) B2b, B2a, and B1C services has significantly enhanced satellite-based positioning accuracy.