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Mouhammad Fakhoury
Works at Business Empower
Attended Syracuse University
Lived in Seattle, WA
329 followers|202,403 views
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Mouhammad Fakhoury

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Along the beachfront in Dubai (also live photo-editing on Google Hangouts tomorrow!)

Don't forget about the live event tomorrow at http://goo.gl/8WhGw9 — I'll pick a few photos from Dubai and edit them live.  It'll be fun! Time/Date:  In the US, Sunday at 4 PM PT, 6 PM CST, 7 PM ET

As for this photo, our PhotoWalk took a surprise turn and we exited the Marina to Frogger across the street down to the beach.  Upon entry, we saw these awesome camels, cameling it up in the sand!
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Mouhammad Fakhoury

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A life is like a garden. Perfect moments can be had, but not preserved, except in memory. LLAP @TheRealNimoy

This was Leonard Nimoy's last public tweet from February 22, 2015.

We at the Star Trek Community, invite you to honor him by sharing your favorite memories of an amazing human being and one of Star Trek's most beloved characters.
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Deep learning reading list, compiled by J Mohamed Zahoor. Free online books, courses, videos, papers, tutorials, websites, datasets and frameworks.
My learnings on Deep Learning
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Stanford alumnus Eric Horvitz, former president of the Association for the Advancement of Artificial Intelligence, with Russ Altman, a professor of bioengineering and computer science at Stanford, is convening a 100-year effort to study and anticipate how the effects of artificial intelligence on every aspect of human life.

http://www.kurzweilai.net/stanford-to-host-100-year-study-on-artificial-intelligence?utm_source=KurzweilAI+Weekly+Newsletter&utm_campaign=239cd30fe6-UA-946742-1&utm_medium=email&utm_term=0_147a5a48c1-239cd30fe6-281972889
Stanford University has invited leading thinkers from several institutions to begin a 100-year effort to study and anticipate how the effects of artificial
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Now's your chance to join the #CERN60 computing challenge, which aims to reach an unprecedented level of simulations of particle collisions in CERN’s LHC.

This challenge, launched this week by researchers at the Citizen Cyberlab project and the Citizen Cyberscience Centre, tests a new approach to browser-based public computing using virtual machines, read more: http://cern.ch/go/X7Jr

To join the challenge visit: http://cern.ch/go/KRR7
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Google has developed a face recognition system that outputs a 128-number list of numbers, and any two faces can be compared by treating those 128 numbers as a point in 128-dimensional space and calculating the Euclidian distance between them -- the closer to 0 the result, the more similar the faces. A threshold of about 1.1 gets the system to identify the same person in most photos independent of pose or lighting. The system can also be used for finding different people but who look similar. "Have a thing for Brad Pitt circa 1998? Here are the 500 profiles that look the most like him."

The 128 numbers are the output of a 22-level deep convolutional neural network where every level has a different function. "FaceNet achieved nearly 100-percent accuracy on a popular facial-recognition dataset called Labeled Faces in the Wild, which includes more than 13,000 pictures of faces from across the web. Trained on a massive 260-million-image dataset, FaceNet performed with better than 86 percent accuracy."
New advances in facial recognition are a step forward for an artificial intelligence technique called deep learning.
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There's been a lot of hype about AI.  Here's what I think the state of AI really is, including some thoughts on future research directions.  https://medium.com/backchannel/google-brains-co-inventor-tells-why-hes-building-chinese-neural-networks-662d03a8b548  "Our software is becoming more intelligent, but that does not imply it is about to become sentient."
Andrew Ng wants a truly intelligent Chinese language machine, and with Baidu he’s got the resources to build it
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Today at its Windows 10 event, Microsoft riffed about holograms for a lengthy period. It then announced that it had build a holographic headset that appears..
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Ancient palindrome!  An ancient, two-sided amulet uncovered in Cyprus contains a 59-letter inscription that reads the same backward as it does forward.

http://news.discovery.com/history/archaeology/ancient-amulet-discovered-with-palindrome-inscription-150105.htm
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Speech recognition as good as (or better) than human is rumored to have been invented at Google based on deep learning neural network technology.
Chatting with a digital assistant is about as much fun as trying to reason with a stubborn child. If you've ever found yourself yelling at your Xbox or swearing at Siri, you may have already lost hope.
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Our Deep Speech system for speech recognition attains 16.5% error on Switchboard (Hub5'00), outperforming previous published results.  We also focus on realistic noisy environments (speech in a noisy crowd, car, etc.)  In this regime Deep Speech significantly outperforms commercial systems. Key to this approach were (i) Our scalable multi-GPU infrastructure for training an RNN, (ii) Using 7,000 hours of clean speech data, and using that to synthesize a massive 100,000 hours of data (by adding the clean data to different types of noise) to train the models.  I think end-to-end deep learning is the future of speech.  Paper here:  http://arxiv.org/abs/1412.5567
Abstract: We present a state-of-the-art speech recognition system developed using end-to-end deep learning. Our architecture is significantly simpler than traditional speech systems, which rely on laboriously engineered processing pipelines; these traditional systems also tend to perform poorly ...
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Have him in circles
329 people
singgih juniardi's profile photo
Shiba Meher's profile photo
matka visnovska's profile photo
bagus surya's profile photo
Abraham Fakhoury's profile photo
SARAL BOSPHORUS's profile photo
CLAUDIA ESTRADA's profile photo
Edwin Bun's profile photo
Nebir Mahmud's profile photo
Work
Occupation
Computer Science
Employment
  • Business Empower
    CEO, 2008 - present
  • Microsoft Corporation
    Principle Software Engineer, 1997 - 2008
  • Adobe Systems
    Computer Scientist, 1992 - 1997
  • Aldus Corporation
    Principle Architect, 1990 - 1992
  • Silicon Beach Software
    Software Developer, 1990 - 1992
Places
Map of the places this user has livedMap of the places this user has livedMap of the places this user has lived
Previously
Seattle, WA - San Diego, CA - Scarsdale, NY - Syracuse, NY - Bellevue, WA - Beirut
Story
Bragging rights
Here are some of the cool products I helped develop: Aldus Intellidraw (precursor to Flash with Jonathan Gay and Robert Tatsumi), Aldus PageMaker, Adobe Indesign, Microsoft PictureIt, Microsoft Greetings Workshop,Digital Imaging Suite, MSN, Windows Server, Windows, Windows Live
Education
  • Syracuse University
    Electrical and Computer Engineering, 1979 - 1987
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Gender
Male