A team from Nagoya University and the University of Tokyo used Claude Code to port CReSS, a 250,000-line Fortran typhoon simulator, to GPUs, achieving 162 validated GPU kernels and a 5.1x speedup on a…
Tl;dv, an AI meeting notetaker used by over two million people, left 181,874 meeting records fully accessible to any authenticated user for six months, including active conference IDs for live Google …
Mitsubishi Motors has signed a Memorandum of Understanding with Highlanders, Inc., a University of Tokyo spinout, to jointly develop and mass-produce AI-powered humanoid robots at its Kyoto plant, tar…
Researchers at Meta, Stanford University, the University of Tokyo, and France's École Normale Supérieure developed the EgoBabyVLM Challenge, a test that reveals cutting-edge vision language models fai…
New data reveals that 88% of U.S. companies use AI in at least one business function versus 26% of Japanese firms, but Japanese manufacturers using AI reported 15% higher efficiency gains than U.S. co…
University of Tokyo researchers identified a neural mechanism in mice that links social memory to fear, causing aversion to specific individuals. The study found strengthened connections between the h…
IEEE has honored robotics pioneer Toshio Fukuda with the 2025 Richard M. Emberson Award for his distinguished service advancing robotics. Fukuda, an IEEE Life Fellow and former IEEE president, is reco…
A team from Tsinghua University, the Chinese Academy of Sciences, and the University of Tokyo developed an all-organic, flexible brain-computer interface chip that retained 94% signal efficiency after…
The Japanese and U.S. governments announced a five-year, $1 billion plan on Thursday to jointly develop scientific technologies using artificial intelligence, with each country contributing $500 milli…
Researchers from over 30 institutions worldwide, including the University of Tokyo, Microsoft Research, and Tsinghua University, have developed ChatPaper, a tool that enables users to explore and inte…
Researchers from Sakana AI and the University of Tokyo developed DiffusionBlocks, a block-wise training framework that converts residual networks into independently trainable denoising modules. The me…