Lifeboat Foundation

LIVERMORE, Calif. — As the demands on computers are rapidly changing to more data-centric tasks — such as image processing, voice recognition or autonomous driving functions — there quickly arises a need for greater computing efficiencies.

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.

Starting from zero knowledge and without human data, AlphaGo Zero was able to teach itself to play Go and to develop novel strategies that provide new insights into the oldest of games.

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.

Continue reading “AlphaGo Zero: Discovering new knowledge” »

2017 NIPS Keynote by DeepMind’s David Silver. Dr. David Silver leads the reinforcement learning research group at DeepMind and is lead researcher on AlphaGo. He graduated from Cambridge University in 1997 with the Addison-Wesley award.

Recorded: December 6th, 2017

O.o…

Two robotic parents can merge their code into an “offspring.”

With the possibility of millions or an infinite number of problems automating everything will cause all things to be solved digitally into a simple math problem. The problems could essentially be hacked by shores algorithm or maybe a theory of everything like m theory or Stephen Hawking’s theory of everything. Maybe it is just as simple as a basic formula like Einstein created E=mc². Also like some mathematicians have theorized maybe just one line of code that solves everything.

Automation is a game-changer for modern problem-solving – enabling not only visibility to real-time operations but the ability to effectively project the impact of potential solutions into the future. As problem-solvers become more comfortable using the new tools available to them, companies will be able to effectively isolate (and avoid) the impact of problems to their operations and focus their resources on solving the underlying issues and enabling long-term success. Learn More here.

Robotics specialist German Bionic is to present the first connected robot exoskeleton for use with the industrial internet of things, at the Hannover Messe industrial technology show.

The German Bionic IO cloud platform connects the third generation of the Cray X exoskeleton with all common enterprise solutions and networked manufacturing systems, enabling complete integration into “smart factory” and Industry 4.0 environments.

Besides cloud services such as wireless software updates – over the air – and predictive maintenance, German Bionic IO facilitates the continuous optimization of the intelligent control system through machine learning and lays the data-scientific foundation for the next development stages of bionics.

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Yara International, a crop nutrition company, and IBM, have signed an agreement to build the world’s leading digital farming platform, providing holistic digital services and instant agronomic advice.

Yara and IBM Services will jointly innovate and commercialize digital agricultural solutions that will help increase global food production by drawing on the two companies’ complementary capabilities.

Yara’s agronomic knowledge, backed by more than 800 agronomists and a century of experience, and IBM’s digital platforms, services, and expertise in artificial intelligence and data analytics.

Continue reading “Yara and IBM join forces to transform the future of farming” »