CompressAI: A PyTorch Library For End-To-End Compression Research
Paper: https://arxiv.org/abs/2011.03029
Summary: https://www.marktechpost.com/2020/11/09/compressai-a-pytorch-library-for-end-to-end-compression-research/

Deep Learning Drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
GitHub by Marimuthu Kalimuthu: https://github.com/kmario23/deep-learning-drizzle
#artificialintelligence #deeplearning #reinforcementlearning

COURSE
COMP 551 - Applied Machine Learning
McGill's introductory course in machine learning
https://cs.mcgill.ca/~wlh/comp551/schedule.html

Google AI Releases ‘Objectron Dataset’ Consisting Of 15,000 Annotated Videos And 4M Annotated Images

Github: https://github.com/google-research-datasets/Objectron/

https://www.marktechpost.com/2020/11/13/google-ai-releases-objectron-dataset-consisting-of-15000-annotated-videos-and-4m-annotated-images/

BREAKING: a new MIT study using machine learning methods suggests that COVID-19 vaccines may be less effective for racial minorities.

Specifically, Asian-Americans were 274x more likely to not respond to the vaccine vs. white participants, and Black-Americans were 34x more likely to not respond.

Vaccine effectiveness by race:
White: 99.97%
Black: 98.80%
Asian-American: 90.41%

Paper: bit.ly/C19racepdf

More info: bit.ly/C19vaccineXrace

#Pfizer #CovidVaccine #COVID19 #COVID19UK #COVID19Vaccine

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code.

The complete reference to each paper is listed at the end of this repertory.

https://github.com/louisfb01/Best_AI_paper_2020

‘The Debate of the Next Decade’
– AI DEBATE 2 EXPLORES AGI AND AI ETHICS
Synced: https://syncedreview.com/2020/12/24/the-debate-of-the-next-decade-ai-debate-2-explores-agi-and-ai-ethics/
#MontrealAI #AIDebate #AIDebate2

Top 10 computer vision paper a 2020

https://github.com/louisfb01/Top-10-Computer-Vision-Papers-2020

The top 10 computer vision papers in 2020 with video demos, articles, code, and paper reference.

https://www.kdnuggets.com/2021/01/top-10-computer-vision-papers-2020.html

Enzyme, a compiler plug-in for importing foreign code into systems like TensorFlow & PyTorch without having to rewrite it. v/@MIT_CSAIL

Paper: http://bit.ly/EnzymePDF

More: http://bit.ly/EnzymeML

#ML #MachineLearning #PyTorch #TensorFlowJS #NeurIPS #tensorflow #AI

The study by researchers at Center for Humans and Machines at the Max Planck Institute has concluded that containing artificial intelligence is an incomputable problem. 😳
@ArtificialIntelligenceArticles
No single computer program can find a foolproof way to keep AI from acting harmful if it wants to. Researchers add that humans may not even realize when super-intelligent machines actually arrive in the tech world. So, are they already here? Find out more: https://www.studyfinds.org/no-way-to-control-super-artificial-intelligence-ai/

@ArtificialIntelligenceArticles

New Courses
CV3DST - Computer Vision 3: Detection, Segmentation and Tracking - Technical University Munich - Prof. Leal-Taixé
[Playlist] https://youtu.be/e07-lWFimq8
ADL4CV - Advanced Deep Learning for Computer Vision - Technical University Munich - Prof. Leal-Taixé and Prof. Niessner (SS20)
[Playlist] https://youtu.be/ySRgJYq6j7o

Deep learning-enabled medical computer vision

#deeplearning #machinelearning #artificialintelligence #computervision #healthcare #medicalimaging #radiologists #radiology
https://www.nature.com/articles/s41746-020-00376-2

Deep Learning in Life Sciences
by Massachusetts Institute of Technology (MIT)

Course Site: https://mit6874.github.io/

Lecture Videos: https://youtube.com/playlist?list=PLypiXJdtIca5ElZMWHl4HMeyle2AzUgVB

We will explore both conventional and deep learning approaches to key problems in the life sciences, comparing and contrasting their power and limits. Our aim is to enable you to evaluate a wide variety of solutions to key problems you will face in this rapidly developing field, and enable you to execute on new enabling solutions that can have large impact.
As part of the subject you will become an expert in using modern cloud resources to implement your solutions to challenging problems, first in problem sets that span a carefully chosen set of tasks, and then in an independent project.
You will be programming using Python 3 and TensorFlow 2 in Jupyter Notebooks on the Google Cloud, a nod to the importance of carefully documenting your work so it can be precisely reproduced by others.

#artificialintelligence #deeplearning #tensorflow #python #biology #lifescience