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

What is Linguistics?
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

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

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

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

CESMA: Centralized Expert Supervises Multi-Agents

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

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

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/

the Defense Department's new #AI strategy

"Harnessing AI to Advance Our Security and Prosperity": https://media.defense.gov/2019/Feb/12/2002088963/-1/-1/1/SUMMARY-OF-DOD-AI-STRATEGY.PDF

#artificialintelligence #defense #strategy

Better Language Models and Their Implications

By OpenAI: https://blog.openai.com/better-language-models/

#artificailintelligence #deeplearning #machinelearning

Modern Deep Learning Techniques Applied to Natural Language Processing
https://nlpoverview.com/index.html#disqus_thread

How to train U-Net for Medical 🏥 datasets
Using: Keras with backend Tensorflow and Conda environment.
Hardware: intel CPU

https://www.intel.ai/intel-neural-compute-stick-2-for-medical-imaging/