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Andrew Ng
Works at Stanford University
Attended University of California, Berkeley
Lived in Palo Alto, CA
15,146 followers|1,543,882 views
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Andrew Ng

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A lot of organizations think of employee training an an event.  "Need to learn topic X?  Lets hold a workshop and be done with it!"  But I believe that employee development can't be an event, it must be a process: We have to keep investing every single day, for year after year, in the development of our team members.  This post shares some thoughts on how at Baidu we make continuous investments to help team members learn Deep Learning, HPC, etc. http://usa.baidu.com/a-look-inside-learning-at-baidu/
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When did you go to Baidu?
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In 2006, Ashutosh Saxena​ achieved a breakthrough in using machine learning to get robots to pick up objects.  This technology is now appearing in an Amazon competition to get robots to accelerate how products get shipped to us.  I look forward to seeing who wins this competition in May!  http://www.technologyreview.com/news/536086/amazon-robot-contest-may-accelerate-warehouse-automation/
Robots will use the latest computer-vision and machine-learning algorithms to try to perform the work done by humans in vast fulfillment centers.
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Happy Pi day! Or is it Pie day? Baidu's blog post on speech recognition and Pi vs Pie!  http://usa.baidu.com/pi-day-or-pie-day/
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In December, we had announced a breakthrough in speech recognition through Deep Learning. http://bit.ly/deepspeech To celebrate that milestone, we commissioned an artist (Jason Pastrana) to draw a picture of the team. Here's what he drew!
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Love it
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Deep learning is all about scale---training huge networks on huge datasets.  By now most teams have bought in to the importance of GPUs.  But we're also now seeing a further shift from using "cloud computing" techniques to using "HPC" (High Performance Computing, aka supercomputing) techniques to build deep learning systems.  Adam Coates and Bryan Catanzaro had laid a lot of the ground work for this shift, and I'm proud that Baidu is leading this trend.  A Wired article gives a nice summary: http://www.wired.com/2015/02/hot-yet-little-known-trend-thatll-supercharge-ai/ 
When Andrew Ng trained Google’s army of computers to identify cat videos using artificial intelligence, he hit a few snags. Google’s worldwide network of data centers housed more computers than he needed for the job, but harnessing all that power wasn’t easy. When a server broke down—an everyday occurrence when you’re using 1,000 machines at…
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I am trying to parse what this article is attempting to say and I fail utterly.
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Machine Learning meetup tomorrow 2/18 at Baidu (Sunnyvale, CA), on Deep Speech. http://www.meetup.com/Silicon-Valley-Machine-Learning/events/220462279/  Come learn how Deep Learning is transforming speech recognition! 
Speech recognition is still an unsolved problem in AI. Humans transcribe speech substantially better than machines, particularly when the speech is noisy, accented or spoken in a natural, unaffected manner. Over the past half-century slow yet steady progress has been made in speech recognition punctuated with rare breakthroughs including the Hidden Markov Model in the 70s and, more recently, Deep Neural Networks.In fact, the past few years have w...
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Thanks for posting. Will follow the livestream.
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Andrew Ng

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My GPU Technology Conference talk has been posted online.  The talk includes several new ideas/results that I haven't talked about before, including a new demo of Deep Speech, new face recognition results (far better than human-level), and a simple slide showing how I think about developing ML systems. Even though it's a long, full-length talk, and even if you have heard me speak elsewhere on Deep Learning, I hope many of you will find this worth watching!  Go to: http://www.ustream.tv/recorded/60113824
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Andrew Ng vs Elon Musk

The battle of predicting wether AI will turn against their humans counterparts.

Your doing a great job. 
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At a NIPS 2008 workshop, Rajat Raina and I had presented our first CUDA (GPU) implementation of a deep learning algorithm, and started working to convince my peers to move to this new CUDA programming model for deep learning.  It wasn't easy convincing others back then.  That's why I'm really excited that the GPU Technology Conference (GTC) this year feels like it's all about Deep Learning!  I'll also be speaking at 11am Pacific time, and sharing some new deep learning results.  You can watch a livestream of the talk here: http://bit.ly/1xBTePu
Join us live for the keynotes at GTC 2015! March 17-21, 2015 | San Jose Convention Center
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+Frank Carey I know this paper. The interesting part was the +Andrew Ng claims that Facebook and Google trained a much larger dataset and Baidu invested more in the "Rocket Engine" to get to these results.
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 #AI
 
Enough thoughtful AI researchers (including Yoshua Bengio​, Yann LeCun) have criticized the hype about evil killer robots or "superintelligence," that I hope we can finally lay that argument to rest. This article summarizes why I don't currently spend my time working on preventing AI from turning evil.  http://fusion.net/story/54583/the-case-against-killer-robots-from-a-guy-actually-building-ai/
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One Congressman’s Crusade to Save the World From Killer Robots
 https://plus.google.com/+PaulMahofski/posts/28zifN1Lngr
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Carol​ and I were in NYC last weekend to attend Toy Fair!  This was our first Valentine's day as a married couple, so we decided spend it at a trade show. :) Some impressions: Toy Fair was huge, and felt CES-like in size.  The meeting was saturated with drones, drones, drones.  Lots of interest in AI, but so far AI is making its way very slowly into toys (Anki Drive is ahead of the pack).  Many toys are hits-based, so I was really impressed by Disney, which by creating stories and characters therefore has much more staying power. 
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Awww,how sweet! Beautiful couple - many Blessings.
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Amazing real-time map of the world's largest human migration, due to Chinese New Year. https://www.techinasia.com/heat-map-chinese-new-year-travel-2015/  Here's the interactive website: http://qianxi.baidu.com/
China’s top search engine is tracking Chinese New Year journeys and has created an amazing, real-time heat map showing the exodus from the major cities.
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祝你羊年喜氣 "羊羊", 新年快樂! 
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In his circles
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Have him in circles
15,146 people
Khin Maung Win's profile photo
Tarun Kumar's profile photo
orely close's profile photo
Raúl PeraltaLozada's profile photo
Long Nguyen's profile photo
Steve Wooding's profile photo
Jayedur Rahman's profile photo
Riccardo Cantoro's profile photo
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Education
  • University of California, Berkeley
    Computer Science, 1998 - 2002
  • Massachusetts Institute of Technology
    EECS, 1997 - 1998
  • Carnegie Mellon University
    Math/Computer Science + Economics + Statistics, 1993 - 1997
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Male
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Employment
  • Stanford University
    Associate Professor, present
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Previously
Palo Alto, CA - Berkeley, CA - Pittsburgh, PA - Cambridge, MA - Hong Kong - Singapore - London
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