Archive for the ‘robotics/AI’ category: Page 1978
Jul 21, 2018
Creators of future AI must not be ideologues
Posted by Marco Monfils in categories: futurism, robotics/AI
https://www.youtube.com/watch?v=Di4p6MnN1Eo
This talk by Jordan Pederson suggests human level AGI is here within the year. And after we go expo.
Jordan Peterson’s Links:
Patreon: https://www.patreon.com/jordanbpeterson
Self Authoring: http://selfauthoring.com/
Jordan Peterson Website: http://jordanbpeterson.com/
Podcast: http://jordanbpeterson.com/jordan-b-p…
Reading List: http://jordanbpeterson.com/2017/03/gr…
Twitter: https://twitter.com/jordanbpeterson
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Jul 21, 2018
Robot chemist discovers new molecules and reactions
Posted by Dan Kummer in categories: chemistry, information science, robotics/AI
A glimpse at the coming AI researchers. (AI’s that do research).
A new type of artificial-intelligence-driven chemistry could revolutionise the way molecules are discovered, scientists claim.
In a new paper published today in the journal Nature, chemists from the University of Glasgow discuss how they have trained an artificially-intelligent organic chemical synthesis robot to automatically explore a very large number of chemical reactions.
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Jul 20, 2018
How U.S. Retail Giant Kroger Is Using AI And Robots To Prepare For The 4th Industrial Revolution
Posted by Genevieve Klien in categories: futurism, robotics/AI
Traditional grocery retailers are trying to develop omnichannel approaches to stay viable for the 4th industrial revolution. Kroger, one of America’s largest grocers, is making a significant commitment to creating the grocery experience of the future via today’s latest technology.
Jul 20, 2018
Most of AI’s Business Uses Will Be in Two Areas
Posted by Genevieve Klien in categories: business, robotics/AI
Jul 20, 2018
Team suggests a way to protect autonomous grids from potentially crippling GPS spoofing attacks
Posted by Bill Kemp in categories: biotech/medical, cybercrime/malcode, drones, engineering, internet, robotics/AI
Not long ago, getting a virus was about the worst thing computer users could expect in terms of system vulnerability. But in our current age of hyper-connectedness and the emerging Internet of Things, that’s no longer the case. With connectivity, a new principle has emerged, one of universal concern to those who work in the area of systems control, like João Hespanha, a professor in the departments of Electrical and Computer Engineering, and Mechanical Engineering at UC Santa Barbara. That law says, essentially, that the more complex and connected a system is, the more susceptible it is to disruptive cyber-attacks.
“It is about something much different than your regular computer virus,” Hespanha said. “It is more about cyber physical systems—systems in which computers are connected to physical elements. That could be robots, drones, smart appliances, or infrastructure systems such as those used to distribute energy and water.”
In a paper titled “Distributed Estimation of Power System Oscillation Modes under Attacks on GPS Clocks,” published this month in the journal IEEE Transactions on Instrumentation and Measurement, Hespanha and co-author Yongqiang Wang (a former UCSB postdoctoral research and now a faculty member at Clemson University) suggest a new method for protecting the increasingly complex and connected power grid from attack.
Jul 20, 2018
$800 Million Says a Self-Driving Car Looks Like This
Posted by Klaus Baldauf in categories: robotics/AI, transportation
Jul 20, 2018
Making Machine Learning Robust Against Adversarial Inputs
Posted by Roman Mednitzer in category: robotics/AI
Nicholas Papernot discusses “Making Machine Learning Robust Against Adversarial Inputs” (cacm.acm.org/magazines/2018/7/229030), a Contributed Article in the July 2018 CACM.
Jul 19, 2018
Researchers move closer to completely optical artificial neural network
Posted by Klaus Baldauf in categories: information science, robotics/AI, transportation
Researchers have shown that it is possible to train artificial neural networks directly on an optical chip. The significant breakthrough demonstrates that an optical circuit can perform a critical function of an electronics-based artificial neural network and could lead to less expensive, faster and more energy efficient ways to perform complex tasks such as speech or image recognition.
“Using an optical chip to perform neural network computations more efficiently than is possible with digital computers could allow more complex problems to be solved,” said research team leader Shanhui Fan of Stanford University. “This would enhance the capability of artificial neural networks to perform tasks required for self-driving cars or to formulate an appropriate response to a spoken question, for example. It could also improve our lives in ways we can’t imagine now.”
An artificial neural network is a type of artificial intelligence that uses connected units to process information in a manner similar to the way the brain processes information. Using these networks to perform a complex task, for instance voice recognition, requires the critical step of training the algorithms to categorize inputs, such as different words.
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Jul 19, 2018
Don’t Squish the Jellyfish. Capture It With a Folding Robotic Claw
Posted by Genevieve Klien in categories: habitats, robotics/AI
A new invention could help marine scientists study sea creatures in their natural habitat more effectively without harming them in the process.