11 artificial intelligence 4 of AI 3 the most 3 the guardian 3 on the 3 of a 3 intelligence AI 3 hub for 3 a human 2 young scientist-entrepreneurs 2 US tech 2 two big 2 to the 2 to spend 2 to London 2 to home 2 this is 2 The Observer 2 the global 2 the company 2 the capital 2 that while 2 tech companies 2 supporter subscribe 2 startups based 2 sign in 2 portrayals of 2 One reason 2 one of 2 on artificial 2 of the 2 of artificial 2 Observer Artificial 2 more than 2 money to 2 London Following 2 its brains 2 is that 2 is emerging 2 International edition 2 intelligence is 2 intelligence brings 2 in academia 2 Guardian Back 2 for young 2 Following two 2 find a 2 Ex Machina 2 emerging as 2 edition The 2 edition International 2 companies of 2 capital is 2 by US 2 brings its 2 brains and 2 big acquisitions 2 become a 2 based in 2 Back to 2 at Imperial 2 a supporter 2 as a 2 and money 2 a job 2 AI The 2 AI startups 2 a hub 2 acquisitions by 2 academia the 1 young programmer 1 written and 1 writing style 1 worst fears 1 work of 1 Word Flow 1 word a 1 with University 1 With time 1 with them 1 with its 1 with google 1 will type 1 willing to 1 will have 1 will allow 1 who picks 1 whom the 1 who came 1 while we 1 while early 1 which was 1 which manoeuvres 1 When Google 1 we should 1 wealth of 1 water will 1 was reportedly 1 was prepared 1 was founded 1 was as 1 was a 1 want to 1 wanted to 1 wake of 1 Vikander in 1 Valley stalwarts 1 uses high-quality 1 user will 1 used by 1 up with 1 up others 1 up one 1 University College 1 UK into 1 type next 1 turned down 1 transforming the 1 to suggest 1 to researchers 1 to reality 1 to pick 1 top dollar 1 to pay 1 tool to 1 to master 1 to main 1 to learn 1 to integrate 1 to help 1 to have 1 to evade 1 to escape 1 to enslave 1 to assist 1 to assess 1 time though 1 though experience 1 thinking hard 1 think and 1 they want 1 they if 1 they do 1 they d 1 They are 1 the word 1 the wealth 1 the wake 1 the UK 1 the speed 1 the sort 1 the privilege 1 The point 1 the people 1 then chief 1 the moral 1 them DEEPMIND 1 The keyboard 1 their writing 1 the Google 1 The firm 1 The film 1 the feeling 1 the efforts 1 the door 1 the deal 1 the clutches 1 THE BIG 1 the abilities 1 the 2015 1 that they 1 that the 1 that technology 1 that elicits 1 than just 1 than 100 1 text based 1 technology with 1 technology that 1 technology DeepMind 1 teaching computers 1 teaching a 1 talent pool 1 talent in 1 talented brains 1 systems can 1 system built 1 s worst 1 SwiftKey that 1 SwiftKey is 1 supports more 1 Suleyman They 1 suggest the 1 subscribe search 1 Subscribe Find 1 style The 1 STUDIES One 1 still relatively 1 still decades 1 s then 1 Stephen Hawking 1 s technology 1 startup DeepMind 1 stalwarts ready 1 spent 400m 1 spend so 1 spend big 1 speed a 1 special tool 1 sort of 1 so only 1 so much 1 sometimes slow 1 slowly transforming 1 slow and 1 Skip to 1 skills at 1 sizes But 1 Silicon Valley 1 Show More 1 should be 1 s hard 1 shapes and 1 Shane Legg 1 Shanahan professor 1 sections close 1 Search Show 1 search find 1 SCREEN According 1 scientist-entrepreneurs Rob 1 scientist-entrepreneurs Alicia 1 scientist 1 scene The 1 Sat 5 1 Sat 2 1 s artificial 1 said to 1 robotics at 1 Rob Davies 1 ringing endorsement 1 research Photograph 1 researchers at 1 reportedly overseen 1 relentless gang 1 relatively limited 1 reinforcement learning 1 reason for 1 reason corporate 1 reality One 1 realistic cinema 1 ready to 1 ramifications of 1 proved a 1 promising AI 1 projects slowly 1 programmer to 1 professor of 1 prodigy and 1 privilege SwiftKey 1 prepared to 1 predictive text 1 pool is 1 point of 1 pick up 1 picks up 1 Photograph Film4/Sportsphoto 1 personally by 1 people who 1 pay top 1 particularly good 1 Page For 1 Pac-Man is 1 own Word 1 overseen personally 1 others of 1 or teaching 1 or eliminate 1 open CASE 1 on Sat 1 on machine-learning 1 only falteringly 1 one bottle 1 on DeepMind 1 of water 1 of teaching 1 of talent 1 of how 1 of he 1 offer from 1 of dozens 1 of different 1 of DeepMind 1 of cognitive 1 of animated 1 of abilities 1 next having 1 neuroscientist Demis 1 need to 