Dr. Bin Li received a bachelor's degree in computer science from Huazhong University of Science and Technology, Wuhan, China, and a bachelor's degree in economics from Wuhan University, Wuhan, China, in 2006. He earned a PhD degree from the School of Computer Engineering of Nanyang Technological University, Singapore, in 2013. He completed the CFA Program in 2013 and is currently an associate professor of finance at the Economics and Management School of Wuhan University. Dr. Li was a postdoctoral research fellow at the Nanyang Business School of Nanyang Technological University. His research interests are computational finance and machine learning.

General Motors Co. GM -0.06 % is enlisting digital smarts from International Business Machines Corp. IBM 0.62 % 's Watson artificial intelligence technology in an effort to leapfrog other tech companies angling for a role inside the car. The auto maker on Wednesday is unveiling a new version of its OnStar system to offer mobile-commerce services beyond navigation and entertainment. The system, dubbed OnStar Go, is designed to learn from users' behavior to deliver personalized offers from partners such as Exxon Mobil Corp. XOM 0.43 % For instance, the system might alert drivers who need fuel to make it to their next destination and point the way to Exxon Mobil stations en route. IBM CEO Ginni Rometty talks about how her company has changed its focus as the world has changed.

Big data is streaming into businesses all over the Internet from various data sources like sensors, social media data, excel spreadsheets, reviews, customer data, etc. There are many companies like Google, IBM, Amazon, and Microsoft helping businesses process big data by building Machine Learning APIs so that organizations can make the best use of the machine learning technology. Machine Learning is the big frontier in big data innovation but it is daunting for people who are not tech geeks or data science domain experts.Similar to how standard APIs help developers create applications, Machine Learning APIs make machine learning easy to use, for everyone. Machine Learning APIs abstract the complexities involved in creating and deploying machine learning models so that developers can focus on data munging, user experience, design, experimenting and delivering insights from data. In the early days, machine learning algorithms and technologies were mostly used by scientists, tech geeks or domain experts.

Don't know where to start? If you are looking for something more, you could look here for an overview of MOOCs and online lectures from freely-available university lectures. Of course, nothing substitutes rigorous formal education, but let's say that isn't in the cards for whatever reason. Not all machine learning positions require a PhD; it really depends where on the machine learning spectrum one wants to fit in. Check out this motivating and inspirational post, the author of which went from little understanding of machine learning to actively and effectively utilizing techniques in their job within a year.

Futurewei Technologies Inc. (DBA Huawei R&D) is a U.S. Based branch of Huawei Technologies Co. Ltd., the leading global information and communications technology solutions provider. Established in 1988, Huawei Technologies is a private high-tech enterprise specializing in research and development, the production and marketing of communications equipment, and providing customized network solutions for telecom carriers in fixed, mobile, and data communications networks. Through our dedication to customer-centric innovation and strong partnerships, we have established end-to-end advantages in telecom networks, devices and cloud computing. We are committed to creating maximum value for telecom operators, enterprises and consumers by providing competitive solutions and services. Our products and solutions have been deployed in over 170 countries, serving more than one third of the world--s population.

Facebook's giving away servers for AI: So what does it get in return? Facebook is distributing 22 high-powered GPU servers to 15 research groups across nine European countries. Just east of the Belgium capital, Brussels, Marian Verhelst's microchip research group at the University of Leuven anxiously awaits a large shipment of supercomputing servers from Facebook's Silicon Valley headquarters. Verhelst, an assistant professor of electrical engineering at the university known as KU Leuven, plans to employ the deep-learning potential of these computers to help develop more advanced processors. As part of a global research partnership to stimulate artificial-intelligence research into deep learning, Facebook is donating 22 GPU-accelerated computer servers to researchers in nine countries across Europe.

The possibility that a malevolent artificial intelligence might pose a serious threat to humankind has become a hotly debated issue. Various high profile individuals from the physicist Stephen Hawking to the tech entrepreneur Elon Musk have warned of the danger. Which is why the field of artificial intelligence safety is emerging as an important discipline. Computer scientists have begun to analyze the unintended consequences of poorly designed AI systems, of AI systems created with faulty ethical frameworks or ones that do not share human values. But there's an important omission in this field, say independent researchers Federico Pistono and Roman Yampolskiy from the University of Louisville in Kentucky. "Nothing, to our knowledge, has been published on how to design a malevolent machine," they say.

The incredible potential of chatbots lies in the ability to individually and contextually communicate one-to-many. One-to-Many Communication: There are plenty of tools out there that allow us to communicate one-to-many at this point in history. These tools, including everything from basic mailers to email marketing to social media, make it easy to reach a large audience and target groups within that audience all at the same. But, for the most part, these tools do not allow us to communicate with people on an individual level. Individual Communication: Reaching mass amounts of people at the individual level is something that hasn't been around for very long.

New York University's Center for Data Science is at the cutting edge of fields with revolutionary implications such as machine learning, natural language processing, computer vision and intelligent machines. Because computing speed is critical to accelerating experimentation and advancing research, the center's Computational Intelligence, Learning, Vision and Robotics (CILVR) lab recently acquired a NVIDIA DGX-1 AI supercomputer to fuel this work like never before. The CILVR lab has "unsupervised learning" as its focus. The lab's faculty, research scientists and graduate students are developing techniques that allow machines to learn from raw, unlabeled data by, for example, observing video, looking at images or listening to speech. These techniques are then applied to computer vision applications like self-driving cars that can understand the environment around them, medical image analysis that can detect tumors or disease earlier and more accurately than traditional methods, and natural language processing that can translate languages, answer questions or hold a dialogue with people. "The DGX-1 is going to be used in just about every research project we have here," said Yann LeCun, founding director of the NYU Center for Data Science and a pioneer in the field of AI. "The students here can't wait to get their hands on it."

GM Wants IBM's Watson AI To Sell You Stuff While You Drive GM's Infotainment Systems Are About to Get Watson's Artificial Intelligence Artificial Intelligence: Computer Says Yes! Stay up-to-date on the topics you care about. We'll send you an email alert whenever a news article matches your alert term. It's free, and you can add new alerts at any time.