News

Tesla and SpaceX plan a major facility to produce advanced chips for AI, robotics, and space computing to meet growing internal demand.

New hafnium-based memristor mimics neuron connections with ultra-low power and high stability, potentially reducing AI energy use by up to 70% while enabling adaptive learning in hardware.

This post collects links to other interesting news that we have considered but not included in our regular news this week.

Charles H. Bennett and Gilles Brassard receive the 2025 ACM Turing Award for foundational work in quantum information science.

This ultra-low-power semiconductor enables on-device learning of user habits and emotions while keeping all data private and responding in just 0.2 seconds.

Using AI protein modeling and a new screening system, scientists enhance a small DNA-editing enzyme to achieve higher efficiency with less unwanted damage and toxicity.