Vincent Boucher 🕊's Twitter Profile Analysis @ceobillionaire on Twitter

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Avec toutes leurs forces, leur sens de l'innovation et leur ingéniosité, les femmes ♀️ doivent être au cœur de la reprise. S'en assurer, c'est l'objectif du Sommet sur la réponse et la #Relanceféministe du Canada les 8 et 9 mars 2021. #JIF2021👉https://t.co/pDbFLS4Pc9 https://t.co/32nifuHCEd

CRYPTO AI ART On the creation of worlds' most valuable Crypto AI Art NFT Token, by https://t.co/VaMGbOjQ11 MASTER The purest one-of-a-kind archetype of an Art Movement A New Day Has Come: https://t.co/Uik8M27vOs Details TBA #CryptoAIArt #CryptoArt #MontrealAI #NFT https://t.co/HXw9LsANMm

Modelling SARS-CoV-2 coevolution with genetic algorithms "This artificial coevolution system may offer us a laboratory to ”debug” our current policy measures, identify the weaknesses of our current strategies, and anticipate the evolution of the virus" https://t.co/WadRyP1ftf https://t.co/1yb0k3fgvm

How to tell a deep network to never focus on gray boxes for classification? "#Neurosymbolic Explanatory Interactive Learning" accepted at #CVPR2021 🥳: Slot Attention + Set Transformers to unmask & debug non-trivial Clever Hans moments in Computer Vision. https://t.co/vgWkooQMQI https://t.co/U179vv4zTB

La #MissionCommercialeVirtuelle aidera les entreprises 🇨🇦 à aborder le marché 🇫🇷 et à mieux connaître ces secteurs : ➡️#mobilité durable ➡️#hydrogène ➡️biens responsables et #consommationdurable ➡️TI pour la #reprise verte Entreprises 🇨🇦, inscrivez-vous 👉https://t.co/N2EkIhPjrt https://t.co/iFCFuG9FCN

Generative Adversarial Transformers Drew A. Hudson, C. Lawrence Zitnick: https://t.co/XxueAtfgWp #ArtificialIntelligence #DeepLearning #GenerativeAdversarialNetworks https://t.co/ztWC0xwuyT

congrats @andreea7b for another HRI best paper nomination, this time for getting human input that is designed to focus explicitly on what the robot is still missing https://t.co/QmIxGkhqSH

Random Feature Attention Proposes RFA, a linear-complexity Transformer that random feature methods to approximate the softmax. Performs on par or better than vanilla attention on several standard LM benchmarks. https://t.co/cf0bXGaqSI https://t.co/m2g37iWRU9

Two NeurIPS'20 rejections are accepted to CVPR'21 as Orals, including the following work of unsupervised learning of steerable dimension in GANs (https://t.co/zBDapufav3). Should thank all NeurIPS adversary reviewers for making this a better work. Be more resilient and optimistic https://t.co/Bod52m4Mhc

Talking about the future of AI on Clubhouse tonight at 6 pm PT with @ilyasut @gdb and John Schulman: https://t.co/rNtdBEiZnE

This week I’ve been doing lots of health checkouts, getting ready to get to work. I’ve checked many tasks off my list, including instrument tests, imaging, and getting my arm moving. Warming up for a marathon of science. https://t.co/A0aqhWVo5T

Today's notes on "Persistent message passing" (https://t.co/WhVmMuqb8f) by Heiko Strathmann, @BarekatainAmin @BlundellCharles & @PetarV_93. Read to learn how to retain past per-node computations in an MPNN. https://t.co/9e7EOARbTF

GANsformer: 2 weeks later, the second methods on GANs with Transformers just went live: https://t.co/633UsBfzz8. Wow, their generated images look better than anything I was ever able to generate with existing GANs https://t.co/ktGULNAhN5

The truth is in the code.

L'AI sa come ottenere quello che vuole. Uno studio australiano ha dimostrato come l'intelligenza artificiale possa individuare le vulnerabilità nel comportamento degli esseri umani e sfruttarle per manipolare il loro processo decisionale. https://t.co/hNncZvNzDZ