Why AI That Lives and Learns on the Device Will Save Our Privacy
Seeing Mark Zuckerberg summoned to Washington as a consequence of the improperly accessed personal data of millions of Facebook users by Cambridge Analytica marks a powerful defining moment of 2018 and a pivotal moment in our digital existence. Two fronts have clashed: the fast-moving pack of internet giants, harvesting and mining seas...
IBM Watson AI XPRIZE
The XPRIZE Foundation believes that you get what you incentivize—and that without a target, you will miss it every time. Leveraging these two core observations, the XPRIZE team designs and manages innovative competitions directed toward solving the world’s grand challenges. And now it is turning up amazingly inventive applications of artificial intelligence to do...
NLP Powers Revolutionary Authorship Attribution System
Authorship attribution is not a new trend in human history, nor is it a problem only of recent years. With the spread of literacy, questions of authorship attribution have been raised as early as at the dawn of the last millennia. However, the sense of urgency and demand for high-end...
Machine Learning Projects: A Step by Step Approach
Machine learning is one of the most talked about fields in seemingly every industry spanning autonomous vehicles to health monitoring, financial management to education, robotics to biometrics, surveillance to home automation. Indeed, no industry will go untouched by the many machine learning technologies. The reasons for this boom are threefold:...
Machine Learning with TensorFlow
Remember science courses back in grade school? It might have been a while ago, or who knows – maybe you’re in grade school now, starting your journey in machine learning early. Either way, whether you took biology, chemistry, or physics, a common technique to analyze data is to plot how...
Leveraging Natural Language Processing in Requirements Analysis
Numerous studies (Jonette, Boehm, Rothman, McGibbon, Chigital) have shown that the cost of fixing engineering errors in systems and software increases exponentially over the project life cycle. Couple that with results showing that more than half of all engineering errors originate in the requirements, and you have a compelling argument...
Human-Machine Interaction gets Emotional
You’ve seen it in just about every classic noir film: the disheveled suspect is man-handled into an old wooden chair before a small table in a nondescript, dimly lit room. A bright, harsh light is suddenly turned on and tilted, full glare, into the unshaven face. Then the interrogation begins....
A DARPA Perspective on Artificial Intelligence
DARPA has always been on the forefront of Artificial Intelligence (AI), driving the technology forward. So it’s no surprise that we have some pretty definitive views about where it’s headed. There’s been a lot of hype and bluster about AI, talk about a singularity that will see AI exceeding the...
Introduction to Convolutional Neural Networks
Nine times out of ten, when you hear about deep learning breaking a new technological barrier, Convolutional Neural Networks are involved. Also called CNNs or ConvNets, these are the workhorse of the deep neural network field. They have learned to sort images into categories even better than humans in some...
An Introduction to Computer Vision
We’re delighted and honored to present this five-part series of tutorials on Computer Vision created by Stanford’s Andrej Karpathy. Computer Vision is ubiquitous now, with applications in search, image understanding, apps, mapping, medicine, drones, and self-driving cars. Core to many of these applications are visual recognition tasks such as image...
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