- DeepMind is using dreams in a parallel fashion, accelerating the rate at which an AI learns by focusing on the negative or challenging content of a situation within a game.
- A snapshot of the method published by the DeepMind researchers to enable AI “dreams”.
- You might ask why AI “dreams” are necessary given that robots can already dominate humans in most games such as Chess and Go.
- Google’s DeepMind AI gives robots the ability to dream
- One of the primary discoveries scientists made when seeking to understand the role of dreams from a neuroscientific perspective was that the content of dreams is primarily negative or threatening.
Thanks to Google’s DeepMind AI, Robots can now dream, significantly increasing the speed at which they can learn and ultimately …
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- In return, DeepMind gets access to records belonging to over 1.6 million patients who are registered with one of the Royal Free NHS Trust’s three London hospitals.
- It also points out that patient data is encrypted, and is used only by DeepMind, not the larger organization of Google.
- Smart machines are beginning to speak to us and act on their own.
- Machine learning will alert medics to early signs of illness, but some critics argue that too much data is being shared.
- The project will provide medics across a number of London hospitals with alerts about patients via an app called Streams .
Machine learning will alert medics to early signs of illness, but some critics argue that too much data is being shared.
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- Google, who developed DeepMind, recently bolstered their AI solution to make it learn new tricks faster.
- Artificial intelligence capable of teaching itself new things can be seen as a troublesome development.
- Google’s DeepMind AI Is Now Capable Of Self-Teaching New Things
- Increasing the performance of this AI solution is of the utmost importance, even though its track record speaks for itself.
- One of the primary selling points of artificial intelligence is how this technology can learn over time.
One of the primary selling points of artificial intelligence is how this technology can learn over time. Google, who developed DeepMind, recently bolstered their AI solution to make it learn new tricks faster. According to tests, DeepMind is now capable of learning close to 87% of expert human performance in games. This is an exciting development, although its real life use cases remain to be determined.
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- The Deep Learning Summit is the next revolution in artificial intelligence.
- At the 2016 Deep Learning Summit in London , Oriol presented ‘Generative Models 101’, exploring how they can be used to help in guiding our intuitions towards better architectures, for text, images and beyond.
- The next Deep Learning Summit takes place in San Francisco on 26-27 January !
- Not a week goes by without news of interesting projects and developments in deep learning by Google’s DeepMind.
- The increasingly popular branch of machine learning explores advances in methods such as image analysis, speech and pattern recognition, natural language processing, and neural network research.
Not a week goes by without news of interesting projects and developments in deep learning by Google’s DeepMind. View an interview with Oriol Vinyals, Senior Research Scientist at DeepMind, who is one of this year’s 35 Innovators Under 35, for his pioneering work in creating new techniques for language translation, and pushing the edge of science.
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- Blizzard and DeepMind have created an open test environment within the StarCraft II game for artificial intelligence researchers to use worldwide.
- Google’s DeepMind has announced that it will be making use of game development studio Blizzard’s StarCraft II game as a testing platform for artificial intelligence (AI) and machine-learning research, opening the environment worldwide.
- StarCraft II is closer to a real-world environment than any other game it has used for testing so far, DeepMind said, as it is played in real-time.
- “Games are the perfect environment in which to do this, allowing us to develop and test smarter, more flexible AI algorithms quickly and efficiently, and also providing instant feedback on how we’re doing through scores.”
Blizzard and DeepMind have created an open test environment within the StarCraft II game for artificial intelligence researchers to use worldwide.
Continue reading “Google’s DeepMind turns to StarCraft II after conquering Go”
- A computer enemy is learning how to win virtual wars
- The Starcraft games always shipped with programming that allowed human players to try their hand against automated rivals, but while that AI was toggled to a different difficulty setting, the game was generally the same each time.
- No, today Blizzard, the makers of Starcraft and its successors, are opening up the game to an AI that learns .
- Starcraft is a game that’s simple to pick up, but takes a tremendous amount of practice to master.
- The first game and its expansion defined a generation of videogames-as-sports, and the latest incarnations are still played at the highest level.
AI is going to learn how to war in video games.
Continue reading “Blizzard Opens Up Starcraft To Google’s DeepMind AI”