Yee & Kawashima

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TEAMZ Summit 2025 Official Agenda Announced - Key Sessions on the Future of Web3 & AI Confirmed

The official agenda for TEAMZ Summit 2025, taking place on April 16-17, 2025, at Toranomon Hills International Forum, has been released. As Japan's largest

Blockchain 4month
Deep learning analyzes cellular cytoskeleton with high precision

A research team at Kumamoto University has developed a deep learning-based method for analyzing the cytoskeleton—the structural framework inside cells—more accurately and efficiently than ever before.

Deep Learning 5month
Japan's Nissan tests driverless vehicles in city streets filled with cars and people

The driverless technology from Nissan Motor Corp., which uses 14 cameras, nine radars and six LiDar sensors installed in and around the vehicle, highlights Japan's eagerness to catch up with players like Google's Waymo that have taken the lead in the U.S.

This Japanese AI unicorn has big plans to use deep learning to fix 'real-world' problems

"For the past 10 years, we have been working on using AI to solve real-world problems," Daisuke Okanohara of Preferred Networks told CNBC's "Managing Asia."

Deep Learning 5month
Cohere claims its new Aya Vision AI model is best-in-class

Cohere for AI, Cohere's nonprofit research lab, has released an 'open' multimodal AI model, Aya Vision, the lab claims is best-in-class.

Singapore Aquatics adopts drone technology and artificial intelligence in training

The computer vision algorithms and analytics system is developed by researchers from Singapore Management University and Singapore University of Technology and Design. Read more at straitstimes.com.

Japan tests AIREC robot to roll patients, easing elderly care challenges

Developed by researchers from Waseda University, the AI-driven robot addresses Japan's caregiver shortage in the wake of an ageing population.

Robotics 5month
Deep learning model boosts plasma predictions in nuclear fusion by 1,000 times

A research team, led by Professor Jimin Lee and Professor Eisung Yoon in the Department of Nuclear Engineering at UNIST, has unveiled a deep learning-based approach that significantly accelerates the computation of a nonlinear Fokker-Planck-Landau (FPL) collision operator for fusion plasma.

Deep Learning 5month