Is creativity a uniquely human trait? Defining the line between human and machine is becoming blurrier by the day as startups, big companies, and research institutions all compete to build the next generation of advanced AI. This arms race is bringing a new era of AI that won't prove its power by mastering human games, but by independently exhibiting ingenuity and creativity. Sophisticated AI is undertaking increasingly complex tasks like stock market predictions, research synthesis, political speech writing--don't worry, this article was still written by a human--and companies are beginning to pair deep learning with new robotics and digital manufacturing tools to create "smart manufacturing." Hod Lipson, professor of engineering at Columbia University and the director of Columbia's Creative Machines Labs, is pushing the next frontier of AI.

Hackathon[3]: "New Realities" examined what's real in the shrinking gap between our physical and digital lives. In terms of existing and emerging technology, reality is whatever we are capable of. We can talk to our TV with Siri, live inside a game with Oculus Rift or travel anywhere through Google Street View. There's never been a time of more reality-challenging innovation, as our Hackathon[3] teams demonstrated in a quick-turn all-or-nothing competition built on the latest forms of what's possible.] "Knack," the winning project, made sales empathy a reality. Knack is a product that demonstrates how artificial intelligence and organic intelligence empower a sales force to sell to the person and not to the script.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

It can take just a fraction of a second to recognise how someone is feeling after first setting eyes on their face. But in this short time, your brain has analysed the facial features, cross-referenced the information and worked out if the person is in a friendly or foul mood – before you are even fully aware. Now researchers have pinpointed the exact region of the brain where this facial decoding takes place, a part of the brain just above your right ear. Researchers have pinpointed the region of the brain where facial expressions are decoded. Using functional MRI scans, neuroscientists monitored brain activity in people's brain as they looked at images of facial expressions.

This is an introductory tutorial on using Theano, the Python library. I'm going to start from scratch and assume no previous knowledge of Theano. However, understanding how neural networks work will be useful when getting to the code examples towards the end. I recently gave this tutorial as a talk in University of Cambridge and it turned out to be way more popular than expected. In order to give more people access to the material, I'm now writing it up as a blog post. I do not claim to know everything about Theano, and I constantly learn new things myself.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Artificial Intelligence has made huge advances in recent years in many areas, including language processing, vision, and machine learning; we are also seeing the emergence of platforms that integrate different kinds of AI, such as IBM Watson (Arria is a Watson ecosystem partner). Within medicine, I see a lot of excitement about using many aspects of AI; of course Natural Language Generation (NLG), but also using predictive analytics to anticipate potential problems, using machine learning to build diagnostic algorithms, using natural language processing to identify relevant research findings, using computer vision to analyze scans, and using robotics to assist surgeons and other clinicians. Natural Language Generation (NLG) software systems generate narratives that summarize, explain, and communicate complex data sets to people. The huge amount of data available in the modern world can overwhelm people; NLG humanizes the flood of data so that it helps rather than overwhelms people. NLG systems use data analysis and artificial intelligence techniques to analyze complex data sets, and computational linguistic techniques to communicate the results of the analysis in a high-quality narrative text.

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display

Support Vector Machines are perhaps one of the most popular and talked about machine learning algorithms. They were extremely popular around the time they were developed in the 1990s and continue to be the go-to method for a high-performing algorithm with little tuning. In this post you will discover the Support Vector Machine (SVM) machine learning algorithm. SVM is an exciting algorithm and the concepts are relatively simple. This post was written for developers with little or no background in statistics and linear algebra.