Archive for the ‘robotics/AI’ category: Page 1519
Dec 19, 2018
A Bug-Like Robot Uses Electricity to Walk Upside Down
Posted by Genevieve Klien in categories: biological, robotics/AI
A bug’s life doesn’t seem half bad, if you can overlook the super-short lifespan or the threat of getting eaten by lizards or swatted at by humans. Flying is nice, as is being able to walk on ceilings. The versatility is enviable, which is why roboticists are on a quest to imbue machines with the power of the bug.
But to harness the powers of nature, roboticists are resorting to very un-biological means. The latest insect-inspired robot tackles the problem of walking upside down using not glue, or a material that mimics the pad of a gecko’s foot as past bot builders have done, but electricity. Specifically, electroadhesion.
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Dec 19, 2018
Self-driving car drove me from California to New York, claims ex-Uber engineer
Posted by Shane Hinshaw in categories: robotics/AI, transportation
Dec 19, 2018
U.S. Grocer Kroger Has Begun Making Autonomous Deliveries
Posted by Shane Hinshaw in category: robotics/AI
Dec 19, 2018
An Interview With Daniel Muñoz-Espín
Posted by Nicola Bagalà in categories: biotech/medical, life extension, robotics/AI
During the Fourth Eurosymposium on Healthy Ageing (EHA), which was held in Brussels, Belgium last November, we had the opportunity to meet Dr. Daniel Muñoz-Espín from the Oncology Department of the University of Cambridge.
Dr. Muñoz-Espín received his PhD from the Autonomous University of Madrid, Spain, within the viral DNA replication group at the Centre of Molecular Biology Severo Ochoa, where he worked under the supervision of one of the most famous Spanish scientists, Dr. Margarita Salas. Dr. Muñoz-Espín’s postdoctoral research resulted in several published papers and a 2013 patent focused on DNA replication; he then joined the Centro Nacional de Investigaciones Oncológicas, or CNIO, the Spanish National Centre for Cancer Research, specifically the team of Dr. Manuel Serrano, co-author of The Hallmarks of Aging. The research that Dr. Muñoz-Espín conducted during this time demonstrated how cellular senescence doesn’t play a role just in aging and cancer but also in normal embryonic development, where it contributes to the shaping of our bodies—a process that was termed “developmentally-programmed senescence”, whose concept was very favorably received by the scientific community.
Currently, Dr. Muñoz-Espín serves as Principal Investigator of the Cancer Early Detection Programme at the Department of Oncology of Cambridge University; with his current team, Dr. Muñoz-Espín developed a novel method to target senescent cells, which was reported in EMBO Molecular Medicine. This topic was the subject of Dr. Muñoz-Espín’s talk at EHA2018 and one of the many fascinating others that he discussed in this interview.
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Dec 18, 2018
When Robots Walked the Earth and People Too
Posted by Richard Darienzo in category: robotics/AI
Dec 17, 2018
Amazon’s Homegrown Chips Threaten Silicon Valley Giant Intel
Posted by Derick Lee in categories: internet, robotics/AI
In recent years, Google has designed specialized chips for artificial intelligence technology. Facebook and Microsoft, which like most internet companies are major buyers of chips from Intel, have indicated that they are working on similar A.I. chips.
The retailer is now making its own server chips. It’s the latest sign that big internet outfits are willing to cut out longtime suppliers.
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Dec 16, 2018
Sophia Robot Creator: We’ll Achieve Singularity in Five to 10 years
Posted by Shailesh Prasad in categories: robotics/AI, singularity
By Kate Gill
A.I. robot Sophia is getting a software upgrade, one that will inch her ー and perhaps A.I. ー even closer to humanity. According to her creator, not only will Sophia earn her citizenship in Malta, she will reach a level of advancement equal to human beings in roughly five to 10 years.
“In the long run, I think the broader implications are pretty clear,” Dr. Ben Goertzel, the CEO of SingularityNET and chief scientist at Hanson Robotics, told Cheddar Friday.
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Dec 16, 2018
How DeepMind’s AlphaZero Mastered Complex Games With No Human Input
Posted by Shailesh Prasad in categories: entertainment, robotics/AI
As impressive as all these feats were, game-playing AI typically exploit the properties of a single game and often rely on hand-crafted knowledge coded into them by developers. But DeepMind’s latest creation, AlphaZero, detailed in a new paper in Science, was built from the bottom up to be game-agnostic.
All it was given was the rules of each game, and it then played itself thousands of times, effectively using trial and error to work out the best tactics for each game. It was then pitted against the most powerful specialized AI for each game, including its predecessor AlphaGo, beating them comprehensively.
“This work has, in effect, closed a multi-decade chapter in AI researchers need to look to a new generation of games to provide the next set of challenges, ”IBM computer scientist Murray Campbell, who has worked on chess-playing computers, wrote in an opinion for Science.
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