Lifeboat Foundation

Using machine-learning and an integrated photonic chip, researchers from INRS (Canada) and the University of Sussex (UK) can now customize the properties of broadband light sources. Also called “supercontinuum”, these sources are at the core of new imaging technologies and the approach proposed by the researchers will bring further insight into fundamental aspects of light-matter interactions and ultrafast nonlinear optics. The work is published in the journal Nature Communications on November 20, 2018.

A team of researchers from the Earthquake Research Institute, Department of Civil Engineering and Information Technology Center at the University of Tokyo, and the RIKEN Center for Computational Science and RIKEN Center for Advanced Intelligence Project in Japan were finalists for the coveted Gordon Bell Prize for outstanding achievements in high-performance computing. Tsuyoshi Ichimura together with Kohei Fujita, Takuma Yamaguchi, Kengo Nakajima, Muneo Hori and Lalith Maddegedara were praised for their simulation of earthquake physics in complex urban environments.

Soon enough, agriculture might need a lot more bots.

By matt simon and melanie ruiz

Jan Scheuermann was one of the first volunteers on DARPA’s Revolutionizing Prosthetics program and became a pioneer in the field of brain-machine interface, controlling first an advanced robotic arm, and then a simulated jet, with her mind alone. The New Yorker tells her story in exquisite detail, along with the story of Nathan Copeland, the volunteer who followed Jan in the research and put his own spin on how it unfolded.

A neuroscientist’s research into the mysteries of motion helps a paralyzed woman escape her body.

A team of Italian researchers successfully ran a perceptron algorithm on a real, working quantum computer using IBM’s cloud-access Q Experience system.

What’s one way to prevent a traffic jam? Self-driving cars may have an answer:

Artificial intelligence–powered cars can put the brakes on stop-and-go traffic.

Control this humanoid robot in VR.

Robots help extend VR into the real-world.

Misalignment between our goals and the machine’s

Part of what humans value in AI-powered machines is their efficiency and effectiveness. But, if we aren’t clear with the goals we set for AI machines, it could be dangerous if a machine isn’t armed with the same goals we have. For example, a command to “Get me to the airport as quickly as possible” might have dire consequences. Without specifying that the rules of the road must be respected because we value human life, a machine could quite effectively accomplish its goal of getting you to the airport as quickly as possible and do literally what you asked, but leave behind a trail of accidents.

Discrimination.

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