@AIFounded

Dedicated to building an AI that can encompass the world knowledge - creating an General Information Retrieval System

 Toronto, Ontario
aifounded.com
Joined January 2017
  • Tweets19
  • Following11
  • Followers22
4Media
Google paying Apple billions to remain default search on iOS, analyst says - MarketWatch dlvr.it/Pf3qLc
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"Thought is just a great vector of neural activity" - Geoffrey Hinton
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AIFOUNDED #SearchEngine #API DOCUMENTATION UPDATED! search.aifounded.com/documen…
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Google building their own search products @clarifai building visual search& @AIFounded building general search for everyone else @TechCrunch xitter.cf/mattzeiler/status/8906…
Matt Zeiler
@mattzeiler27 Jul 2017
"Pinterest, Google building their own visual search products & @clarifai building for everyone else" tcrn.ch/2tyKiiV @techcrunch
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Interview on #AI startup and Future of #DeepLearning - @Daniel_J_Im youtube.com/watch?v=xLgXhu-l…
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#SEARCH_ENGINE PLATFORM for #AI search.aifounded.com/
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“#NLP is kind of like a rabbit in the headlights of the #DeepLearning machine, waiting to be flattened.” - Neil Lawrence
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A MXNet implementation of AN EMPIRICAL ANALYSIS OF DEEP NETWORK LOSS SURFACES. github.com/nicklhy/cnn_loss_…
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Q:If you got a billion dollars to spend on a huge research project A:I’d use it to build a NASA-size program focusing on #NLP- M. Jordan
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Recent Evolution of QA Datasets and Going Forward by our Founder @Daniel_J_Im aifounded.com/aifounded/rece…
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No more beam search! Check Out Gumbel Greedy Decoding! xitter.cf/Daniel_J_Im/status/881…
Im Daniel Im
@Daniel_J_Im1 Jul 2017
Our new paper : Neural Machine Translation with Gumbel-Greedy Decoding - improving argmax over the seq. x P(x|model) arxiv.org/abs/1706.07518

Neural Machine Translation with Gumbel-Greedy Decoding

Previous neural machine translation models used some heuristic search algorithms (e.g., beam search) in order to avoid solving the maximum a posteriori problem over translation sentences at test...

arxiv.org
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"If Google, Fb or MS decide ... to enforce the patents they held, the entire ML software ecosystem could collapse in on itself." xitter.cf/rbhar90/status/8737330…
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Canada becoming new ai hub??? #ML #AI #Canada jfgagne.ai/blog/2017/4/24/ma…
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Graham Taylor of @_NextAI would like to see more support towards Canada's #AI ecosystem. RT if you agree #TheDisruptors
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Yoshua Bengio is a respected #AI pioneer + computer scientist. @bruce_croxon spoke w/ him about how CDA became an #AI leader #TheDisruptors
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NYC Jun 27: #CanadaAI armchair discussion w/ @JordanJacobs10, @Layer6AI/@VectorInst & @stevenkuyan, @NYUFutureLabs ow.ly/KUVC30br9oq
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Language used in your PPC copy can significantly increase the chance of people paying attention to it @sewatch bit.ly/2pwDKSo
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Another work from @Daniel_J_Im An Empirical Analysis of Deep Networks Loss Surfaces #AI #ML #DL arxiv.org/abs/1612.04010

An empirical analysis of the optimization of deep network loss surfaces

The success of deep neural networks hinges on our ability to accurately and efficiently optimize high-dimensional, non-convex functions. In this paper, we empirically investigate the loss...

arxiv.org
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Generative Adversarial Parallelization by one of our founders @Daniel_J_Im #AI #ML #DL #GAN arxiv.org/abs/1612.04021

Generative Adversarial Parallelization

Generative Adversarial Networks have become one of the most studied frameworks for unsupervised learning due to their intuitive formulation. They have also been shown to be capable of generating...

arxiv.org
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