User:Megab/DeepMindWIP
 | This is not a Wikipedia article: This is a workpage, a collection of material and work in progress that may or may not be incorporated into DeepMind Technologies. It should not necessarily be considered factual or authoritative. |
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| Type of business | Subsidiary |
|---|---|
| Founded | 2011 |
| Headquarters | London, England & Googleplex, Mountain View, California |
| Area served | Worldwide |
| Owner | |
| Founder(s) | Demis Hassabis, Mustafa Suleyman |
| CEO | Larry Page |
| Industry | artificial intelligence |
| Employees | 75 (estimated) [1] |
| URL | deepmind.com |
DeepMind Technologies is a British artificial intelligence (AI) company. It was acquired by Google in 2014.
The company's latest achievement is the creation of a neural network that learns how to play some video games in a similar way as humans. [2]
Company History[edit]
2011 to 2014[edit]
In 2011 the start-up was founded by UCL Alumni[3] Demis Hassabis and Shane Legg, who met at UCL's Gatsby Computational Neuroscience Unit[4]. they were then joined by Mustafa Suleyman.[5]
Since then major venture capitalist firms Horizons Ventures and Founders Fund have invested in the company[6], as well as entrepreneur Scott Banister[7]. Jaan Tallinn was an early investor and an advisor to the company.[8]
In 2014, DeepMind received the "Company of the Year" award by Cambridge Computer Laboratory.[9]
Acquisition by Google[edit]
On 26 January 2014, Google announced[10] that it had agreed to acquire DeepMind Technologies; analysts later announced that the company was purchased for £400 million ($650M USD / €486M), although later reports estimated the acquisition was valued at over £500 million.[11][12][13][14][15] The acquisition reportedly took place after Facebook ended negotiations with DeepMind Technologies in 2013, which resulted in no agreement or purchase of the company.[16] One of DeepMind's conditions for Google was that they establish an AI Ethics committee.[17]
Scientific work[edit]
DeepMind Technologie's goal is to "solve intelligence"[5], which they are trying to achieve by combining "the best techniques from machine learning and systems neuroscience to build powerful general-purpose learning algorithms". [5] They are trying to formalize intelligence[18] in order to not only implement it into machines, but also understand the human brain, as Demis Hassabis explains:
[...] Attempting to distil intelligence into an algorithmic construct may prove to be the best path to understanding some of the enduring mysteries of our minds.
Currently the company's focus is on publishing research on computer systems that are able to play games and developing these systems. Ranging from strategy games such as Go[20] to arcade games. According to Shane Legg human-level machine intelligence can be achieved "when a machine can learn to play a really wide range of games from perceptual stream input and output, and transfer understanding across games[...]."[21] Research describing an AI playing seven different Atari video games reportedly led to their acquisition by Google.[2]
Playing Atari with Deep Reinforcement Learning[edit]
As opposed to other AI's, such as IBM's Deepblue or Watson, which were developed for a pre-defined purpose and only function within its merit, DeepMind claims that their system is not pre-programmed: it learns from experience, using only raw pixels as data input.[22] They test the system on video games, notably early arcade games, such as Space Invaders or Breakout.[22][23] Without altering the code, the AI begins to understand how to play the game. And after some time plays a better game than any human ever could.[23] Applying their system on games throughout the history, the development of DeepMind's AI is currently in the 1990s; making its AI learn to play simple 3D games.[23]
References[edit]
- ^ "Forbes Report - Acquisition". Forbes. Retrieved 27 January 2014.
- ^ a b "The Last AI Breakthrough DeepMind Made Before Google Bought It". The Physics arXiv Blog. Retrieved 12 October 2014.
- ^ "Guest lecture speaker bios: Demis Hassabis and Shane Legg - DeepMind". Retrieved 12 October 2014.
- ^ "Demis Hassabis: 15 facts about the DeepMind Technologies founder". The Guardian. Retrieved 12 October 2014.
- ^ a b c "DeepMind Technologies Website". DeepMind Technologies. Retrieved 11 October 2014.
- ^ "DeepMind buy heralds rise of the machines". Financial Times. Retrieved 14 October 2014.
- ^ "DeepMind Technologies Investors". Retrieved 12 October 2014.
- ^ "Recode.net - DeepMind Technologies Acquisition". Retrieved 27 January 2014.
- ^ "Hall of Fame Awards: To celebrate the success of companies founded by Computer Laboratory graduates". Cambridge University. Retrieved 12 October 2014.
- ^ "Google to buy artificial intelligence company DeepMind". Reuters. 26 January 2014. Retrieved 12 October 2014.
- ^ "Google Acquires UK AI startup Deepmind". The Guardian. Retrieved 27 January 2014.
- ^ "Report of Acquisition, TechCrunch". TechCrunch. Retrieved 27 January 2014.
- ^ Oreskovic, Alexei. "Reuters Report". Reuters. Retrieved 27 January 2014.
- ^ "Google Acquires Artificial Intelligence Start-Up DeepMind". The Verge. Retrieved 27 January 2014.
- ^ "Google acquires AI pioneer DeepMind Technologies". Ars Technica. Retrieved 27 January 2014.
- ^ "Google beats Facebook for Acquisition of DeepMind Technologies". Retrieved 27 January 2014.
- ^ "Inside Google's Mysterious Ethics Board". Forbes. 3 February 2014. Retrieved 12 October 2014.
- ^ Shane Legg; Joel Veness (29 September 2011). "An Approximation of the Universal Intelligence Measure" (PDF). Retrieved 12 October 2014.
{{cite journal}}: Cite journal requires|journal=(help) - ^ Demis Hassabis (23 February 2012). "Model the brain's algorithms" (PDF). Nature. Retrieved 12 October 2014.
{{cite journal}}: Cite journal requires|journal=(help) - ^ Shih-Chieh Huang; Martin Müller (12 July 2014). "Investigating the Limits of Monte-Carlo Tree Search Methods in Computer Go". Springer.
{{cite journal}}: Cite journal requires|journal=(help) - ^ "Q&A with Shane Legg on risks from AI". 17 June 2011. Retrieved 12 October 2014.
- ^ a b Volodymyr Mnih; Koray Kavukcuoglu; David Silver; Alex Graves; Ioannis Antonoglou; Daan Wierstra; Martin Riedmiller (12 December 2013). "Playing Atari with Deep Reinforcement Learning" (PDF). Retrieved 12 October 2014.
{{cite journal}}: Cite journal requires|journal=(help) - ^ a b c Deepmind artificial intelligence @ FDOT14. 19 April 2014.
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[[Category:Companies established in 2011]] [[Category:2011 establishments in England]] [[Category:Artificial intelligence]] [[Category:Machine learning]] [[Category:Artificial intelligence laboratories]] [[Category:Game artificial intelligence]] [[Category:Entrepreneurship]] [[Category:Google acquisitions]]