Blue Origin, the space company of Jeff Bezos, completed a record breaking launch of its New Shepard rocket on Thursday.
Lifting off from Blue Origin’s facility in West Texas, the mission was the first time the company launched and landed one of its rockets five times. Additionally, the rocket sent a company record 38 research and development experiments to the edge of space.
Posted in futurism
Eric Kilhstrom (Director of Aging Analytics Agency and former Interim Director of the £98 million Healthy Ageing Industrial Strategy Challenge Fund) is interviewed about the agency’s recent “Longevity Industry in Israel Landscape Overview 2019” report.
New report shows that Israel’s academic and business ecosystem is the optimal base for an internationally recognized longevity industry hub.
This paper published in Nature on 26th February 2015, describes a DeepRL system which combines Deep Neural Networks with Reinforcement Learning at scale for the first time, and is able to master a diverse range of Atari 2600 games to superhuman level with only the raw pixels and score as inputs.
For artificial agents to be considered truly intelligent they should excel at a wide variety of tasks that are considered challenging for humans. Until this point, it had only been possible to create individual algorithms capable of mastering a single specific domain. With our algorithm, we leveraged recent breakthroughs in training deep neural networks to show that a novel end-to-end reinforcement learning agent, termed a deep Q-network (DQN), was able to surpass the overall performance of a professional human reference player and all previous agents across a diverse range of 49 game scenarios.
The biggest rubik’s cube… ever, being solved by a computer.
Please watch the new updated video instead (unless you really enjoy YouTube’s AudioSwap music): https://www.youtube.com/watch?v=0cedyW6JdsQ
Enjoy!!!
*I FORGOT THE NAME OF THE PROGRAM, I HAD IT A LONG TIME AGO!
DeepMind’s Professor David Silver describes AlphaGo Zero, the latest evolution of AlphaGo, the first computer program to defeat a world champion at the ancient Chinese game of Go. Zero is even more powerful and is arguably the strongest Go player in history.
Previous versions of AlphaGo initially trained on thousands of human amateur and professional games to learn how to play Go. AlphaGo Zero skips this step and learns to play simply by playing games against itself, starting from completely random play. In doing so, it quickly surpassed human level of play and defeated the previously published champion-defeating version of AlphaGo by 100 games to 0.
If similar techniques can be applied to other structured problems, such as protein folding, reducing energy consumption or searching for revolutionary new materials, the resulting breakthroughs have the potential to positively impact society.
Find out more here: https://deepmind.com/blog/alphago-zero-learning-scratch
