AI Chip Breakthrough: Memristors Mimic Neural Timekeeping

Artificial neural networks could soon process time-dependent data more efficiently with the development of a tunable memristor. This technology, detailed in a University of Michigan-led study, could significantly reduce AI energy consumption. Credit: SciTechDaily.com In…



The New ChatGPT Offers a Lesson in AI Hype

When OpenAI unveiled the latest version of its immensely popular ChatGPT chatbot this month, it had a new voice possessing humanlike inflections and emotions. The online demonstration also featured the bot tutoring a child on…



New Quantum Dot Technology Improves Solar Cell Efficiency

A research team has developed a novel “pulse-shaped” light method to enhance the electrical conductivity of PbS quantum dot solar cells. This new technique, which replaces the lengthy traditional heat treatment process, generates substantial energy…