While pregnant with her first child, Rhea Birusingh started experiencing blurry vision that her OB-GYN dismissed as an expected pregnancy-related change, but three months later, she went to her ophthalmologist, who discovered an inoperable 2-centimeter benign brain tumor behind her right eye. Now, nearly four months later, Birusingh's son is healthy and her vision is normal, thanks to a powerful, precise radiation treatment. "When you're a pathologist and your eyes are a money maker, you start to get a little bit worried," Birusingh, 37, of Howey-in-the-Hills, Florida, told FoxNews.com. Doctors at UF Health Cancer Center – Orlando Health decided to use the treatment, called proton beam therapy, because Birusingh's tumor was adjacent to her hippocampus, which is critical for short- and long-term memory and learning. Proton beam therapy works differently from conventional radiation treatments, which rely on X-rays.

Artificial intelligence has been around since 1956 and has made some giant leaps in that time: beating the best human at chess, the best human at US gameshow Jeopardy and recently beating the best human at complex strategy game Go. Brands have only recently started adopting artificial intelligence for core consumer services. Google's voice recognition technology now claims 98% accuracy and Facebook's DeepFace is said to recognise faces with a 97% success rate. IBM's Watson, which uses artificial intelligence to perform its question-answering function, is 2,400% "smarter" today than when it achieved the Jeopardy victory five years ago. There is no doubt that the relationship between men and machines is changing, and brands are on the cusp of making artificial intelligence an everyday element of their customer offerings.

DeepMind acquired startup by Google for 500M established a new collaboration with University of Oxford. The news is announced by Demis Hassabis, co-founder of DeepMind and VP of engineering at Google from a blog-post [1]. Deep learning researchers Prof Nando de Freitas, Prof Phil Blunsom, Dr Edward Grefenstette and Dr Karl Moritz Hermann, from University of Oxford, who teamed up earlier this year to co-found Dark Blue Labs, are hired by DeepMind. Also Dr Karen Simonyan, Max Jaderberg and Prof Andrew Zisserman, one of the world's foremost experts on computer vision systems, and they recently have a start-up called Vision Factory will join DeepMind from University of Oxford[1,2]. The three professors hired by DeepMind are holding joint appointments at Oxford University where they will continue to spend part of their time.

In it, the king of automation made some optimistic predictions about machines creating more jobs than they take away--in retrospect, very prescient. In 1940, the President of MIT, Karl Compton and President Franklin D. Roosevelt clashed over the question. As chronicled by the Times, the president of MIT didn't see a problem whereas the nation's president did. The same year a US senator suggested a tax on machines to offset the unemployment they may cause. "Who will have the last laugh in the gadget age -- man or machine?," asked Pulitzer Prize-winning AP writer Hal Boyle in 1949.

Thanks to a new deep learning system from Yahoo! Research, GIFs are just one more art form--in addition to poetry and calligraphy, to name a few--that computers are quickly mastering. A computer made that all on its own. In fact, not only did a computer make the above GIF, it actually scanned the original video and decided which bits had the highest GIF potential; a video went in, and a slew of appealing GIFs came out. We're on our way to what you could call a fully automated, bean-to-bar, GIF-making solution. Research in New York do, you could call it Video2GIF.

College of Computing Professor Ashok Goel teaches Knowledge Based Artificial Intelligence (KBAI) every semester. And every time he offers it, Goel estimates, his 300 or so students post roughly 10,000 messages in the online forums -- far too many inquiries for him and his eight teaching assistants (TA) to handle. That's why Goel added a ninth TA this semester. Her name is Jill Watson, and she's unlike any other TA in the world. Jill is a computer -- a virtual TA -- implemented, in part, using technologies from IBM's Watson platform.

Cosine Similarity is a measure of similarity between two vectors that calculates the cosine of the angle between them. We have shared data sets, sample code & an example case study in implementing Cosine Similarity. We are looking to find a place to settle down in California. We like a place called Montecito, CA and want to find similar towns & cities to look for places. How would we go about doing it?

This is the fourth article of the "Big Data Processing with Apache Spark" series. Please see also: Part 1: Introduction, Part 2: Spark SQL and Part 3: Spark Streaming. Machine learning, predictive analytics, and data science topics are getting a lot of attention in recent years for solving real world problems in different business domains in several organizations. Spark MLlib, Spark's Machine Learning library, includes several different machine learning algorithms for Collaborative Filtering, Clustering, Classification and other machine learning tasks. In the previous articles in "Big Data Processing with Apache Spark" series, we have looked at what Apache Spark framework is (Part 1), how to leverage the SQL interface to access data using Spark SQL library (Part 2) and real-time data processing & analytics of streaming data using Spark Streaming (Part 3). Compose makes it simple to deploy production-ready databases in minutes in the cloud or on your own servers. In this article, we'll discuss machine learning concepts and how to use Apache Spark MLlib library for running predictive analytics.

WIRE)--TSYS (NYSE: TSS), today announced an agreement with Featurespace, a global leader in adaptive behavioral analytics, that will reduce fraud for its clients with a revolutionary machine learning software platform -- the ARICSM engine -- that monitors every individual -- one customer at a time -- to deliver real-time decision capabilities. "TSYS' collaboration with Featurespace aligns with our overall strategy of integrating with advanced, innovative technology partners to help our clients grow their business, reduce costs, and deliver an exceptional customer experience," said Andrew Mathieson, group executive, issuer product group, TSYS. "We will incorporate these capabilities across the credit risk lifecycle, enabling our issuers to catch more fraudulent transactions while dramatically reducing false-positive alerts for genuine transactions -- a sharp contrast to the industry paradigm of blocking more valid transactions in order to detect actual fraudulent activity." The new agreement allows TSYS to strengthen its position in faster payments by leveraging machine learning to provide clients with actionable insights in real time, using adaptive behavioral analytics that result in operational efficiencies. "TSYS has a long-standing leadership position in authorization processing and fraud management and we are excited to integrate our ARIC engine for TSYS' clients," said Martina King, chief executive officer, Featurespace.

Havas Group has formed an agreement with IBM to form a new practice that will focus on the use of artificial intelligence systems in marketing. The practice will collaborate with clients to identify ways in which IBM's Watson AI technology can be applied to their marketing efforts, followed by software development and campaign execution. During the pilot phase, the practice developed a marketing program for TD Ameritrade which monitored social media sites in order to analyze the sentiments of professional football fans nationally in the United States. The company used the data to select a "most confident fan" to feature in its brand engagement initiatives. According to the agency, this was the first ever program of its type.