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
What is Linguistics?
Nathan Schneider ENLP | 28 January 2019
https://people.cs.georgetown.edu/cosc572/s19/04_ling.pdf
Nathan Schneider ENLP | 28 January 2019
https://people.cs.georgetown.edu/cosc572/s19/04_ling.pdf
Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning"
Paper by Frazier-Logue and Hanson: https://arxiv.org/abs/1808.03578
Stochastic Delta Rule implemented in Pytorch on DenseNet: https://github.com/noahfl/sdr-densenet-pytorch
#artificailintelligence #deeplearning #pytorch
Paper by Frazier-Logue and Hanson: https://arxiv.org/abs/1808.03578
Stochastic Delta Rule implemented in Pytorch on DenseNet: https://github.com/noahfl/sdr-densenet-pytorch
#artificailintelligence #deeplearning #pytorch
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Slides by Jacob Devlin: https://nlp.stanford.edu/seminar/details/jdevlin.pdf
#NaturalLanguageProcessing #NLP #DeepLearning
Slides by Jacob Devlin: https://nlp.stanford.edu/seminar/details/jdevlin.pdf
#NaturalLanguageProcessing #NLP #DeepLearning
A Gentle Introduction to Graph Neural Networks (Basics, DeepWalk, and GraphSage)
https://towardsdatascience.com/a-gentle-introduction-to-graph-neural-network-basics-deepwalk-and-graphsage-db5d540d50b3
https://towardsdatascience.com/a-gentle-introduction-to-graph-neural-network-basics-deepwalk-and-graphsage-db5d540d50b3
Medium
A Gentle Introduction to Graph Neural Networks (Basics, DeepWalk, and GraphSage)
Recently, Graph Neural Network (GNN) has gained increasing popularity in various domains, including social network, knowledge graph…
Trump to launch ‘American AI Initiative’ later today: The initiative will redirect federal funding and resources towards AI research, as well as call for the creation of US-led international standards in AI, and new research into the retraining of American workers.
https://www.theverge.com/2019/2/11/18219981/american-ai-initiative-trump-administration-funding-research-data
https://www.theverge.com/2019/2/11/18219981/american-ai-initiative-trump-administration-funding-research-data
The Verge
Trump signs executive order to spur US investment in artificial intelligence
The new American AI Initiative will be a shot in the arm for the industry, but it’s vague and includes no new funding
CESMA: Centralized Expert Supervises Multi-Agents
Lin et al.: https://arxiv.org/abs/1902.02311
#MultiagentSystems #ArtificialIntelligence #MachineLearning #Systems #Control
Lin et al.: https://arxiv.org/abs/1902.02311
#MultiagentSystems #ArtificialIntelligence #MachineLearning #Systems #Control
Introduction to Applied Linear Algebra – Vectors, Matrices, and Least Squares
By Stephen Boyd and Lieven Vandenberghe, Cambridge University Press: https://web.stanford.edu/~boyd/vmls/
#ArtificialIntelligence #LinearAlgebra #Vectors #Matrices #MachineLearning
By Stephen Boyd and Lieven Vandenberghe, Cambridge University Press: https://web.stanford.edu/~boyd/vmls/
#ArtificialIntelligence #LinearAlgebra #Vectors #Matrices #MachineLearning
Highly recommend MIT 6.S191: Introduction to Deep Learning Course by Alexander Amini and Ava Soleimany through Massachusetts Institute of Technology (MIT)
#artificialintelligence
#deeplearning
#machinelearning
#CNN
#vision
MIT Deep Learning Course 6.S191 https://www.linkedin.com/pulse/mit-deep-learning-course-6s191-bhagirath-kumar-lader
#artificialintelligence
#deeplearning
#machinelearning
#CNN
#vision
MIT Deep Learning Course 6.S191 https://www.linkedin.com/pulse/mit-deep-learning-course-6s191-bhagirath-kumar-lader
A good news to NLP researchers
“Introduction to Flair for NLP: A Simple yet Powerful State-of-the-Art NLP Library”
https://www.analyticsvidhya.com/blog/2019/02/flair-nlp-library-python/
“Introduction to Flair for NLP: A Simple yet Powerful State-of-the-Art NLP Library”
https://www.analyticsvidhya.com/blog/2019/02/flair-nlp-library-python/
Analytics Vidhya
Introduction to Flair for NLP: A Simple yet Powerful State-of-the-Art NLP Library
Introduction to a simple yet amazing NLP library called Flair. See how it works and get the code to implement it in Python yourself!