crowdAI

Inactive account!
CrowdAI was a project by the Digital Epidemiology Lab at EPFL. The team has created a new entity @AIcrowdHQ and is tweeting from there.

[crowdAI @crowd_ai]

We’ve stopped tweeting from this account. To get updates from the same original team, head over to @AIcrowdHQ!

[crowdAI @crowd_ai]

Excited to launch the food recognition challenge! 🍞 🥐 🥖 🥞 🧀 🍖 🍗 🥓 🍔 🍟 🍕 🌭 🌮 🌯 🥙 🥚 🍳 🥘 🍲 🥗 🍿 🥨 🥩 🥪 🥣 🥫 🥯

We’re looking to establish a long-standing food reception benchmark based on open food data:

https://t.co/YVBLI4q4Wa

[Gabriel Peyré @gabrielpeyre]

Non-circular gears are ubiquitous and generate non-constant rotation speeds. The movement of the second gear is obtained from the first one from the no-slip condition, after solving for the distance D. https://t.co/nXWEuWZABd

[crowdAI @crowd_ai]

@shihzy We are moving all our Twitter activity to @aicrowdHQ 😇 But we are equally excited about the challenge !! 👾

[Sibylle / Back-on-Track Switzerland @sibtrenck]

Die #SBB mit @eriknygrench und @ae_sbb ist wieder unterwegs bei den Applied Machine Learning Days #AMLD in Lausanne und stellt die neue #CrowdAI Flatland Challenge vor, um kollaborativ✨👨‍💻🦸‍♀️👩‍💻🦸‍♂️✨an Lösungen für Real Time Traffic Management zu arbeiten. #SBBConnect #SBBinnovation

[crowdAI @crowd_ai]

@terezaif @appliedmldays @katjahofmann @EPFL For more hands on stuff on what Katja was presenting, please feel free to try this out : https://t.co/Mig9Ij6pEF

[crowdAI @crowd_ai]

@pyborisov Lots of news in the coming weeks ;-)

[crowdAI @crowd_ai]

The Spotify Sequential Skip Prediction Challenge ends in 17 hours!

https://t.co/X3bhJLa9jz

[GenevaWeb @GenevaWeb]

We’ve just announced our January meetup! Deep Learning in the Browser with TensorFlow.js

#hottopic #tensorflowjs

https://t.co/2fqZhuRRGc

[AI at Meta @AIatMeta]

We’ve open-sourced #PyText, a framework built on #PyTorch to help developers more quickly & easily experiment with and deploy NLP models: https://t.co/bXl85ZwSbQ

[crowdAI @crowd_ai]

We’re looking forward to seeing many of the past challenges discussed, and new challenges launched, at Applied Machine Learning Days! #AMLD2019

https://t.co/pZusXmo30U

[Sergey Kolesnikov @Scitator]

NeurIPS @crowd_ai competition prize is finally here!
Looking forward for segmentation tasks :)

Thanks @nvidia for research support!

[Arthur Juliani @awjuliani]

Myself and other from Unity will be at #NeurIPS2018 next week! We'll be showing off a new 3D fully-procedural AI benchmark environment we are developing with @togelius's Lab called Obstacle Tower. Stop by the Unity booth to say hello, chat with us, and try it out yourself.

[Baidu Research @BaiduResearch]

Congrats to Baidu NLP team “Firework” for winning first place at last week’s #AI for Prosthetics Challenge, one of the official challenges in the #neurips Competition Track. The Challenge drew over 400 participants with more than 4.5k submissions. https://t.co/aKiVPRJeCR

[crowdAI @crowd_ai]

Super excited to launch the @Spotify Sequential Skip Prediction Challenge on crowdAI: https://t.co/X3bhJLa9jz

cc @SpotifyResearch @SpotifyEng

[Sharada Mohanty @MeMohanty]

@wielandbr @crowd_ai @marcelsalathe @MasterScrat @ffledgling @beveliqi @alexey2004 @NicolasPapernot @MatthiasBethge Some needs to also thank you @wielandbr for doing **quite a lot** of ground work all through the whole competition !! It indeed was fun trying to pull off this competition !! We will come back bigger and stronger next year 😉 !

[Wieland Brendel @wielandbr]

Thanks to the whole @crowd_ai team - in particular @MeMohanty, @marcelsalathe, @MasterScrat and @ffledgling - as well as Jonas Rauber, @beveliqi, @alexey2004, @NicolasPapernot and @MatthiasBethge for making this competition possible!

[Wieland Brendel @wielandbr]

Results of the NIPS Adversarial Vision Challenge are in! Common themes are low-frequency versions of the boundary attack, ensembling of defenses and new adversarial training schemes. Find all the details at https://t.co/LloXH3Y5v5

[crowdAI @crowd_ai]

The last day of the Swiss Train Schedule Optimisation Challenge is about to begin: close to 200 submissions, more than 400 participants, and the results appear outstanding! https://t.co/CiLQdJZ4Ji #AI

[crowdAI @crowd_ai]

@ChristophMolnar DM us an address and we will send you a few stickers