Lex Fridman :
New introductory lecture of the MIT Self-Driving Cars series with an overview of the industry from Tesla to Waymo and autonomous taxi services to flying cars and connected vehicles to human-centered autonomy. Many interesting talks to come!
https://www.youtube.com/watch?v=sRxaMDDMWQQ
New introductory lecture of the MIT Self-Driving Cars series with an overview of the industry from Tesla to Waymo and autonomous taxi services to flying cars and connected vehicles to human-centered autonomy. Many interesting talks to come!
https://www.youtube.com/watch?v=sRxaMDDMWQQ
YouTube
Self-Driving Cars: State of the Art (2019)
Introductory lecture of the MIT Self-Driving Cars series (6.S094) with an overview of the autonomous vehicle industry in 2018 and looking forward to 2019, including Waymo, Tesla, Cruise, Ford, GM, and out-of-the-box ideas of boring tunnels, flying cars, connected…
The power of deeper networks for expressing natural functions”,
Rolnick and Tegmark: https://arxiv.org/abs/1705.05502
#artificalintelligence #deeplearning #machinelearning
Rolnick and Tegmark: https://arxiv.org/abs/1705.05502
#artificalintelligence #deeplearning #machinelearning
AAAI Conference Analytics
Citation distribution by the top AAAI 20 authors, year by year:https://goo.gl/Z15LbW
#artificalintelligence #deeplearning #machinelearning
Citation distribution by the top AAAI 20 authors, year by year:https://goo.gl/Z15LbW
#artificalintelligence #deeplearning #machinelearning
Lex Fridman : First blog post on Deep Learning Basics with TensorFlow (on the official TensorFlow page):
https://medium.com/tensorflow/mit-deep-learning-basics-introduction-and-overview-with-tensorflow-355bcd26baf0
https://medium.com/tensorflow/mit-deep-learning-basics-introduction-and-overview-with-tensorflow-355bcd26baf0
The Hanabi Challenge: A New Frontier for AI Research
Paper by Bard et al.: https://arxiv.org/abs/1902.00506
Code: https://github.com/deepmind/hanabi-learning-environment
Paper by Bard et al.: https://arxiv.org/abs/1902.00506
Code: https://github.com/deepmind/hanabi-learning-environment
Can neural networks learn commonsense reasoning?
ATOMIC | An Atlas of Machine Commonsense for If-Then Reasoning: https://homes.cs.washington.edu/~msap/atomic/
ATOMIC | An Atlas of Machine Commonsense for If-Then Reasoning: https://homes.cs.washington.edu/~msap/atomic/
Neuroscience-Inspired Artificial Intelligence
https://www.cell.com/neuron/pdf/S0896-6273(17)30509-3.pdf @ArtificialIntelligenceArticles
https://www.cell.com/neuron/pdf/S0896-6273(17)30509-3.pdf @ArtificialIntelligenceArticles
New interesting paper in Super Resolution area https://arxiv.org/abs/1812.04240
arXiv.org
Unsupervised Degradation Learning for Single Image Super-Resolution
Deep Convolution Neural Networks (CNN) have achieved significant performance
on single image super-resolution (SR) recently. However, existing CNN-based
methods use artificially synthetic...
on single image super-resolution (SR) recently. However, existing CNN-based
methods use artificially synthetic...
Organic computers may be our future https://phys.org/news/2018-12-amoeba-approximate-solutions-np-hard-problem.html
phys.org
Amoeba finds approximate solutions to NP-hard problem in linear time
Researchers have demonstrated that an amoeba—a single-celled organism consisting mostly of gelatinous protoplasm—has unique computing abilities that may one day offer a competitive alternative to ...
Good course from Stanford "Human behavior biology"
https://tjournal.ru/science/84155-vse-25-lekciy-stenfordskogo-kursa-professora-roberta-sapolski-biologiya-povedeniya-cheloveka
https://tjournal.ru/science/84155-vse-25-lekciy-stenfordskogo-kursa-professora-roberta-sapolski-biologiya-povedeniya-cheloveka
TJ
Все 25 лекций Стэнфордского курса профессора Роберта Сапольски «Биология поведения человека» — Наука на TJ
Сексуальное поведение, генетика, шизофрения и многое другое в 25 лекциях курса профессора Роберта Сапольски «Биология поведения человека» на русском языке!
10 TED Talks on AI and machine learning
https://enterprisersproject.com/article/2019/2/ai-and-machine-learning-10-ted-talks
https://enterprisersproject.com/article/2019/2/ai-and-machine-learning-10-ted-talks
The Enterprisers Project
10 TED Talks on AI and machine learning
How will AI reshape your career? Your health? Your ability to tell real from fake video? Recent TED talks explore some fascinating AI questions
Andrew Ng: How to Choose Your First AI Project
https://hbr.org/2019/02/how-to-choose-your-first-ai-project
https://hbr.org/2019/02/how-to-choose-your-first-ai-project
Harvard Business Review
How to Choose Your First AI Project
Tapping the power of AI technologies requires customizing them to your business context. The purpose of your first 1-2 pilot projects is only partly to create value; more importantly, the success of these projects will help convince stakeholders to invest…
Physics control tasks with Deep Reinforcement Learning
https://blog.paperspace.com/physics-control-tasks-with-deep-reinforcement-learning/
https://blog.paperspace.com/physics-control-tasks-with-deep-reinforcement-learning/
Paperspace Blog
Physics control tasks with Deep Reinforcement Learning
Learn how to implement the paper Continuous Control with Deep Reinforcement Learning, in PyTorch using OpenAI gym.
Reinforcement Learning 8: Advanced Topics in Deep RL
https://www.youtube.com/watch?v=L6xaQ501jEs&feature=share
https://www.youtube.com/watch?v=L6xaQ501jEs&feature=share
YouTube
Reinforcement Learning 8: Advanced Topics in Deep RL
ArtificialIntelligenceArticles
Rust Detection Using Deep Learning https://www.youtube.com/watch?v=iYsSmnma8jA
Techniques for Detection of Rusting of Metals using Image Processing: A Survey
Most of industries around us make use of iron machines & tools for manufacturing their products. On the other
hand corrosion is a natural process that deteriorates the integrity
of iron surface. Therefore, rusting of iron takes place. To avoid unwanted accidents in industries, it is necessary to detect rusting in earlier stage, so that it can be prevented. Digital Image Processing for the detection of the rusting provides fast, accurate and objectives results. There have been many techniques for detection of rust. In this paper we are describing some existing techniques for detection of rusting. We have analyzed these
techniques and made comparison based o their approaches,
strengths and limitations.
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.675.7088&rep=rep1&type=pdf
Most of industries around us make use of iron machines & tools for manufacturing their products. On the other
hand corrosion is a natural process that deteriorates the integrity
of iron surface. Therefore, rusting of iron takes place. To avoid unwanted accidents in industries, it is necessary to detect rusting in earlier stage, so that it can be prevented. Digital Image Processing for the detection of the rusting provides fast, accurate and objectives results. There have been many techniques for detection of rust. In this paper we are describing some existing techniques for detection of rusting. We have analyzed these
techniques and made comparison based o their approaches,
strengths and limitations.
https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.675.7088&rep=rep1&type=pdf