Hyundai recently showcased that their latest autonomous SUV, Nexo, can deliver Level 4 autonomy. Its electric motor runs on hydrogen fuel.
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Category: robotics/AI – Page 2,287
In an example of life imitating art, scientists have come up with a technology straight out of an episode of Black Mirror: Bee-like pollinating drones.
A team at the National Institute of Advanced Industrial Science and Technology (AIST) in Japan engineered the devices using a combination of horsehair, $USD 100 drones and a sticky ion gel.
It’s pretty simple really – first, the drones fly into flowers much like a bee would. Inside the flower, pollen gets stuck to the drone due to the combination of the ion gel and horsehair. That same pollen is then shaken off into the next flower, and so on. It’s just your run of the mill birds and the robots bees.
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By using insights from one job to help it do another, a successful new artificial intelligence hints at a more versatile future for machine learning.
Backstory: Most algorithms can be trained in only one domain, and can’t use what’s been learned for one task to perform another, new one. A big hope for AI is to have systems take insights from one setting and apply them elsewhere—what’s called transfer learning.
What’s new: DeepMind built a new AI system called IMPALA that simultaneously performs multiple tasks—in this case, playing 57 Atari games—and attempts to share learning between them. It showed signs of transferring what was learned from one game to another.
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New algorithms show how very simple robots can be made to work together as a group.
- By Ben Rollins, Quanta Magazine on February 18, 2018
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Computers learn to learn
Posted in biological, robotics/AI
Intel and Researchers from Heidelberg and Dresden present three new neuromorphic chips.
Researchers from Heidelberg University and TU Dresden, together with Intel Corporation, will reveal three new neuromorphic chips during the NICE Workshop 2018 in the USA. These chips have an extraordinary ability: They are able to mimic important aspects of biological brains by being energy efficient, resilient and able to learn. These chips promise to have a major impact on the future of artificial intelligence. Computers are many times faster than humans in solving arithmetical problems, yet they have thus far been no match when it comes to the analytic ability of the brain. Up until now, computers have not been able to continually learn and can therefore not improve themselves. The two European chips were developed in close collaboration with neuroscientists as part of the Human Brain Project of the European Union. NICE 2018 will be held from 27 February until 1 March on the Intel Campus in Hillsboro/Oregon.
Dr Johannes Schlemmel from the Kirchhoff Institute for Physics at Heidelberg University will present prototypes of the new BrainScaleS chip. BrainScaleS has a mixed analogue and digital design and works 1,000 to 10,000 times faster than real time. The second generation neuromorphic BrainScaleS chip has freely programmable on-chip learning functions as well as an analogue hardware model of complex neurons with active dendritic trees, which – based on nerve cells – are especially valuable for reproducing the continual process of learning.
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AI and blockchain, the main innovations in #Longevity, are united in DAYS.exchange platform.
DAYS tokens are to be sort of guarrantee for longevity services effectiveness.
DAYS.exchange partner supported Longevity Impact Forum.
The first step to rhe most effective healthcare, based on blockchain consensus regarding health span technologies.
Thanks omar fogliadini, ondřej pilný, ben kraus, alex lightman, avi roy, liz parrish, george kyriakos sergei sevriugin edgar kampers kirill zhukov philippe van nedervelde anton dziatkovskii darr aita.
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