Archive for the ‘robotics/AI’ category: Page 1723
Mar 28, 2019
20% of Industrial Control Systems Affected by Critical Vulnerabilities
Posted by Genevieve Klien in categories: robotics/AI, security
Image: Business Wire
Over half of the 415 vulnerabilities found in industrial control systems (ICS) were assigned CVSS v.3.0 base scores over 7 which are designated to security issues of high or critical risk levels, with 20% of vulnerable ICS devices being impacted by critical security issues.
As detailed in Kaspersky’s “Threat landscape or industrial automation systems H2 2018”, “The largest number of vulnerabilities affect industrial control systems that control manufacturing processes at various enterprises (115), in the energy sector (110), and water supply (63).”
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Mar 28, 2019
Neural networks stop autonomous cars spinning out
Posted by Genevieve Klien in categories: robotics/AI, transportation
Staying at the ‘limit of friction’ is key to marrying speed and safety. Nick Carne reports.
Mar 28, 2019
The War to Remotely Control Self-Driving Cars Heats Up
Posted by James Christian Smith in categories: robotics/AI, transportation
Livingston is sitting comfortably in his office in Portland, Oregon, when he appears on the screens inside the car and announces he’ll be our teleoperator this afternoon. A moment later, the MKZ pulls into traffic, responding not to the man in the driver’s seat, but to Livingston, who’s sitting in front of a bank of screens displaying feeds from the four cameras on the car’s roof, working the kind of steering wheel and pedals serious players use for games like Forza Motorsport. Livingston is a software engineer for Designated Driver, a new company that’s getting into teleoperations, the official name for remotely controlling self- driving vehicles.
Designated Driver is just the latest competitor to enter the market for the teleoperation tech that will make robo-cars work.
Mar 28, 2019
AI Performed Like a Human on a Gestalt Psychology Test
Posted by Quinn Sena in category: robotics/AI
Dr. Been Kim wants to rip open the black box of deep learning.
A senior researcher at Google Brain, Kim specializes in a sort of AI psychology. Like cognitive psychologists before her, she develops various ways to probe the alien minds of artificial neural networks (ANNs), digging into their gory details to better understand the models and their responses to inputs.
The more interpretable ANNs are, the reasoning goes, the easier it is to reveal potential flaws in their reasoning. And if we understand when or why our systems choke, we’ll know when not to use them—a foundation for building responsible AI.
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Mar 28, 2019
‘Godfathers of AI’ honored with Turing Award, the Nobel Prize of computing
Posted by Derick Lee in categories: biotech/medical, robotics/AI
Yoshua Bengio, Geoffrey Hinton, and Yann LeCun — sometimes called the ‘godfathers of AI’ — have been recognized with the $1 million annual prize for their work developing the AI subfield of deep learning. The techniques the trio developed in the 1990s and 2000s enabled huge breakthroughs in tasks like computer vision and speech recognition. Their work underpins the current proliferation of AI technologies, from self-driving cars to automated medical diagnoses.
Mar 27, 2019
Beyond Deep Learning: Investing in the Future of AI – Presented by Samsung NEXT #emtechdigital
Posted by Klaus Baldauf in categories: innovation, robotics/AI
Breakthroughs in deep learning are inspiring the evolution of AI. But will this “deep learning + X” model drive AI to its fullest potential? While problem solving with more data and deeper models has a place in AI’s evolution, not every problem can be solved by this model.
Mar 27, 2019
Now Google’s robotics lab focuses on machine learning
Posted by Genevieve Klien in category: robotics/AI
Mar 27, 2019
Turing Award Won by 3 Pioneers in Artificial Intelligence
Posted by Genevieve Klien in categories: government, robotics/AI
It was a way for machines to see the world around them, recognize sounds and even understand natural language. But scientists had spent more than 50 years working on the concept of neural networks, and machines couldn’t really do any of that.
Backed by the Canadian government, Dr. Hinton, a computer science professor at the University of Toronto, organized a new research community with several academics who also tackled the concept. They included Yann LeCun, a professor at New York University, and Yoshua Bengio at the University of Montreal.
On Wednesday, the Association for Computing Machinery, the world’s largest society of computing professionals, announced that Drs. Hinton, LeCun and Bengio had won this year’s Turing Award for their work on neural networks. The Turing Award, which was introduced in 1966, is often called the Nobel Prize of computing, and it includes a $1 million prize, which the three scientists will share.
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Mar 26, 2019
Mind-reading tech is here (and more useful than you think!)
Posted by Quinn Sena in category: robotics/AI
Reading brain waves was useless until A.I. got involved. Now mind reading has real-world, practical applications.