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IT Ѩ 2

, 15 2015 . 14:40 +
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? , , . . , deep learning (http://ailev.livejournal.com/1234198.html), , deep learning : , , . , . ;-) 

: , . , .

Ҹ , , , - , - (Enlitic benchmarked its performance against the publicly available, NIH-funded Lung Image Database Consortium data set, demonstrating its commitment to transparency. In detection of fractures, Enlitic achieved 0.97 AUC (the most common measure of predictive modeling accuracy), more than 3 times better than the 0.85 AUC achieved by leading radiologists and many times better than the 0.71 AUC achieved by traditional computer vision approaches. -- http://www.enlitic.com/press-release-10272015.html). IBM Watson, , Enlitic (http://www.enlitic.com/news.html). 

" ". , ( , ), , . -- , , : http://imaging.cancer.gov/programsandresources/informationsystems/lidc. , , -- (competitors, "" -- "" ) , -, -. , . : http://dswalter.github.io/blog/machine-learnings-first-cheating-scandal/.

, , . , . , , , , -- , . - 1991 , 2000 , . , , 2004 , , -, 1998 -- .

(Machine Intelligence, " ") --http://deeplearning.net/2015/12/01/conference-on-the-economics-of-machine-intelligence-dec-15/. This meeting is not a computer science conference. The focus is on the business opportunities that ML is spawning: what has already happened, trends, and how the future may unfold.

. , . , . , deep learning machine learning, , $1. 

, . deep learning, , - , . ? (http://techcrunch.com/2015/11/26/machine-intelligence-in-the-real-world/):
-- "" ( , -- Planet Labs, Premise and Diffbot)
-- "" ( , -- Tule Technologies, Enlitic, InVenture, Conservation Metrics, Red Bird, Mavrx and Watson Health)
-- "" ( -- Nervana Systems, Context Relevant, IBM Watson, Metamind, AlchemyAPI (acquired by IBM Watson), Skymind, Lucid.ai and Citrine).
-- "" ( , - , "" -- Clarifai, Gridspace, Orbital Insight, Descartes Labs, Deep Genomics and Atomwise).
-- " " ( , -- Textio, RelateIQ (acquired by Salesforce), InboxVudu, Sigopt and The Grid)
-- "" ( "" -, -- Blue River Technologies, Airware, Clearpath Robotics, Kiva Systems (acquired by Amazon), 3DR, Skycatch, Cruise Automation and the self-driving car groups at Google, Uber, Apple and Tesla).
-- "" (- -- Clara, x.ai, Facebook M, Digital Genius, Kasisto and Howdy).

2015 , , .

, , ( , , ): http://arxiv.org/abs/1512.02595v1.  , - . , ( ) , . , .

. , , 150 1000 -- http://arxiv.org/abs/1512.03385, , . Microsoft, .

Deep learning ( " " " ", - ), ( -- , , ? http://blog.kaggle.com/2015/12/03/dato-winners-interview-1st-place-mad-professors/), . NIPS 2015 4000 , , . 140 -- http://googleresearch.blogspot.ru/2015/12/nips-2015-and-machine-learning-research.html

http://opendatascience.ru/%D1%82%D1%80%D0%B5%D0%BD%D0%B4%D1%8B-deep-reinforcement-learning-nips-2015/, , , . , MXNet , -- http://arxiv.org/abs/1512.01274, , embedding of both symbolic expression and tensor operation is handled in a unified fashion. 

"" , , "" (http://www.nextplatform.com/2015/12/07/gpu-platforms-emerge-for-longer-deep-learning-reach/): 

, EIE chip -- http://www.nextplatform.com/2015/12/08/emergent-chip-vastly-accelerates-deep-neural-networks/, as the benchmarks show, the energy efficiency is better by between 3,000X on a GPU and 24,000X on CPU.

, deep learning. , ( :http://ailev.livejournal.com/1211950.html) , " " -- http://www.technologyreview.com/news/544376/this-ai-algorithm-learns-simple-tasks-as-fast-as-we-do/. Both humans and the software draw new characters after seeing one handwritten example, and then asking a group of people to judge whether a character was written by a person or a machine. They found that fewer than 25 percent of judges were able to tell the difference. 

? ( ), :
-- http://vk.com/deeplearning ( deep learning , 3. )
-- http://www.wikitract.com/ ( , - . , -- "").
-- https://www.semanticscholar.org/ -- ,

 


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095   , 16 2015 . 11:56 ()

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