From a more academic standpoint, it's been so satisfying interacting with all my students in person in earnest this year and watching them grow.
@thegautamkamath
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John Watrous Quantum Information Video Series IBM Education
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My colleague John Watrous has a very high production value series of videos on quantum information. He's actually on leave from the university right now as technical director of IBM quantum education, so he really cares about this stuff! https://
cs.uwaterloo.ca/~watrous/QIT-v
ideos/
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Citation Ethics in Scientific Research: Beyond Personal Grievances
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Of course, it's just a joke 🙂 However, I have been privy to some conversations where citing was begrudgingly: e.g., they never cite our work, why should we cite theirs, or the person did negative behaviour X, they don't deserve to be cited. But these shouldn't supersede science
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Citing Your Research Rival’s Prior Work Obligation
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When your research rival wrote a prior work that you're obligated to cite https://
clickhole.com/heartbreaking-
the-worst-person-you-know-just-made-a-gr-1825121606/
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Quantum advantage breakthrough achievement announced
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Sounds like a super cool quantum advantage result!
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Trustworthy ML Workshop at ICLR 2023: Statistical Computational Limitations
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A super cool and timely workshop to be co-hosted at #ICLR2023! When can statistical and computational limitations arise in the context of trustworth ML? Deadline is February 8, check out their unique two track system. https://
sites.google.com/view/trustml-u
nlimited/call-for-papers
… Look forward to being there! -
French Machine Learning Researchers: Numbers and Implications
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It's at odds with the number of French machine learning researchers…
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Major AI Conference Submission Deadlines January 2026
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Some venues that come to mind include COLT, ICML, FAccT, FORC, and EC. These are mostly late January deadlines though.
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Public Domain Data Availability for AI Model Training
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Sure. But is there a surplus of such data in the public domain? Not totally clear to me. Either way, it feels qualitatively different from ImageNet style settings.
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Public and Private AI Training: Different Accuracy Standards
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Also, my personal opinion is that both public pretraining (with certain constraints/limitations) as well as private training from scratch both have roles to play in the space. They of course can't be held to the same accuracy standard though.
