“My job is to collect and clean data,” says Associate Professor Tazro Ohta of Chiba University’s Institute for Advanced Academic Research, Graduate School of Medicine, and Data Science Core (DSC). As human genetic information has become easier to obtain as digitized data, analyzing it now requires advanced expertise and high-performance computing. By making his research products available as freely accessible open-source software and databases, Dr. Ohta is contributing to the development of data science. “I believe that data science needs a place where people can interact,” he told us, speaking about the importance and excitement of making databases open to the public.

Startup uses technology to transform uniforms and advertising banners into income, reducing the time it takes to connect raw materials to labor by 89%.

SAN ANTONIO — September 30, 2026 — Southwest Research Institute (SwRI) is using a generative artificial intelligence (AI) tool to improve pharmaceutical development outcomes. The SwRI-developed GAMES, or Generative Approaches for Molecular Encodings, leverages large language models (LLMs) to produce text strings representing chemical structures.

Ateneo de Manila University remains the Philippines’ highest-ranked university for the fifth consecutive year in the recently released 2027 Times Higher Education (THE) World University Rankings, placing in the 1001–1200 bracket among 2,297 institutions across 118 countries and territories. The primary engine of the Ateneo's overall global position is its research quality, with a score of 66.9—up from just 52.4 in 2024. It far outstripped its local rivals and many international institutions to land in the 705th spot for the metric worldwide.

Farshid Alambeigi’s research spans engineering, robotics, artificial intelligence, medical imaging, advanced manufacturing and surgery. His goal is not simply to build more sophisticated robots, but rather to create technologies surgeons will actually use — tools that address real clinical problems, improve patient care and have a realistic path from prototype to hospital.

Aaron Ames and his colleagues are pushing hard to establish the math-based safety layer for the two-legged robots before someone gets hurt.

On social media, Professor Eiryo Kawakami humorously introduces himself as a ‘Triple Dr.’ —a medical doctor (Dr.), a PhD holder (Dr.), and a drummer (Dr.). Behind this playful self-introduction lies a serious mission: advancing Artificial Intelligence (AI) and data science technologies for the early detection and prediction of disease. Professor Kawakami serves as the Director of the Center for Artificial Intelligence Research in Therapeutics, while also playing a central role in the management meetings of the Chiba University Data Science Core (DSC). Balancing these responsibilities with his research and personal interests makes for a busy but stimulating life.

“I enjoy intellectually exploring in many different directions,” he says. We spoke with him about his vision for the future of medicine powered by AI.