If this job is available in multiple locations, by applying to this position you may be considered for the additional locations in your area The Principal Data Scientist will be responsible for designing and implementing processes and layouts for complex, large-scale data sets used for modeling, data mining, and research purposes. This role supports the Advertising Analytics and Audience Measurement team, and interfaces with various marketing, media and advertising functions within AT&T's Entertainment Group. Specific responsibilities and requirements of this opportunity include: · Use data mining techniques to reveal patterns in the data that have implications on the business decisions. Actively promotes good working relationships and collaboration across multiple teams within Big Data and across the enterprise. Ability to interface with and convey technical concepts and approaches to a non-technical/senior management audience Qualifications: · Requires extensive specialized technical expertise · Preferred Masters of Science in Computer Science, Math or Scientific Computing; Data Analytics, Machine Learning or Business Analyst nanodegree; or equivalent experience.

It's not enough for marketers to collect petabytes of data; it takes a sharp mind to make sense of it all. Actually it takes a nonhuman one. That's why artificial intelligence has invaded the marketing world, with Facebook, Google, Salesforce, IBM, Amazon, and others building machine learning into their platforms. Now marketers must understand the lingo if they're going to survive the machines. To help, here's a guide to the terminology around A.I. When a machine teaches itself with minimal programming needed.

Machines are finally getting the best of humans at poker. Two artificial intelligence (AI) programs have finally proven they "know when to hold'em, and when to fold'em," recently beating human professional card players for the first time at the popular poker game of Texas Hold'em. And this week the team behind one of those AIs, known as DeepStack, has divulged some of the secrets to its success--a triumph that could one day lead to AIs that perform tasks ranging from from beefing up airline security to simplifying business negotiations. AIs have long dominated games such as chess, and last year one conquered Go, but they have made relatively lousy poker players. In DeepStack researchers have broken their poker losing streak by combining new algorithms and deep machine learning, a form of computer science that in some ways mimics the human brain, allowing machines to teach themselves.

Researchers from Argonne National Laboratory, using supercomputers at Berkeley Lab's National Energy Research Scientific Computing Center (NERSC), are employing machine learning algorithms to accurately predict the physical, chemical and mechanical properties of nanomaterials, reducing the time it takes to yield such predictions from years to months--in some cases even weeks. This approach could help accelerate the discovery and development of new materials. Using a modeling framework built around a molecular dynamics code (LAMMPS), the research team ran a series of simulations to study the structure and temperature-dependent thermal conductivity of stanene, a 2D material made up of a one-atom-thick sheet of tin. This work, which involved a set of parameters known as the "many-body interatomic potential" or "force field," yielded the first atomic-level computer model that accurately predicts stanene's structural, elastic and thermal properties. The findings were published in The Journal of Physical Chemistry Letters.

Northeastern University professor Mauro Martino is one of the minds behind IBM's Watson News Explorer, a dashboard that allows users to explore the themes surfacing across the news ecosystem. Martino spoke last week at NUVis, Northeastern's Visualization Consortium seminar series, about his work with artificial intelligence -- or machine learning, as he prefers to call it -- and visualization as a path to "accelerate human knowledge." An award-winning design artist and director at the Cognitive Visualization Lab at IBM, Martino shared many insights on how journalists and other professionals can offer more meaningful storytelling by marrying data visualization and artificial intelligence. Martino's research focuses on how information technology relates to exploration and the dissemination of knowledge. Through artificial intelligence and data visualization, he believes people can expand the reality in front of them with complex classification and connections that emerge from computer analysis.

Many bank employees likely fear robots will replace them, but to U.S. Bank's Dominic Venturo, some bots are just there to be their wingman. Much of the talk about artificial intelligence in banking has been about how technology can replace some functions currently performed by humans. But AI could help human bankers do their jobs more effectively by giving them quicker access to relevant information than ever before. "AI won't totally replace, but rather augment, a human's ability to do their job in a lot of ways," said Venturo, the Minneapolis-based bank's chief innovation officer. U.S. Bank is one of a number of financial institutions experimenting with how AI and machine learning can transform the financial industry.

HBO's Westworld features a common plot device--synthetic hosts rising up against their callous human creators. But is it more than just a plot twist? After all, smart people like Bill Gates and Steven Hawking have warned that artificial intelligence may be on a dangerous path and could threaten the survival of the human race. They're not the only ones worried. The Committee on Legal Affairs of the European Parliament recently issued a report calling on the EU to require intelligent robots to be registered, in part so their ethical character can be assessed.

Artificial intelligence is set to take a key role in the design and engineering of new cars, dreaming up lighter, stronger and more complex structures than humans can envision. Just as computing power exceeds the mathematical capability of the human mind, smart software capable of innovation and problem solving is set to push product development into new territory. Hack Rod, a team of designers, engineers, geeks, Hollywood insiders and stunt drivers is working on a way to harness the power of artificial intelligence in tandem with powerful design software produced by Autodesk. Experimenting with connectivity surrounding the emerging "internet of things", the Hack Rod crew built a basic sports car, fitted it with dozens of race car-like sensors, and set about testing, racing and crashing the vehicle. They then fed millions of data points into a computer powered by NVidia processors capable of machine learning, and asked Autodesk's "Dreamcatcher" software to take that information and use it to design a better car.

I don't know about the rest of you guys, but I think these new Anonymous guys are better than the last crop. Everything is fine until they get radios -- and an agenda. We already have the introductions thing down with contact and friend lists. Anonymous - Ron, You can publish your comments as Ron if you want. I've never worked directly in robotics, but I've worked in AI before (and in a way, I do again).