Montréal.AI 🕊

Montréal.AI 🕊

@montrealdotai

Followers33.2K
Following35

❖ Montréal Artificial Intelligence ❖ https://t.co/iwv46Psx3m : Montreal #AIFirst Conglomerate. #MontrealArtificialIntelligence #MontrealAI ✉️ info@montreal.ai

Montréal, Québec
Joined on April 10, 2014
Statistics

We looked inside some of the tweets by @montrealdotai and here's what we found interesting.

Inside 100 Tweets

Time between tweets:
7 days
Average replies
3
Average retweets
46
Average likes
178
Tweets with photos
53 / 100
Tweets with videos
5 / 100
Tweets with links
0 / 100

Rankings (sorted by number of followers)

34. in country Brazil and category Sport Interest

736. in country Brazil and category Community

780. in category Sport Interest

MONTREAL ♡ AI #MontrealAI

Our paper on "Machine Learning in Network Centrality Measures: Tutorial and Outlook" is now at https://t.co/84sXtDcFGi https://t.co/2rmnlXrTfr #ArtificialIntelligence #MachineLearning #centralitymeasures

INTELLIGENCE ARTIFICIELLE 101

Premier survol de l'IA de classe mondiale pour tous

Rejoignez-nous et apprenez: https://t.co/hN3DIWUpLd

English version: https://t.co/etGmWsvmgu

#IA101webinaire #MontrealIA #QuebecIA https://t.co/A87SzrW21L

INTELLIGENCE ARTIFICIELLE 101 Premier survol de l'IA de classe mondiale pour tous Rejoignez-nous et apprenez: https://t.co/hN3DIWUpLd English version: https://t.co/etGmWsvmgu #IA101webinaire #MontrealIA #QuebecIA https://t.co/A87SzrW21L

REPORT ON THE AI DEBATE

'Yoshua Bengio and Gary Marcus on the Best Way Forward for AI"

Part 1 : Audience, Analysis and Early Impacts

Preliminary version, by https://t.co/VaMGbOjQ11 : https://t.co/UfKhNx0Jp7

#AIDebate #MontrealAI https://t.co/OfNNhydfIa

REPORT ON THE AI DEBATE 'Yoshua Bengio and Gary Marcus on the Best Way Forward for AI" Part 1 : Audience, Analysis and Early Impacts Preliminary version, by https://t.co/VaMGbOjQ11 : https://t.co/UfKhNx0Jp7 #AIDebate #MontrealAI https://t.co/OfNNhydfIa

AAAI 2021 Call for Papers is now out! https://t.co/mF1B99I7Lm Here are 8 highlights: (1) AAAI-21 will be a fully virtual conference. 1/6

Quoted @k_leyton_brown

(2) Two technical tracks (main track; AI for social impact); three focus areas in the main track (Neuro-Symbolic AI; AI Responses to the COVID-19 Pandemic; AI for Conference Organization and Delivery). (3) Two pages for references; optional ethics statement on these pages. 2/6

There will be a Neuro-symbolic AI track at the @RealAAAI #AAAI2021 Conference. @AvilaGarcez @GaryMarcus @jeublanc @Melleo54Sis @pascalhitzler @kerstingAIML @vardi @marceloprates_ https://t.co/9GSY2WxyQj

Great to see focus on neural-symbolic AI @RealAAAI in 2021. Also in 2021, consider attending and submitting your papers to the specialist conference on neural-symbolic AI: https://t.co/E2EyrSAIVb https://t.co/E3BxabAiL6

Deep Reinforcement Learning with OpenAI Gym 101

AI Agents Learning from Experience, for All.

