isis now behind us, let's return our attention to important isht - Deep Mind's very basic parameters

wikidpedia |  DeepMind Technologies's goal is to "solve intelligence",^[22] which they are trying to achieve by combining "the best techniques from machine learning and systems neuroscience to build powerful general-purposelearning algorithms". ^[22] They are trying to formalize intelligence^[23] 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.

— Demis Hassabis, Nature (journal), 23 February 2012^[24]

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^[25] 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[...]."^[26] Research describing an AI playing seven different Atari video games (Pong,Breakout, Space Invaders, Seaquest, Beamrider, Enduro, and Q*bert) reportedly led to their acquisition by Google.^[11]

Deep reinforcement learning[edit]

As opposed to other AI's, such as IBM's Deep Blue 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. Technically it uses deep learning on aconvolutional neural network, with a novel form of Q-learning, a form of model-free reinforcement learning.^[1][27] They test the system on video games, notably early arcade games, such as Space Invadersor Breakout.^[27][28] Without altering the code, the AI begins to understand how to play the game, and after some time plays, for a few games (most notably Breakout), a more efficient game than any human ever could.^[28] For most games though (Space Invaders, Ms Pacman, Q*Bert for example), DeepMind plays well below the current World Record. The application of DeepMind's AI to video games is currently for games made in the 1970s and 1980s, with work being done on more complex 3D games such as Doom, which first appeared in the early 1990s.^[28]