News

The Birth of A.I.

Waze famously disrupted GPS navigation by crowdsourcing user data from mobile phones, instead of purchasing costly sensors tied to city infrastructure, as Nokia had done before them. Waze then scaled with low overhead costs by using machine learning algorithms to find precise traffic patterns that optimized each user’s route. The end result of this dynamic was massive layoffs at Nokia, and Google’s acquisition of / integration with Waze in 2013.

Demystifying Quantum Gates — One Qubit At A Time

If you want to get into quantum computing, there’s no way around it: you will have to master the cloudy concept of the quantum gate. Like everything in quantum computing, not to mention quantum mechanics, quantum gates are shrouded in an unfamiliar fog of jargon and matrix mathematics that reflects the quantum mystery. My goal in this post is to peel off a few layers of that mystery.

How to play Quidditch using the TensorFlow Object Detection API

Machine Learning Workflow on Diabetes Data : Part 01

This article will portray how data related to diabetes can be leveraged to predict if a person has diabetes or not. More specifically, this article will focus on how machine learning can be utilized to predict diseases such as diabetes. By the end of this article series you will be able to understand concepts like data exploration, data cleansing, feature selection, model selection, model evaluation and apply them in a practical way.

So what’s new in AI?

I graduated with a degree in AI when the cost of the equivalent computational power to an iPhone was $50 million. A lot has changed but surprisingly much is still the same.

Hacking the Brain with Adversarial Images

This is an example of what’s called an adversarial image: an image specifically designed to fool neural networks into making an incorrect determination about what they’re looking at. Researchers at Google Brain decided to try and figure out whether the same techniques that fool artificial neural networks can also fool the biological neural networks inside of our heads, by developing adversarial images capable of making both computers and humans think that they’re looking at something they aren’t.

DNA Sheds Light On Settlement of Pacific

Two genetic studies shed light on the epic journeys that led to the settlement of the vast Pacific region by humans.

The Bayesian Probability Puzzle Solution

When making hard decisions, do you go with your gut or try to calculate the risks? In many cases going with your gut is fine, but the answers to our February puzzle problems show how explicit probabilistic thinking can outperform intuitive estimates. They also highlight the differences between situations where an intuitive approach succeeds and ones where it fails.

Philosophical intuition: just what is ‘a priori’ justification?

Philosophers use the term ‘intuition’ in a slightly different sense than it is used in everyday discourse. Generally speaking, the difference is that philosophical intuitions are based solely on understanding a proposition, while non-philosophical intuitions are not. If a proposition seems true to you simply on the basis of your understanding of it, and not on the basis of empirical evidence, testimony, memory or reasoning, then you are having an intuition in a philosophical sense that it is true.

Paul Allen Wants to Teach Machines Common Sense

The Microsoft co-founder will give $125 million to his nonprofit research lab to help develop technology that adds common sense to artificial intelligence.