Month: September 2022

INTELLIGENT TRIAL AND ERROR in robots allows them to recover from damage very rapidly. An impressive video. http://www.kurzweilai.net/emulating-animals-these-robots-can-recover-from-damage-in-two-minutes View in LinkedIn

BIRD FLIGHT CRACKED. "Learning how to fly took nature millions of years of trial and error – but a winged robot has cracked it in only a few hours, using the same evolutionary principles." https://lnkd.in/dewfVH9 View in LinkedIn

BOT FLIGHT IN HOURS. "Krister Wolff and Peter Nordin of Chalmers University of Technology in Gothenburg, Sweden, built a winged robot and set about testing whether it could learn to fly by itself, without any pre-programmed data on what flapping is or how to do it." https://lnkd.in/dewfVH9 View in LinkedIn

BOT COMMON SENSE. "Researchers program robots to see if they can learn a very human trait: common sense....It should not rely on a human programmer once it is purchased. It must be trainable." https://lnkd.in/dPApY8e View in LinkedIn

DIGITAL INTUITION. "Intuition is a very human skill, or so we like to think. Or, more accurately, so we liked to think. In what could prove to be a landmark moment for artificial intelligence, scientists announce this week that they have created an intuitive computer." https://lnkd.in/dcrukYa View in LinkedIn

INTUITIVE COMPUTER. "The machine acts according to its programming, but it also chooses what to do on the basis of something — knowledge, experience or a combination of the two — that its programmers cannot predict or fully explain." http://www.nature.com/news/digital-intuition-1.19230 View in LinkedIn

BETTER INTUITION. "In the limited tests carried out so far, the computer has proved that it can make these intuitive decisions much more effectively than the most skilled humans can. The machines are not just on the rise, they have nudged ahead." http://www.nature.com/news/digital-intuition-1.19230 View in LinkedIn

ALPHAGO CHAMPION. "On this week's issue of Nature, computer scientists at Google DeepMind in London unveil the successor to Deep Blue. It is a program called AlphaGo, and in October 2015 it beat the human Go champion of Europe by five games to zero. To put that into context, in Deep Blue’s time, a human beginner with just a week’s practice could easily defeat the best Go computer programs." http://www.nature.com/news/digital-intuition-1.19230 View in LinkedIn

NEURAL NETWORK PROGRAMMING. "AlphaGo cannot explain how it chooses its moves, but its programmers are more open than Deep Blue’s in publishing how it is built. Previous Go computer programs explore moves at random, but the new technology relies on a suite of deep neural networks." http://www.nature.com/news/digital-intuition-1.19230 View in LinkedIn

ALPHAGO DESIGN. "These were trained to mimic the moves of the best human players, to reward wins and, using a probability distribution, to limit the outcomes for any board position to a single verdict: win or lose." http://www.nature.com/news/digital-intuition-1.19230 View in LinkedIn