Top news of the week: 23.04.2020.
#AI #COVID19 #MONAI #Healthcare #acl2020nlp
Research
RT @suzatweet: AI Curriculum
⚪MIT 6.S191: Introduction to Deep Learning
⚪CS231n: CNNs for Visual Recognition, Stanford | Spring 2019
⚪CS224n: NLP with Deep Learning, Stanford | Winter 2019
⚪CS285: Deep Reinforcement Learning, UC Berkeley | Fall 2019
https://t.co/2OEpd9pA0o https://t.co/fhBWmBpwEB
OpenMachine-Learning-Tokyo / AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley. - Machine-Learning-Tokyo/AI_Curriculum
RT @whereisravi: We are hiring a Summer 2020 intern at Qualcomm AI Research, to work on ultra-low power computer vision. Looking for candidates with strong computer vision & machine learning expertise. Experience with embedded vision is a plus. Experience with AR/VR appli…https://t.co/LTBtuxwjvG
OpenSr. Staff Engineer/Manager at Qualcomm
We are hiring a Summer 2020 intern at Qualcomm AI Research, to work on ultra-low power computer vision. Looking for candidates with strong computer vision... 48 comments on LinkedIn
RT @maxkelsen: Can #AI help in the fight against #COVID19? This was the question posed to @Queensland_AI’s panel of world-class AI & medical experts last week, including @jeremyphoward from @fastdotai. Check out our event recap & a full recording of the session:
https://t.co/jhMJVGi4iw
OpenCan AI help in the fight against COVID-19?
Key takeaways from a panel featuring Jeremy Howard from fast.ai and a world-class panel of AI & medical experts.
Sp proud of my colleagues at @nvidia & Seb Ourselin et al @KingsCollegeLon on #MONAI an open source #AI framework for #Healthcare Research:
https://t.co/SVganKnYBR
Technical blog: https://t.co/6Vruoxfl04
Pls contribute on Github: https://t.co/vBVjuLnzmE
OpenMONAI public alpha is now available: towards a domain-optimized, common software foundation for deep learning research in healthcare
MONAI is an open-source, PyTorch based, community backed framework for researchers capturing best practices for deep learning.
RT @Fra_Pochetti: New @fastdotai blog post alert!
In this one, I played around with the Plant Pathology Kaggle competition to perfection my understanding of the library's functionality in Computer Vision.
https://t.co/JxkWqPnrty
OpenPlant Pathologies: fastai’s wonders in Computer Vision
Reading Time: 11 minutes Note: full Jupiter notebook here. Introduction I am writing this post to summarize my latest efforts in exploring the Computer Vision functionality of the new ...
RT @savvyRL: Our deep learning reading group is *fully virtual* and *open to all* this year! Join us every Friday noon to hear a live discussion of ideas.
https://t.co/cOpeJnSGIo
And nominate your favorite speaker too; I'll do my best to have them come present (no guarantee of success🤪) https://t.co/KrTDZTgryc
OpenDeep Learning: Classics and Trends
It is a reading group / talk series I have been running since 2018. Scope: deep learning, old (a.k.a. Coming up: Past events: 2020.03.27 Michela Paganini Empirical Observations in …
RT @allen_ai: New on the AI2 Blog: 'A Formal Hierarchy of RNN Architectures', research that addresses questions like "what can an LSTM do that a QRNN can't?"
Joint work from @lambdaviking, @gail_w, @yoavgo, @royschwartz02, @nlpnoah, & @yahave to appear at #acl2020nlp:
https://t.co/ich8K5hssW
OpenA Formal Hierarchy of RNN Architectures
This post is about A Formal Hierarchy of RNN Architectures, which was joint work between myself, Gail Weiss, Yoav Goldberg, Roy Schwartz…
RT @camb_ai: (5/7) .@CambNetwork are hosting an online business lecture titled 'What next for AI and machine learning?' with @lawrennd on 21st April. This event, sadly, is full, but they have a waitlist!
https://t.co/Toqj2VOgZw
OpenBusiness Lecture: What next for AI and machine learning?
Cambridge Network will welcome Prof Neil Lawrence from the University of Cambridge as a key speaker in April. Prof Lawrence recently left Amazon to join the University of …