Volume 182 Proceedings of Machine Learning for Healthcare http://
proceedings.mlr.press/v182/ Is now available on PMLR.
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Volume 182 Machine Learning for Healthcare Proceedings Published on PMLR
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Splunk Outperforms Datadog as Cloud Market Slows
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As cloud slows, Splunk is the safe choice over Datadog, says KeyBanc https://
thetechnologyletter.com/the-posts/as-c
loud-slows-splunk-is-the-safe-choice-over-datadog-says-keybanc
… // $SPLK $DDOG $AMZN $MSFT $GOOGL #observability #stocks #investing #technology #software #cloudcomputing #earningsseason -

MIT Open Courses: Free CS, AI and Algorithms Videos Online
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Free MIT videos & online materials from more than 2,400 courses, including intro classes in computer science, AI and algorithms. Browse our open CS courses here: https://
bit.ly/39jH8DV (v/
@MITOCW
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ChatGPT Search Risks: Why AI Hallucinations Matter
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My latest for @WIRED looks at why using ChatGPT for search may be a problem. Microsoft, Baidu, and Google are rushing to incorporate the tech but it is designed to make things up and cannot easily access new info. What could go wrong?
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Academic Review Quality Issues in AI Research
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Bonus tweet: not all reviews were quite as high quality. Here's one that's basically "LGTM" (
https://
openreview.net/forum?id=x4hmI
sWu7e¬eId=xoY58zHa3X
…). But it was positive, so I'm not complaining! 5/4 -
TMLR Review Process: 9 Weeks from Submission to Decision
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Finally, let me emphasize how good the @TmlrOrg review process was! ~9 weeks from submission to decision. The first review, one of the highest quality I've ever received (
https://
openreview.net/forum?id=x4hmI
sWu7e¬eId=duK2Zgaamy
…), was in ~24 hours from submission! 4/4 -

New faster attack method developed for AI security
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We make a modest step in this direction. We come up with a new attack that is much faster and more effective than previous methods. Still not as effective as I'd like though! I won't write a long thread here since I think we'll have more to say soon, stay tuned 3/n
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Why Neural Networks Resist Data Poisoning Attacks Better
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It's well known that NNs are very vulnerable to adversarial interventions, e.g., indiscernible test-time attacks. But indiscriminate data poisoning, wherein the attacker modifies a small fraction of the training data to reduce the test accuracy, seems to be much harder! Why? 2/n
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Neural Networks Poisoning Attacks Research Paper Accepted
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Paper accepted to @TmlrOrg
: "Indiscriminate Data Poisoning Attacks on Neural Networks," led by Yiwei Lu and co-advised with Yaoliang Yu. Neural networks are surprisingly hard to (indiscriminately) poison! We give better attacks. https://
openreview.net/forum?id=x4hmI
sWu7e
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AI Benefits Evolution: From Limited Use Cases to Practical Applications
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I think that in the past the real benefits of AI were small or not present at all. E.g. you could train a RL agent but what it is for if it can’t be entertaining for player? Anyway, now things are changing.