SEATTLE--(BUSINESS WIRE)--Dato, creator of the popular machine learning platform GraphLab Create (GLC), announced today tools to give scientists, developers and users confidence in machine learning models and predictions. Dato is the first machine learning company to address the industry need for confidence in models and predictions. "Demand for machine learning has spread to large enterprise organizations," said Carlos Guestrin, Dato CEO and Amazon Professor of Machine Learning at University of Washington. "We have more than 80 commercial customers. The need for trust in models and predictions is an indicator of market adoption among established companies."

Is it possible to view the results from the first round of the competition (predicting tournament games from 2012-2015)? Nope, the second round leaderboard replaces the first. We don't keep the first because it's full of submissions with leakage.

Data is big, complex, and growing exponentially in volume. Perhaps most importantly, data is not a fad, and the challenges associated with it are not going anywhere. With organizations inundated with data these days, turning it from liability to asset can be a challenge, with the greatest potential asset being insight. With such a wide availability of data-related tools today, it can be difficult to know where to begin looking for help. This is where HPE Haven OnDemand comes in.

AlphaGo's win follows in the footsteps of the legendary 1997 victory of IBM supercomputer Deep Blue over world chess champion Garry Kasparov. But Go, which relies heavily on players' intuition to choose among vast numbers of board positions, is far more challenging for artificial intelligence than chess.

Martine Rothblatt, the highest paid female CEO in the U.S., founded and runs a biopharmaceutical company, United Therapeutics. She took home 38 million dollars in 2013. Bloomberg's Olivia Sterns sat down with Dr. Rothblatt and her latest invention -- a robot. Bloomberg Television offers extensive coverage and analysis of international business news and stories of global importance. It is available in more than 310 million households worldwide and reaches the most affluent and influential viewers in terms of household income, asset value and education levels.

It could have taken months for the systems administrators at a large bank in Rome to figure out that one of their servers was talking to Facebook, a red flag given that networks in banks don't need to know how many "likes" they've received. And they might not have noticed the streams of data the server then sent to an array of unknown computers. This kind of threat--coming from inside the network, not from outside its firewall--is difficult to detect. According to IT researcher Gartner, it can take an average 229 days for a business to figure out it's been compromised this way. What tipped off the bank's IT department was a little black box containing software from Darktrace, a U.K. startup founded in 2013 by a group of former British spooks and Cambridge University Ph.D.s.

In recent years, deep learning has taken the lead in predictive accuracy in many fields of machine learning, and companies are struggling to keep up with the speed of innovation. Arno Candel demonstrates how successful enterprises can augment simple statistical models with more accurate data-driven models to gain a competitive edge. Arno describes how to build smart applications that include data munging, model training and validation, and real-time production deployment--every step is based on open source code (R, Python, Java, Scala, JavaScript, REST) that runs on distributed platforms including Hadoop, Spark, and standard compute clusters. Arno also presents use cases from verticals including insurance, fraud, churn, fintech, and marketing and offers live demos of smart applications on large real-world datasets in distributed clusters.

A new low-power, "brain-inspired" supercomputing platform based on IBM chip technology will soon start exploring deep learning for the U.S. nuclear program. Lawrence Livermore National Laboratory announced on Tuesday that it has purchased the platform, based on the TrueNorth neurosynaptic chip IBM introduced in 2014. It will use the technology to evaluate machine-learning and deep-learning applications for the National Nuclear Security Administration. The computer will process data with the equivalent of 16 million neurons and 4 billion synapses and consume roughly as much energy as a tablet PC. Also included will be an accompanying ecosystem consisting of a simulator; a programming language; an integrated programming environment; a library of algorithms and applications; firmware; tools for composing neural networks for deep learning; a teaching curriculum; and cloud enablement.

The radio spectrum is a mess: it's congested, expensive and there's no room for expansion. But DARPA has a plan to change that, by building a system where radio waves can work together using artificial intelligence, rather than fighting for space. DARPA launched its latest Grand Challenge last week, and it plans to encourage researchers around the world to develop "smart systems that collaboratively, rather than competitively, adapt in real time to today's fast-changing, congested spectrum environment... to maximize the flow of radio frequency". That sounds exciting, because making radio frequency flow more easily means -- theoretically, at least -- faster data rates, fewer dropped signals, and cheaper connections. How does it plan to do it?

For much of my career I've worked with technologies for handling "structured information" – that is, data that is well-formed, with understood data types and fields, and almost always either generated by a computer of some sort, or coded by people to be easily understood by a computer. This data was, for many years, the most common form of information available to business. Starting about twenty years ago, some new technologies began to emerge which changed things. And today things are very different. Much of the information we create as people – emails, blog posts, web pages, PDF documents, video, audio, and more – is now conveyed or managed by computers.