Google DeepMind Makes AI Training Platform Publicly Available

Google DeepMind Makes AI Training Platform Publicly Available

Foto: Shutterstock

Alphabet’s artificial intelligence division Google DeepMind is making the maze-like game platform it uses for many of its experiments available to other researchers and the general public, according to Bloomberg. DeepMind is putting the entire source code for its training environment, which it previously called Labyrinth and has now renamed as DeepMind Lab, on the open-source depository GitHub, the company said.

Anyone will be able to download the code and customize it to help train their own artificial intelligence systems. They will also be able to create new game levels for DeepMind Lab and upload these to GitHub. The decision to make this AI test bed available to the public is further evidence of DeepMind’s decision to embrace more openness around its research. Last month, the company announced a partnership with Activision Blizzard to turn the popular video game Starcraft II into a testbed for any artificial intelligence researcher who wanted to try to create an AI system that could master the complex game.

Putting its Lab code on GitHub will allow other researchers to see if its developer’s own breakthroughs can be replicated and will allow these scientists to measure the performance of their own AI agents on the exact same tests DeepMind uses, one of the company’s co-founders, Shane Legg, said in an interview. "They can try to beat our results if they want," he said.

OpenAI, a rival research shop set up by billionaire entrepreneur Elon Musk, venture capitalist Peter Thiel and Sam Altman, a founder of Silicon Valley startup accelerator Y Combinator, made its own AI training platform, called OpenAI Gym, available to the public in April.

Legg denied that DeepMind’s decision to open its Lab to the public was motivated by competition with OpenAI or past criticism that Google was too proprietary about its AI breakthroughs. “The machine learning research community has always been very open," he said. "We publish 100 research papers a year and we have open-sourced a bunch of our agents before."

DeepMind is best known for having created an AI agent that was able to beat the world’s top ranked human player in the ancient strategy game Go. The achievement is considered a major breakthrough in computer science because Go has so many possible moves it cannot be mastered through brute force calculation, so an AI system has to have something akin to human intuition to play the game successfully.

While AlphaGo, the DeepMind agent that mastered Go, was not trained on its Lab platform, the company has used its Lab environment for several of its cutting-edge efforts in which a system must master perception, memory, planning and navigation. These include a recent experiment in which the company’s researchers significantly reduced the time it takes train an AI agent to navigate through the game environment and score points by finding digital apples scattered through the maze.

More from category

Carlsberg City District Deploys the JMA Wireless TEKO DAS Solution

Carlsberg City District Deploys the JMA Wireless TEKO DAS Solution

23 Feb 2017 comment

JMA Wireless has developed mobile connectivity solution used in Carlsberg City District. This new sustainable city district, on the original site of the famous Carlsberg Brewery, is minutes from the center of Copenhagen and includes 101,000 m2 of space dedicated to housing, commercial offices, shops, restaurants, underground parking and the new Carlsberg Campus for UCC university college.

Imagimob Launches Real Time AI System at MWC

Imagimob Launches Real Time AI System at MWC

22 Feb 2017 comment

Swedish company Imagimob will launch SensorBeat Edge at MWC in Barcelona. It is a real time AI system for proffesional users. In manufacturing operations the system can use multiple data sources to more efficiently predict downtime. In healthcare both motion and biometric sensors can be analysed simultaneously.

Telesoftas Is Harnessing VR to Empower Public Health

Telesoftas Is Harnessing VR to Empower Public Health

22 Feb 2017 comment

TeleSoftas has just received EU funding to research and develop virtual reality applications which empower patients to overcome their life-limiting phobias. The solution will help treat mental health issues, including phobias, by exposing the patient to the particular anxiety in a safe virtual environment.