Lifeboat Foundation

If it fulfills its promise, quantum machine learning could transform AI.

A whole new meaning to machine learning.

https://www.youtube.com/watch?v=tIVNjCpqCaY&feature=share

Brendan John Frey FRSC (born 29 August 1968) is a Canadian-born machine learning and genome biology researcher, known mainly for his work on factor graphs, the wake-sleep algorithm for deep learning, and using machine learning to model genome biology and understand genetic disorders. He founded Deep Genomics and is currently its CEO, and he is a Professor of Engineering and Medicine at the University of Toronto. He co-developed a new computational approach to identifying the genetic determinants of disease, was one of the first researchers to successfully train a deep neural network, and was a pioneer in the introduction of iterative message-passing algorithms.

Frey studied computer engineering and physics at the University of Calgary (BSc 1990) and the University of Manitoba (MSc 1993), and then studied neural networks and graphical models as a doctoral candidate at the University of Toronto under the supervision of Geoffrey Hinton (PhD 1997). He was an invited participant of the Machine Learning program at the Isaac Newton Institute for Mathematical Sciences in Cambridge, UK (1997) and was a Beckman Fellow at the University of Illinois at Urbana Champaign (1999).

Continue reading “Brendan Frey — Genome Reprogramming” »

Future robots won’t be limited to humanoid form (like Boston Robotics’ formidable backflipping Atlas). They’ll be invisibly embedded everywhere in common objects.

Such as a shoe that can intelligently support your gait, change stiffness as you’re running or walking, and adapt to different surfaces — or even help you do backflips.

Even as autonomous robots get better at doing things on their own, there will still be plenty of circumstances where humans might need to step in and take control. New software developed by Brown University computer scientists enables users to control robots remotely using virtual reality, which helps users to become immersed in a robot’s surroundings despite being miles away physically.

The software connects a robot’s arms and grippers as well as its onboard cameras and sensors to off-the-shelf virtual reality hardware via the internet. Using handheld controllers, users can control the position of the robot’s arms to perform intricate manipulation tasks just by moving their own arms. Users can step into the robot’s metal skin and get a first-person view of the environment, or can walk around the robot to survey the scene in the third person—whichever is easier for accomplishing the task at hand. The data transferred between the robot and the virtual reality unit is compact enough to be sent over the internet with minimal lag, making it possible for users to guide robots from great distances.

Continue reading “Software enables robots to be controlled in virtual reality” »

Forget hacking a computer. Some researchers want to hack the brain to create human superintelligence to compete with AI.

NASA enlists some machine learning help to boost the search for other worlds.

Dec. 14 (UPI) — NASA scientists have found a planetary system with as many planets as our own.

“Scientists have found for the first time eight planets in a distant planetary system,” Paul Hertz, astrophysics division director at NASA Headquarters, said during a teleconference on Thursday that was live-streamed on NASA TV.

Continue reading “Eight planets in Kepler-90 system found using machine learning” »

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