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A step-by-step guide to building a simple chess AI

medium.com/@lhartikk2017216 points41 commentsAI & Machine Learning details

Let’s explore some basic concepts that will help us create a simple chess AI:

Recycle robot – using raspberry pi and tensorflow

The Arrival of AI

Ben Thompson2017162 points127 commentsAI & Machine Learning details

What is artificial intelligence? Is it really any different than technology? In my estimation machine learning is truly something new, and the effects on society will be significant.

Using IBM Bluemix Watson APIs to Optimise my CV

Paul's Geek Dad Blog2017174 points24 commentsAI & Machine Learning details

Using IBM Bluemix Watson APIs to optimise my CV (resume)

The AI Misinformation Epidemic

Approximately Correct2017337 points277 commentsAI & Machine Learning details

Interest in machine learning may be at an all-time high. Per Google Trends, people are searching for machine learning nearly five times as often as five years ago. And at the University of California San Diego (UCSD),

Hopfield Networks in Go

A Quick Look at Support Vector Machines

Opening a new chapter of my work in AI

Andrew Ng2017247 points77 commentsAI & Machine Learning details

Deep Learning without Backpropagation

A machine learning craftsmanship blog.

Overcoming Catastrophic Forgetting in Neural Networks

Building Safe AI: A Tutorial on Homomorphically Encrypted Deep Learning

A machine learning craftsmanship blog.

Uncertainty in Deep Learning (2016)

The Amazing Power of Word Vectors (2016)

Adrian Colyer (The Morning Paper)2017127 points9 commentscited by 4AI & Machine Learning details

For today’s post, I’ve drawn material not just from one paper, but from five! The subject matter is ‘word2vec’ – the work of Mikolov et al. at Google on efficient vect…

Creating photorealistic images with neural networks and a Gameboy Camera

Mark Cuban on Why You Need to Study Artificial Intelligence

Implementing a Principal Component Analysis In Python (2014)

Sebastian Raschka2017151 points26 commentsAI & Machine Learning details

Implementing Principal Component Analysis from scratch in Python: scatter matrices, eigenvectors, variance explained, and comparison with scikit-learn PCA.

Unexpected Consequences of Self-Driving Cars

Rodney Brooks2017183 points209 commentsAI & Machine Learning details

Many new technologies have unexpected impacts on the physical or social world in which we live.

Lane Following Autopilot with Keras and Tensorflow

Things I learned creating my own Messenger chatbot

Kilian Valkhof2017195 points18 commentsSoftware Engineering details

The modern messaging tools that chatbots run on offer much more ways to interact compared to what previous incarnations of chatbots had, such as those used on IRC or AIM. Much advise on building chatbots that’s out there quietly assumes that all chatbots are just text-in-text-out, which doesn’t match with the…

Game Theory Reveals the Future of Deep Learning

Carlos E. Perez2017200 points67 commentsAI & Machine Learning details

If you’ve been following my articles up to now, you’ll begin to perceive, what’s apparent to many advanced practitioners of Deep Learning…

Deep Text Correcter

Alex Paino's Personal Site and Blog

King – man + woman is queen; but why?

Piotr Migdał2017263 points101 commentsAI & Machine Learning details

TensorKart: self-driving MarioKart with TensorFlow

Kevin Hughes2017631 points68 commentscited by 4AI & Machine Learning details

Kevin Hughes' blog

LSTM Neural Networks for Time Series Prediction

Learning Machine Learning: A beginner's journey

Murat Demirbas2016414 points53 commentsAI & Machine Learning details

I have been learning about machine learning and deep learning (ML/DL) for the last year. I think ML/DL is here to stay. I don't think this i...

Deep Learning Enables You to Hide Screen When Your Boss Is Approaching

AHO Grammer2016316 points103 commentsAI & Machine Learning details

Discover how advanced deep learning technologies offer revolutionary screen privacy solutions in the workplace. Learn to safeguard your digital space with ease.

Superintelligence: The Idea That Eats Smart People

This is the text version of a talk I gave on October 29, 2016, at Web Camp Zagreb [ video ] (45 mins)

Tool AIs want to be agent AIs

Gwern Branwen2016153 points58 commentsAI & Machine Learning details

AIs limited to pure computation (Tool AIs) supporting humans, will be less intelligent, efficient, and economically valuable than more autonomous reinforcement-learning AIs (Agent AIs) who act on their own and meta-learn, because all problems are reinforcement-learning problems.

Backpropagation is a leaky abstraction

Andrej Karpathy2016365 points261 commentscited by 3AI & Machine Learning details

Natural Language Corpus Data: Beautiful Data

Peter Norvig2016110 points16 commentscited by 8Databases & Data details

Data files are derived from the Google Web Trillion Word Corpus , as described by Thorsten Brants and Alex Franz, and distributed by the Linguistic Data Consortium.