AI pioneer Geoff Hinton: “Deep learning is going to be able to do everything”



"I do believe deep learning is going to be able to do everything, but I do think there’s going to have to be quite a few conceptual breakthroughs. For example, in 2017 Ashish Vaswani et al. introduced transformers, which derive really good vectors representing word meanings. It was a conceptual breakthrough. It’s now used in almost all the very best natural-language processing. We’re going to need a bunch more breakthroughs like that."

https://www.technologyreview.com/2020/11/03/1011616/ai-godfather-geoffrey-hinton-deep-learning-will-do-everything/

Sr. Machine Learning Researcher

Lawrence Livermore National Laboratory, #United #States

http://careers-llnl.ttcportals.com/jobs/5806771-sr-machine-learning-researcher

YOSHUA BENGIO on DEEP REPRESENTATION LEARNING:
Abstract: How could humans or machines discover high-level abstract representations which are not directly specified in the data they observe? The original goal of deep learning is to enable learning of such representations in a way that disentangles underlying explanatory factors.
Bio: Yoshua Bengio is recognized as one of the world’s leading experts in artificial intelligence (AI) and a pioneer in deep learning.
Source: https://www.youtube.com/watch?v=-BjJMs8DS-8

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