Scientists at the Binghamton University have developed a predictive algorithm through analysing tweets to forecast an individual’s behaviour well in advance. Systems scientists at the Binghamton University, Sang Won Yoon and Sarah Lam working alongside Nathan Gnanasambandam, also Binghamton alumnus and a senior researcher at the Xerox Research’s Palo Alto

Text mining innovators-in-the-making MonkeyLearn have finally opened their beta version for the public to sign up. The announcement came at TechCrunch Disrupt in San Francisco, on Monday. The cloud-based artificial intelligence platform intends to transform text mining the same way WordPress made content creation available to all, reports VentureBeat. CEO

Pioneers in machine learning for visual recognition and founders of facial recognition software developer Kriegman-Belhumeur Vision Technology (KBVT), Professor Peter Belhumeur and Professor David Kriegman, have been hired by Dropbox. Aditya Agrawal, VP of Engineering at Dropbox told Josh Constine of TechCrunch that Dropbox is in need of such expertise

Whenever someone needs to cite an example of the staggering volume of data generation today, Twitter is called upon. It’s no wonder this is the case- every single minute, 649 new users sign up to the service, and an astonishing 342,000 tweets are created. Handling this vast ocean of data-

Uber’s latest predictive model will deduce where you’re headed and it’ll be accurate 74% of the time. With the use of data analytics, the data team at Uber incorporated classic Bayesian statistics to set up a model that infers “where people ultimately want to go, rather than where people may

In the first part of our interview with Sean Owen, Cloudera‘s Director of Data Science, we discussed the relationship between machine learning and Hadoop, the future of Apache Mahout and why machine learning has become such hot property. In this part of our discussion, we delved into the future of

Baidu is getting closer to finishing the world’s largest computer cluster for deep learning. The system is reported to have 100 billion digitally simulated neural connections conceived by heavy graphics processing units (GPUs). To put things in perspective the human brain has around a hundred trillion neural connections. Five years

Google’s Quantum Artificial Intelligence Lab, in partnership with scientists from several institutes in California, has launched its hardware initiative to design and build new quantum information processors based on superconducting electronics. An alliance between Google, NASA Ames Research Center and the Universities Space Research Association (USRA), the Quantum Artificial Intelligence

Since Microsoft began working with deep learning neural networks in 2009, we’ve seen huge improvements in the way algorithms can detect our language and dialogue. IBM have continued to pour money and resources into the development of Watson; Apple have moved the development of Siri in-house, to improve its NLP

Last week saw the launch of Enlitic, a company that is incorporating deep learning to revolutionize diagnostic healthcare. With the intention of making the enormous trove of medical data that is available today accessible to physicians, Enlitic will provide data in the form of “medical images, doctors’ notes, and structured