1 Mustafa Suleyman 1 Murray Shanahan 1 much money 1 much about 1 most talented 1 most realistic 1 most promising 1 most importantly 1 more from 1 More Close 1 moral and 1 money on 1 modified on 1 Microsoft wanted 1 measure The 1 master Pac-Man 1 Mar 16 1 manoeuvres will 1 main content 1 machine-learning startup 1 Machina written 1 Machina portrayals 1 Ltd/Allstar Artificial 1 London s 1 London has 1 London colleague 1 limited London 1 like a 1 Legg and 1 lectures AI 1 learn they 1 learn skills 1 learn like 1 learning or 1 Last modified 1 Larry Page 1 languages and 1 laborious work 1 keyboard supports 1 keyboard it 1 keyboard app 1 just one 1 just an 1 Jobs Sign 1 job Jobs 1 job dating 1 it was 1 it uses 1 it to 1 it think 1 its own 1 its hands 1 it s 1 it decide 1 is to 1 is the 1 is still 1 is open 1 is more 1 is just 1 is about 1 inventions and 1 into the 1 in the 1 intelligence to 1 intelligence systems 1 intelligence scene 1 intelligence as 1 integrate that 1 instance a 1 in Search 1 in London 1 in giving 1 in Ex 1 in equal 1 in become 1 in artificial 1 in 2010 1 importantly on 1 Imperial College 1 Imperial believes 1 if they 1 idea of 1 hunting ground 1 human who 1 humanoid AI 1 human Murray 1 humankind and 1 human can 1 how to 1 home browse 1 home Become 1 him in 1 high-quality predictive 1 he sometimes 1 helps it 1 help it 1 Hawking s 1 Hawking for 1 having analysed 1 have turned 1 have a 1 Hassabis with 1 has proved 1 has been 1 hard to 1 hard about 1 hands on 1 guardian change 1 ground for 1 Google the 1 Google spent 1 google sign 1 Google deal 1 good idea 1 good hunting 1 GMT Last 1 global talent 1 global hub 1 giving lectures 1 ghosts This 1 getting its 1 Garland The 1 gang of 1 from the 1 from Facebook 1 from developing 1 founded in 1 for whom 1 for this 1 for the 1 for Silicon 1 For instance 1 For Google 1 for a 1 Flow keyboard 1 firm was 1 film Ex 1 film charts 1 Film4/Sportsphoto Ltd/Allstar 1 feeling in 1 fears to 1 fear in 1 fascination and 1 falteringly For 1 Facebook before 1 experience helps 1 executive Larry 1 evade the 1 ethical ramifications 1 escape the 1 equal measure 1 enslave or 1 endorsement of 1 eliminate humankind 1 elicits fascination 1 efforts of 1 edition edition 1 eccentric scientist 1 early artificial 1 dozens of 1 down an 1 do so 1 door is 1 dollar for 1 d need 1 directed by 1 different shapes 1 developing the 1 Demis Hassabis 1 DEEPMIND When 1 DeepMind s 1 DeepMind it 1 DeepMind is 1 DeepMind and 1 decide which 1 decades away 1 Dec 17 1 deal which 1 deal was 1 Davies ByRobDavies 1 dating more 1 current edition 1 corporate behemoths 1 content current 1 computer to 1 computers to 1 computers are 1 company s 1 company built 1 College one 1 College London 1 colleague Shane 1 cognitive robotics 1 clutches of 1 Close with 1 close Artificial 1 cinema portrayals 1 chief executive 1 chess prodigy 1 charts the 1 change edition 1 CASE STUDIES 1 can Microsoft 1 can learn 1 came up 1 by the 1 ByRobDavies Sat 1 by chess 1 by astrophysicist 1 by an 1 by Alex 1 But it 1 built by 1 built a 1 browse all 1 bringing Hawking 1 brains in 1 bottle of 1 BIG SCREEN 1 big on 1 be thinking 1 believes that 1 behemoths are 1 before agreeing 1 been used 1 based on 1 a young 1 away from 1 a user 1 at the 1 a technology 1 astrophysicist Stephen 1 assist him 1 assess the 1 a special 1 as much 1 as getting 1 a ringing 1 are willing 1 are still 1 are said 1 a relentless 1 app and 1 a particularly 1 an offer 1 animated ghosts 1 an eccentric 1 and was 1 and SwiftKey 1 and sizes 1 and neuroscientist 1 and Mustafa 1 and most 1 and learn 1 and laborious 1 and has 1 and fear 1 and ethical 1 and directed 1 and bringing 1 analysed their 1 an alternative 1 alternative keyboard 1 all sections 1 allow it 1 Alicia Vikander 1 Alex Garland 1 AI system 1 AI research 1 AI projects 1 AI ON 1 AI inventions 1 AI computers 1 a humanoid 1 agreeing to 1 a good 1 acquiring the 1 a computer 1 According to 1 about the 1 about reinforcement 1 about acquiring 1 abilities they 1 abilities of 1 5 Mar 1 400m on 1 2 Dec 1 2015 film 1 2010 by 1 17 04 1 16 16 1 16 05 1 100 languages 1 05 GMT 1 04 With