Absolutely astonishing breaking news!
Google's AlphaGo program wins a competition against a human Go master, in what is seen as a landmark moment for artificial intelligence.
Google's AlphaGo program wins a competition against a human Go master, in what is seen as a landmark moment for artificial intelligence.
date | team | score | team | |
---|---|---|---|---|
Friday | Slumbot | 189 | -189 | Hyperborean |
Friday | Tartanian6 | 16 | -16 | Nyx |
Saturday | Hyperborean | 210 | -210 | Neo_poker_lab |
Sunday | Neo_poker_lab | -104 | 104 | Nyx |
Sunday | Slumbot | 190 | -190 | Tartanian6 |
Experts at the University of Oslo, Norway have discovered a new way for robots to design, evolve and manufacture themselves, without input from humans, using a form of artificial evolution called “Generative design,” and 3D printers – although admittedly the team, for now at least, still has to assemble the final product, robot, when it’s printed.
So just how will machine learning be able to help us solve some of the biggest problems in physics? Researchers are already re-purposing existing machine-learning algorithms to “learn” features of phases of matter, just as algorithms learn to recognize features in a photograph.
The application, also called DigitalGenius, draws from deep learning algorithms that enable it to ingest vast volumes of historical customer service data. This history is then integrated with customer service, consoles such as Salesforce Service Cloud or Zendesk.
The same type of artificial intelligence that mastered the ancient game of Go could help wrestle with the amazing complexity of quantum systems containing billions of particles.