Lifeboat Foundation

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.

Continue reading “Japan has just invented Robo-bees that can legitimately pollinate the earth” »

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.

Continue reading “DeepMind’s latest AI transfers its learning to new tasks” »

AI will make better decisions by embracing uncertainty.

WHY THIS MATTERS IN BRIEF

There is nothing on Earth like the human brain, even today’s AI doesn’t come close, but now researchers have created an Artificial Synapse that’s 200 million times faster than a human synapse, and one day it will revolutionise AI and computing.

Continue reading “Supercomputer on a fingernail, artificial synapse ushers in new AI revolution” »

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

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.

Continue reading “Computers learn to learn” »

In Trump’s Pentagon-controlled presidency a dystopian vision of a military dominated by DARPA robots is quickly becoming a reality.

Dr Ian Pearson, a leading futurologist from Ipswich, claims that if people can survive until 2050 they could live forever thanks to advances in AI, android bodies and genetic engineering.

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.

Continue reading “Health and the crypto-economy. Health Blockchain” »