Every business will soon be an intelligent business in the same way every enterprise is a digital enterprise. If they don’t become…

If you like this article, check out another by Robbie: My Curated List of AI and Machine Learning Resources

An intro to predictive machine learning algorithms. Linear regression, logistic regression, random forest, gradient boosting, deep learning, neural networks.

TL;DR: paste all the commands in your terminal in order of appearance; skip packages you already have (but update them). Before we begin: make sure you have at least 50GB of free disk space and that your device isn’t running on battery power. We are going to run neural networks; just like the giant network …

Cells The Neural Network Zoo shows different types of cells and various layer connectivity styles, but it doesn’t really go into how each cell type works. A number of cell types I originally gave different colours to differentiate the networks more clearly, but I have since found out that these cells work more or less …

We develop deep learning technology for artificial creativity and constraining artificial systems.

If you like this article, check out another by Robbie: My Curated List of AI and Machine Learning Resources

If you like this article, check out another by Robbie: Learning Machine Learning and NLP from 185 Quora Questions

by Aman Agarwal Explained Simply: How DeepMind taught AI to play video games Image credit [http://Image Source: http://truthorial.com/games/pacman-could-have-been-call-fuck-man]Google’s DeepMind is one of the world’s foremost AI research teams. They’re most famous for creating the AlphaGo player that beat South Korean Go champion Lee Sedol in 2016. The key technology used to create the Go playing AI was Deep Reinforcement Learning. Let’s go back 4 years, to when DeepMind first built an AI w

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.

Regardless of definition, robots are among us, and they’re getting more dexterous and clever.

On the anthropomorphic spectrum, is there a sweet spot for robotic assistants?

Litbit's AI-powered data center operator, Dac, and Wave2Wave's ROME robot are two examples of new technology helping to run data centers.

Drones need to be more independent of humans to be truly useful.

A new generation of robots is heading out of the factory and into urban settings to help you get packages and snacks.

Speculation about the autonomous car—when it will become available to consumers, how it will affect the way we live, what it will mean for auto...

Driverless cars are nothing short of a revolution – not a technological revolution, but a social one, that will determine how fast we can accept, adapt and trust these new systems to change our lives.       Driverless cars may be borne out of science fiction, but they are fast becoming realities on tomorrow's roadways. The transition from driver to robot is nothing short of a revolution. Not a technological revolution, but a social one, that will determine how fast we can accept, adapt and trust these new systems to change how and where we live, work, play and interact ...

Learn with Google AI. Whether you're just learning to code or you're a seasoned machine learning practitioner, you'll find information and exercises in this resource center to help you develop your skills and advance your projects.

It’s no longer the preserve of artificial-intelligence researchers and born-digital companies like Amazon, Google, and Netflix.

If science-fiction movies have taught us anything, it’s that the future is a bleak and terrifying dystopia ruled by murderous sentient robots. Fortunately, only one of these things is...

Machine learning is an incredible technology that you use more often than you think today and with the potential to do even more tomorrow. The interesting thing about machine learning is that both R and Python make the task easier than more people realize because both languages come with a lot of built-in and extended …

Celebrating Creativity and AI

This Appendix is based primarily on Nilsson's book[140] and written from the prevalent current perspective, which focuses on data intensive methods and big data. However important, this focus has not yet shown itself to be the solution to all problems. A complete and fully balanced history of the field is beyond the scope of this document.

More than six decades after the Turing Test was first proposed it continues to influence artificial intelligence research.

Mathematician Andrew Hodges charts the great achievements and extraordinary private life of British mathematician Alan Turing

Find out about key breakthroughs in the development of AI over 70 years, from the Turing Test to driverless cars