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As investments and revenues soar year-on-year and nations vie for leadership in the field of artificial intelligence, research output continues its steep, upward trajectory. But there are significant ethical and technical challenges to overcome.
To ensure that AI meets its potential as a transformative tool, it must be developed by a truly representative research community, say Tess Posner and Li Fei-Fei.
The Japanese Government is driving the development of AI-based innovations that aim to ease the healthcare burden and enable professionals to deliver better quality face-to-face care.
For the first time in the world, THE INVERSE SCATTERING PROBLEM, an unsolved problem in the history of applied mathematics, has been solved analytically
Supported by the positive spiral of research and development at Hitachi’s Lumada Data Science Lab, top data scientists are developing artificial intelligence solutions to help solve society's challenges
The Technical University of Munich (TUM) is ahead of the game when it comes to AI and robotics. And that includes the societal side as much as the technological.
On a mission to mine its wealth of data for clinical insights, the Tokyo Medical and Dental University has established itself as Japan’s new hub for AI-driven clinical data science.