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  #11 (permalink)  
Gammel 1st June 2017, 02:13 PM
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Har du en kilde på den sidste graf?
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Gammel 1st June 2017, 08:52 PM
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Citer:
Oprindeligt indsendt af Panda Se indlæg
Har du en kilde på den sidste graf?
Den er fra MIT artiklen og baseret på forskernes vurderinger.

Citer:
Today, we have an answer of sorts thanks to the work of Katja Grace at the Future of Humanity Institute at the University of Oxford and a few pals. To find out, these guys asked the experts. They surveyed the world’s leading researchers in artificial intelligence by asking them when they think intelligent machines will better humans in a wide range of tasks. And many of the answers are something of a surprise.
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Gammel 30th June 2017, 11:58 AM
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Testfasen for varelevering i London

Autonomous Grocery Vans Are Making Deliveries in London: MIT Technology Review
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  #14 (permalink)  
Gammel 2nd August 2017, 05:01 PM
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Ro på. Vi har stadigvæk langt til machine learning der overgår mennesker i alt hvad et menneske kan. Ja vi har lavet machine learning der kan noget meget specifikt fx GO, Skak, ansigt genkendelse, stemmegenkendelse osv. Men der er stadigvæk meget langt til at lave machine learning der kan alt på en gang. Se denne artikel: https://www.nytimes.com/2017/07/29/o...t-forward.html
Vi er også langt fra at finde en matematisk model der er god til alt. fx er deep convolutional neural network rigtig god til billeder, men ikke særlig god til tids information (tale, video osv.) Her er Hidden markov model eller recurrent neural network det mest lovende lige nu. Om 5 år er det helt sikker noget andet. Ud over det er problemet også datamængden der skal til på at søg lidt på googles alfago og se hvor meget hardware og tid de har brugt på at træne deres netværk.
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Gammel 6th October 2017, 08:11 AM
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Her er artiklen som er omtalt i Technology Review.


When Will AI Exceed Human Performance? Evidence from AI Experts

Citer:
This paper reports the results from a large survey of machine learning researchers on their beliefs about progress in AI. The surveyed researchers predict AI will outperform humans in many domains in the next 40 years, such as translating languages (by 2024), driving a truck (by 2027), working in retail (by 2031), writing a bestselling book (by 2049), and working as a surgeon (by 2053). Researchers believe there is a 50% chance of AI outperforming humans in all tasks in 45 years and of automating all human jobs in 120 years.

Asian respondents anticipate these dates much sooner than North Americans. The results of this study will inform discussion on trends in AI development amongst researchers and policymakers.
Access the full paper



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Gammel 7th November 2017, 08:37 AM
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Et praktisk eksempel på hvor hurtigt mennesker kan erstattes med maskiner. Olieboring i USA

The Real Story of Automation Beginning with One Simple Chart

Citer:
Thanks to automated drilling, a once dangerous and very laborious task now requires fewer people to accomplish. Automation of oil rigs means that one rig can do more with fewer workers. In fact, it’s expected that what once took a crew of 20 will soon take a crew of 5. The application of new technologies to oil drilling means that of the 440,000 jobs lost in the global downturn, as many as 220,000 of those jobs may never come back.

Now look back at the chart again, and notice how quickly this all happened. It took TWO YEARS. How did it happen so fast?

Sidst redigeret af Vymer : 7th November 2017 kl. 08:39 AM.
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Gammel 9th December 2017, 06:40 AM
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Sidste nye indenfor læring og kunstig intelligens.

DeepMind’s AlphaZero crushes chess

Citer:
20 years after DeepBlue defeated Garry Kasparov in a match, chess players have awoken to a new revolution. The AlphaZero algorithm developed by Google and DeepMind took just four hours of playing against itself to synthesise the chess knowledge of one and a half millennium and reach a level where it not only surpassed humans but crushed the reigning World Computer Champion Stockfish 28 wins to 0 in a 100-game match. All the brilliant stratagems and refinements that human programmers used to build chess engines have been outdone, and like Go players we can only marvel at a wholly new approach to the game.
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Gammel 9th December 2017, 07:14 AM
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Et andet område, der er i vækst for tiden er software robotter og mange ledere ser dem som en god mulighed til at lave kedeligt gentaget arbejde. Det interessante er at en af mine kollegaer var til et foredrag om den type automatisering, hvor en af pointerne er at man skal beregne ca 300 timer til at programmere robotten ordentligt. Ud fra den betragtning vil jeg mene at der være rigtig meget monotont arbejde som det ikke vil give mening at automatisere. Så HK'eren/revisoren bliver nok ikke arbejdsløs lige med det samme :-)
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  #19 (permalink)  
Gammel 6th February 2018, 07:49 AM
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Dette er en niche, men på sigt vil det blive normen.

Suncor driverless trucks will kill 400 net jobs, says company: CBCnews

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About 400 jobs are expected to disappear at Suncor Energy Inc.'s oilsands mines in northern Alberta as it deploys driverless ore-hauling trucks to replace the ones humans operate now.

"We have about 500 roles that will get eliminated through this and we're going to add about 100. So the net change in our workforce is about 400 positions," chief operating officer Mark Little said in an interview Wednesday.
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