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Linux & Security + Programming
Linux, Security Engineering, Admin, Developer > Coding
https://t.me/Linux_en_Code

This cat does not exist
http://bit.ly/2EtgJax

How 20th Century Fox uses ML to predict a movie audience
http://bit.ly/2EsHdsM

Math You Do not Need to Know for Machine Learning
http://bit.ly/2EuQh0h

The Learning Machine
http://bit.ly/2VfKxwH

The Lord of the Rings Storyline
https://tabsoft.co/2VfvwLp

Boom! What to read on the weekend, Issue #51

AI firm aims to free up parents and teachers from checking children’s maths homework
http://bit.ly/2V5TA3n

Bridging near- and long-term concerns about AI
https://go.nature.com/2EfnKeI

AI Systems. Foundations for Artificial Minds
http://bit.ly/2EekBfb

Why data visualisation needs a play button
http://bit.ly/2V5bDGH

Learning Preferences by Looking at the World
http://bit.ly/2V5UgWt

Deep Learning in Clojure from Scratch to GPU
http://bit.ly/2EgP2S9

Introduction to Flair for NLP: A Simple yet Powerful State-of-the-Art NLP Library
http://bit.ly/2V34uXr

How AI can help solve some of humanity’s greatest challenges – and why we might fail
http://bit.ly/2EeZlpQ

The Rise of the Robot Reporter
https://nyti.ms/2V1bAf7

Companies Are Failing in Their Efforts to Become Data-Driven
http://bit.ly/2V3UPzU

Boom! Weekly selection from DSB. Issue #42
The TOP 10 most popular links for the week

1. Why There Will Be No Data Science Job Titles By 2029
http://bit.ly/2V9Tacr

2. Mathematics for Machine Learning
http://bit.ly/2EhdBhX

3. Python Outlier Detection (PyOD)
http://bit.ly/2V2aeAM

4. Data science is different now
http://bit.ly/2V2lUn9

5. How to Choose Your First AI Project
http://bit.ly/2EgvM7i

6. Deep Learning Drizzle
http://bit.ly/2V48aYW

7. Python Developers Survey 2018 Results
http://bit.ly/2V3UvRI

8. Show off your Data Science skills with Kaggle Kernels
http://bit.ly/2EgndJJ

9. The 5 Biggest Debates in Data Science Today
http://bit.ly/2EdRd8U

10. Web Data Scraping Course, University of Colorado Boulder
http://bit.ly/2V489Em

Researchers Made an AI Whose Performance Increases if They Let It Sleep And Dream
http://bit.ly/2V3Uygm

Smaller Is Better: Why Finite Number Systems Pack More Punch
http://bit.ly/2V5SAMF

Web Data Scraping Course, University of Colorado Boulder
http://bit.ly/2V489Em

The Best and Worst Data Visualizations of 2018
http://bit.ly/2UYGhBy

Deep Learning Drizzle
http://bit.ly/2V48aYW

Application of #StyleGAN: site, which generates new people every page refresh.

Link: https://thispersondoesnotexist.com

OpenAI’s new model can generate surprisingly realistic fake news.

New model, called GPT-2 is an unsupervised language model that can generate coherent paragraphs and perform rudimentary reading comprehension, machine translation, question answering, and summarization — all without task-specific training.

Link: https://blog.openai.com/better-language-models/
Paper: https://d4mucfpksywv.cloudfront.net/better-language-models/language_models_are_unsupervised_multitask_learners.pdf

#OpenAI #NLP #fakenews #qa #DL

Boom! Weekly selection from DSB. Issue #41
The TOP 10 most popular links for the week

1. Data Structure Visualizations
http://bit.ly/2GvmLZH

2. AI 100: The Artificial Intelligence Startups Redefining Industries
http://bit.ly/2WTALCd

3. Mining of Massive Datasets, Stanford University
http://bit.ly/2IdkcxY

4. On time every time. The visualization shows the train schedule in The Netherlands for 1 of the busiest days
http://bit.ly/2GjTVw8

5. Wake word — an algorithmic nightmare. Text game by Verge
http://bit.ly/2E28u54

6. Introduction to StanfordNLP: An Incredible State-of-the-Art NLP Library for 53 Languages (with Python code)
http://bit.ly/stanfordnlp-nlp-library-python

7. The best defense against deepfake AI might be . . . blinking
http://bit.ly/the-best-defense-against-deepfakes

8. Machine learning leads mathematicians to unsolvable problem
http://bit.ly/math-unsolvable-problem

9. Tackling Europe’s gap in digital and AI
https://mck.co/2GAYH7O

10. How a Strange Grid Reveals Hidden Connections Between Simple Numbers
http://bit.ly/simple-numbers

Application of StyleGAN: site, which generates new non existing people every page refresh.
http://bit.ly/2EeMjZk

Show off your Data Science skills with Kaggle Kernels
http://bit.ly/2EgndJJ

Better Language Models and Their Implications
http://bit.ly/2V6hD2i

Mathematics for Machine Learning
http://bit.ly/2EhdBhX

The Winners of the World Data Visualization Prize
http://bit.ly/2V47RNM

​​Object Detection Networks and Augmented Reality for Cellular Detection in Fluorescence Microscopy Acquisition and Analysis.

