Andrew Ng's new talk on "Bridging AI's Proof-of-Concept to Production Gap" shares key challenges facing AI deployments and possible solutions, covering small data, algorithms' generalizability & robustness, and change management. Computer Science

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• Andrew Ng's new talk on "Bridging AI's Proof-of-Concept to Production Gap" shares key challenges facing AI deployments and possible solutions, covering small data, algorithms' generalizability & robustness, and change management.
• I finally opened my years-old Pandora's Box of cybersecurity & programming resource bookmarks while in quarantine
• [R] Amazon’s BERT Optimal Subset: 7.9x Faster & 6.3x Smaller Than BERT
• How to communicate a deep interest in a broad range computer related topics without saying "I'm interested in computers"?
• Why your brain is not a computer

Andrew Ng's new talk on "Bridging AI's Proof-of-Concept to Production Gap" shares key challenges facing AI deployments and possible solutions, covering small data, algorithms' generalizability & robustness, and change management. Posted: 28 Oct 2020 06:44 PM PDT submitted by /u/othotr [link] [comments]

I finally opened my years-old Pandora's Box of cybersecurity & programming resource bookmarks while in quarantine Posted: 28 Oct 2020 07:30 AM PDT submitted by /u/Badc-Aptain [link] [comments]

[R] Amazon’s BERT Optimal Subset: 7.9x Faster & 6.3x Smaller Than BERT Posted: 28 Oct 2020 10:15 AM PDT In a new paper, a pair of Amazon Alexa researchers extract an optimal subset of architectural parameters for the BERT architecture by applying recent breakthroughs in algorithms for neural architecture search. The proposed optimal subset, "Bort," is just 5.5 percent the effective size of the original BERT-large architecture (not counting the embedding layer), and 16 percent of its net size. Here is a quick read: Amazon's BERT Optimal Subset: 7.9x Faster & 6.3x Smaller Than BERT The paper Optimal Subarchitecture Extraction For BERT is on arXiv, and the code is on GitHub. submitted by /u/Yuqing7 [link] [comments]

How to communicate a deep interest in a broad range computer related topics without saying "I'm interested in computers"? Posted: 28 Oct 2020 10:56 PM PDT There isn't really one aspect of computer science that is more interesting to me than all the rest; they are all very interesting to me. How can I communicate this in a way that would go over well in a job interview? Just saying "I'm very interested in computers", or "Yes, I like all of it" doesn't seem like a good way to say it. How can this be said better? submitted by /u/updice [link] [comments]

Why your brain is not a computer Posted: 28 Oct 2020 01:20 PM PDT submitted by /u/SnoozeDoggyDog [link] [comments]

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