Fathers of the Deep Learning Revolution Receive ACM A.M. Turing Award

ACM, the Association for Computing Machinery, named Yoshua Bengio, Geoffrey Hinton, and Yann LeCun recipients of the 2018 ACM A.M. Turing Award for conceptual and engineering breakthroughs that have made deep neural networks a critical component of computing.

Bengio is Professor at the University of Montreal and Scientific Director at Mila, Quebec’s Artificial Intelligence Institute; Hinton is VP and Engineering Fellow of Google, Chief Scientific Adviser of The Vector Institute, and University Professor Emeritus at the University of Toronto; and LeCun is Professor at New York University and VP and Chief AI Scientist, Facebook.

Working independently and together, Hinton, LeCun and Bengio developed conceptual foundations for the field, identified surprising phenomena through experiments, and contributed engineering advances that demonstrated the practical advantages of deep neural networks. In recent years, deep learning methods have been responsible for astonishing breakthroughs in computer vision, speech recognition, natural language processing, and robotics—among other applications.

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“Particle robot” works as a cluster of simple units

Researchers have developed computationally simple robots, called particles, that cluster and form a single “particle robot” that moves around, transports objects, and completes other tasks.

Image: Felice Frankel
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NVIDIA’s AI System “GauGAN” Turns Doodles into Stunning, Photorealistic Landscapes

A deep learning model developed by NVIDIA Research can turn rough doodles into photorealistic masterpieces with breathtaking ease. The tool leverages generative adversarial networks, or GANs, to convert segmentation maps into lifelike images.

The interactive app using the model is named as GauGAN.

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Augmented Reality Helps Disabled Persons to control Robot Assitant easily

Researchers from Georgia Institute of Technology have developed a web Interface that uses augmented reality technology could help individuals with profound motor impairments operate a humanoid robot to feed themselves and perform routine personal care tasks such as scratching an itch and applying skin lotion.

Image shows the view through the PR2’s cameras showing the environment around the robot. Clicking the yellow disc allows users the control the arm
Credit : Phillip Grice, Georgia Tech

The web-based interface displays a “robot’s eye view” of surroundings to help users interact with the world through the machine.

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Smoothing out the wrinkles in graphene

MIT researchers have found a simple solution to protect graphene from performance-impairing wrinkles and contaminants.

Graphene is an atom-thin material that holds promise for making next-generation electronics. Researchers are exploring possibilities for using the exotic material in circuits for flexible electronics and quantum computers, and in a variety of other devices.

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