WEBINAR: https://t.co/rxWsohHnfx

#DeepLearning #ReinforcementLearning #OpenAIGym https://t.co/B22C0NpjQl

Deep Reinforcement Learning with OpenAI Gym 101 AI Agents Learning from Experience, for All. WEBINAR: https://t.co/rxWsohHnfx #DeepLearning #ReinforcementLearning #OpenAIGym https://t.co/B22C0NpjQl

Quoted @Hidenori8Tanaka

Q. Can we find winning lottery tickets, or sparse trainable deep networks at initialization without ever looking at data? A. Yes, by conserving "Synaptic Flow" via our new SynFlow algorithm. co-led with Daniel Kunin & @dyamins, @SuryaGanguli paper: https://t.co/642Clw00me 1/ https://t.co/Uvzy5jSiB7

A new algorithm, SynFlow, for finding winning lottery tickets in deep neural networks without even looking at the data! Yields a highly sparse trainable init. https://t.co/6Y3n4fS9Gr w/ great collaborators @Hidenori8Tanaka Daniel Kunin, @dyamins thread-> https://t.co/ZCAOZ9S08O

https://t.co/VaMGbOjQ11 JOINT TASK FORCE ON PANDEMIC COVID-19

"Open and Collaborative De Novo Discovery of Antiviral Agents for COVID-19 with Deep Reinforcement Learning and OpenAI Gym" https://t.co/GeYwYqAEb3

#AITaskForce #MontrealAI #Covid19 #ReinforcementLearning #OpenAIGym https://t.co/fC2IVTXmgr

https://t.co/VaMGbOjQ11 JOINT TASK FORCE ON PANDEMIC COVID-19 "Open and Collaborative De Novo Discovery of Antiviral Agents for COVID-19 with Deep Reinforcement Learning and OpenAI Gym" https://t.co/GeYwYqAEb3 #AITaskForce #MontrealAI #Covid19 #ReinforcementLearning #OpenAIGym https://t.co/fC2IVTXmgr

Quoted @rhizomatiks

Rhizomatiks developed the “Points of a sword visualization system”, was presented at the “Takamadomiya Cup JAL PRESENTS FENCING WORLD CUP 2019”. This was the second time the game was introduced following the 72nd All-Japan Fencing Championship which was held last month. https://t.co/l8st0K27GO

i forgot to mention: we made improvements to the markerless fencing tracking algorithm to handle sword bend in 3D, and the visualization was significantly improved 🤺 https://t.co/SDsZGDsCjH

Say goodbye to flatland. We show how curriculum+RL can learn policies to traverse difficult step sequences and variable terrain (rewards only; no example data). With @zhaomingxie, Hung Yu Ling, @NamHeeGordonKim https://t.co/k7qjK5iQYP https://t.co/pdrA4uUxLr

The impact of Covid-19 on College & Universities is unprecedented and could "break the education system"

https://t.co/VaMGbOjQ11 is developing "Saraswati AI": All of education, for all.

Saraswati AI will significantly improve access and quality of online education.

#MontrealAI https://t.co/bAimk7P9te

The impact of Covid-19 on College & Universities is unprecedented and could "break the education system" https://t.co/VaMGbOjQ11 is developing "Saraswati AI": All of education, for all. Saraswati AI will significantly improve access and quality of online education. #MontrealAI https://t.co/bAimk7P9te

Intelligence artificielle 101
Plus de 1,600 personnes intéressées ou déjà inscrites 😊
Conférence en ligne: https://t.co/NkVyGioikR
#IntelligenceArtificielle101 #IA101 https://t.co/GDGwr0akL8

Intelligence artificielle 101 Plus de 1,600 personnes intéressées ou déjà inscrites 😊 Conférence en ligne: https://t.co/NkVyGioikR #IntelligenceArtificielle101 #IA101 https://t.co/GDGwr0akL8

Our contribution towards differentiable programming: O(n log n) differentiable sorting and ranking operators. Key techniques: projections onto permutahedra & isotonic optimization. Applications to top-k classification, label ranking, least trimmed squares. https://t.co/wjfrxLBFJS https://t.co/7V21zPM8MM

Our contribution towards differentiable programming: O(n log n) differentiable sorting and ranking operators. Key techniques: projections onto permutahedra & isotonic optimization. Applications to top-k classification, label ranking, least trimmed squares. https://t.co/wjfrxLBFJS https://t.co/7V21zPM8MM

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