for who have a passion for -
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2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
Post #5686
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Channel Public Channel
AR ArtificialIntelligenceArticles
@artificialintelligencearticles
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Post #5685
2.19K
Post #5684
1.87K
Post #5683
1.92K
Post #5682
2.13K
‘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
Synced | AI Technology & Industry Review ‘The Debate of the Next Decade’ – AI Debate 2 Explores AGI and AI Ethics | Synced The four-hour event included three panel discussions: Architecture and Challenges, Insights from Neuroscience and Psychology, and Towards AI We Can Trust. – 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
Post #5681
1.94K
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 complete reference to each paper is listed at the end of this repertory.
https://github.com/louisfb01/Best_AI_paper_2020
Post #5680
2.73K
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
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
Post #5679
2.41K
Post #5678
2.67K
Post #5676
2.83K
Post #5675
2.29K
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/
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/
Post #5674
1.92K
COURSE
COMP 551 - Applied Machine Learning
McGill's introductory course in machine learning
https://cs.mcgill.ca/~wlh/comp551/schedule.html
COMP 551 - Applied Machine Learning
McGill's introductory course in machine learning
https://cs.mcgill.ca/~wlh/comp551/schedule.html
Post #5673
2.14K
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
GitHub GitHub - kmario23/deep-learning-drizzle: Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision… Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!! - kmario23/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
Post #5672
1.76K
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/
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/
Post #5671
1.73K
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
YouTube Deep Representation Learning - Yoshua Bengio (MILA, Canada) 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… 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
Post #5670
1.82K
Sr. Machine Learning Researcher
Lawrence Livermore National Laboratory, #United #States
http://careers-llnl.ttcportals.com/jobs/5806771-sr-machine-learning-researcher
Lawrence Livermore National Laboratory, #United #States
http://careers-llnl.ttcportals.com/jobs/5806771-sr-machine-learning-researcher
Post #5669
1.96K
Post #5668
2K
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/
"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/
Post #5667
1.84K
50 Years at CMU
The Inaugural Raj Reddy Artificial Intelligence Lecture
Join the School of Computer Science as we mark the 50th anniversary of Raj Reddy's arrival at Carnegie Mellon University with the inaugural Raj Reddy Artificial Intelligence Lecture. During this landmark event, you'll hear from 2018 Turing Award winners Yoshua Bengio, Geoffrey Hinton and Yann LeCun. Former Executive Vice President of Artificial Intelligence and Research at Microsoft Harry Shum, CMU President Farnam Jahanian, and SCS Dean Martial Hebert will also offer remark.
https://www.cs.cmu.edu/events/raj-reddy-50
The Inaugural Raj Reddy Artificial Intelligence Lecture
Join the School of Computer Science as we mark the 50th anniversary of Raj Reddy's arrival at Carnegie Mellon University with the inaugural Raj Reddy Artificial Intelligence Lecture. During this landmark event, you'll hear from 2018 Turing Award winners Yoshua Bengio, Geoffrey Hinton and Yann LeCun. Former Executive Vice President of Artificial Intelligence and Research at Microsoft Harry Shum, CMU President Farnam Jahanian, and SCS Dean Martial Hebert will also offer remark.
https://www.cs.cmu.edu/events/raj-reddy-50
Post #5666
1.96K
paper and code
A proposed a novel AI framework to conduct real-time multi-speaker recognition without any prior registration or pre-training by learning the speaker identification on the fly. Considering the practical problem of online learning with episodically revealed rewards and introduced a solution based on semi-supervised and self-supervised learning methods in a web- based application
INTERSPEECH 2020 - "VoiceID on the fly: A Speaker Recognition System that Learns from Scratch"
https://www.youtube.com/watch?v=QqLnFS5_rCs
code https://github.com/doerlbh/MiniVox
paper https://arxiv.org/pdf/2006.04376.pdf
demo https://www.baihan.nyc/viz/VoiceID/
YouTube INTERSPEECH 2020 - "VoiceID on the fly: A Speaker Recognition System that Learns from Scratch" INTERSPEECH 2020
"VoiceID on the fly: A Speaker Recognition System that Learns from Scratch"
Baihan Lin (UW) & Xinxin Zhang (UW)
Paper: https://arxiv.org/abs/2006.04376
Code: https://github.com/doerlbh/MiniVox
Demo: https://www.baihan.nyc/viz/VoiceID/
Abstract:… A proposed a novel AI framework to conduct real-time multi-speaker recognition without any prior registration or pre-training by learning the speaker identification on the fly. Considering the practical problem of online learning with episodically revealed rewards and introduced a solution based on semi-supervised and self-supervised learning methods in a web- based application
INTERSPEECH 2020 - "VoiceID on the fly: A Speaker Recognition System that Learns from Scratch"
https://www.youtube.com/watch?v=QqLnFS5_rCs
code https://github.com/doerlbh/MiniVox
paper https://arxiv.org/pdf/2006.04376.pdf
demo https://www.baihan.nyc/viz/VoiceID/