#DL automated microscopy with objection detection.

Paper: https://www.biorxiv.org/content/10.1101/544833v1

#AugmentedReality

In this paper, they present a reinforcement learning approach for mapping natural language instructions to sequences of executable actions. They assume access to a reward function that defines the quality of the executed actions. During training, the learner repeatedly constructs action sequences for a set of documents, executes those actions, and observes the resulting reward. They use a policy gradient algorithm to estimate the parameters of a log-linear model for action selection. They apply their method to interpret instructions in two domains - Windows troubleshooting guides and game tutorials. Their results demonstrate that this method can rival supervised learning techniques while requiring few or no annotated training examples.

China is worried an AI arms race could lead to accidental war
http://bit.ly/china-us-ai-arms-race

Topics in Econometrics: Advances in Causality and Foundations of Machine Learning, Harvard University
http://bit.ly/topics-econometrics

The best defense against deepfake AI might be . . . blinking
http://bit.ly/the-best-defense-against-deepfakes

Setting the table. A brief visual history of the periodic table
http://bit.ly/periodic-table-visual-history

Understanding the Brain with the Help of Artificial Intelligence
http://bit.ly/understanding-the-brain

​​#startups@hitecher

Kernel is a startup that specializes in developing brain implants that stimulate neurons. According to its founders, the implants will stimulate one of the regions in the brain, the hippocampus, forcing the brain to remember incoming information.

The hippocampus is a region of the brain responsible for creating emotions and transferring information from short-term to long-term memory storage.


The development should help patients suffering from diseases like Parkinson’s or Alzheimer’s. The implant will contain electrodes to record neural signals during learning, a microprocessor to conduct calculations, as well as additional electrodes for neural stimulation.

The startup’s development is based on research by Theodore Berger, head of the Center for Neural Engineering at the University of Southern California. According to the scientist’s methodology, electrodes log neural signals from the hippocampus during the process of recognition and memorization of new information. Berger also tracked the processes that took place inside the brain during the learning process, to determine how incoming signals received during the learning process are transformed into long-term memories. Based on his studies, the scientist developed several mathematical models that transformed input signals (learning) into output signals (memories).

It’s better to be late, than to miss amazing opportunite to take part in not-official, but supervised online course of Deep Learning by CMU.

Course has already started, but you still can hop on the departing train to learn (or review) deep learning foundations and have some practice.

Content, quizes, practice exercises are in English.

This initiative was brought by editor of russian-speaking @powerofdata channel.

Link: https://dlcourse.ru
Original course page (with mention of aforementioned initiative): http://deeplearning.cs.cmu.edu

​​#neutonets_hitecher

🖌 A robot artist has been created in the UK.

The world's first robot artist, named Ai-Da in honour of the world's first female programmer Ada Lovelace, is able to do pencil drawings. Ai-Da has a freely-moving bionic arm, silicone skin and cameras integrated into each of its eye sockets.

🏞 It takes about 45 minutes to paint a picture. Ai-Da is able to depict people and animals from photographs and draw still-life paintings.

The Data Scientist Profile In 2019 — Skills, Work Experience, And Education Of 1,001 Data Scientists
http://bit.ly/data-scientist-profile-2019

Introduction to StanfordNLP: An Incredible State-of-the-Art NLP Library for 53 Languages (with Python code)
http://bit.ly/stanfordnlp-nlp-library-python

MyStory: How I Successfully Switched from Application Development to Data Science
http://bit.ly/mystory-how-learned-data-science-successfully-switched-careers

Based on a True True Story? Sence-by-scene Breakdown of Hollywood Films
http://bit.ly/based-on-a-true-true-story

An Interactive Tutorial on Numerical Optimization
http://bit.ly/numerical-optimization

AI 100: The Artificial Intelligence Startups Redefining Industries
http://bit.ly/2WTALCd

Mining of Massive Datasets, Stanford University
http://bit.ly/2IdkcxY

Wake word — an algorithmic nightmare. Text game by Verge
http://bit.ly/2E28u54

Data Structure Visualizations
http://bit.ly/2GvmLZH

Condensing Steam: distilling the diversity of gamer behaviour. Steam dataset with 1.1 milling years of playtime
http://bit.ly/2tj9oDP