Montréal.IA's Twitter Profile Analysis @montreal_ia on Twitter

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This Is The 2020 Debate The AI World Has Been Waiting For AI DEBATE #2 - "Moving AI Forward: An Interdisciplinary Approach" December 23, 2020, RSVP: https://t.co/CTrwtpjQ95 https://t.co/8lOImIhY2W Debates Series #MontrealAI #AIDebate #AIDebate2 https://t.co/Avpjq5u39n

“L'intelligence artificielle au Québec : un réseau tricoté serré” Maxime Colleret et Yves Gingras : https://t.co/deo1X9CIit #intelligenceartificielle #iableue #quebecia https://t.co/tyUDd74JgF

https://t.co/VaMGbOjQ11 Consulting https://t.co/VaMGbOjQ11 : Impactful Artificial Intelligence. "We want to see tangible economic growth for Fortune 500, governments and interagency partners." Get in touch: https://t.co/UpN5S2YSZM #MontrealArtificialIntelligence #MontrealAI https://t.co/vJdpmT9dAX

Improved Denoising Diffusion Probabilistic Models Improves DDPM to achieve competitive NLL and image quality on par with SotA image models. code: https://t.co/ZuW9poSFnx abstract: https://t.co/T8QuWb0QHd https://t.co/c0LI76bewM

Australia wants to be a world leader too in space. So where is the https://t.co/9xNwtjcUiC SPACE? #AustraliaAISpace @SpaceAusDotCom @AusSpaceAgency https://t.co/wQjePT90t2

Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules Sanchez-Lengeling et al.: https://t.co/Svc4N7TcEM #DeepLearning #MachineLearning #ChemicalPhysics https://t.co/vC0uiVHdeN

@MelMitchell1 I like the work on learning invariant representations. Examples: Invariant risk minimization (https://t.co/zscgESpzsd), Domain-adversarial ML (https://t.co/Imrw4wAxkO). These have flaws, but point in interesting directions

"Colour is the place where our brain and the Universe meet.” - Paul Klee Our colourful #WeekInImages 👉 https://t.co/Zf2zbd2Yho https://t.co/3BBrDXkqiC

Great work by @ceobillionaire @Montreal_AI https://t.co/pDctNAVvq1

ARTIFICIAL INTELLIGENCE 101 AI 101 CheatSheet: https://t.co/80pxlXnEE1 #AI101 #ArtificialIntelligence101 #MontrealAI https://t.co/QZCCyHLIRB

Covariance Matrix Adaptation Evolution Strategy (CMA-ES: https://t.co/72wXXPJDDC), a derivative-free #optimization method, works by evolving a population of "particles"! Fun to implement and surprisingly robust 👍 #maths #lookMaNoDerivatives https://t.co/bMlxrD6l5O

https://t.co/VaMGbOjQ11 CHEF "De Novo (re-)Discovery of Food Pairing with Deep Reinforcement Learning, MCTS and OpenAI Gym" The alpha version of our https://t.co/VaMGbOjQ11 CHEF made those five recommendations for two ingredients food pairing. Which one is your favorite?

You can now Rick roll in 4K, thanks to machine learning. https://t.co/XvmN7NaBFz https://t.co/cDLaH9Mw2j

Don’t miss this stellar lineup of experts @NorbertoAndrad @maria_axente @EgarciaVirtual @luislamb @chluetge Maria conceicao Mota @Thi_Novelli as they discuss the #ethical Challenges for #AI Wednesday, 24 February, 14:00 CET Register for free https://t.co/0Wi1ap5A8j & join us! https://t.co/PxqyNvK8Yv

Google is now firing world-class AI researcher @mmitchell_ai for going through her own messages in the interest of pulling examples of discrimination. This is not a good look. https://t.co/2xGB7Mg9JG

Ingenuity, the Mars Helicopter I carry, is working as expected. I’m currently charging it, but once I set it down, it’ll rely solely on its solar panels. If it survives the brutally cold Martian nights, the team will attempt flight. https://t.co/8pksN06ZwP #CountdownToMars https://t.co/80kEoww0QU

The Google Ethical AI team is now purged of all its management. This was the group that previously acted as an internal brake on Google building unethical AI tools. It's now been gutted, in a very methodical fashion. https://t.co/BW5nHTnzbE