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.

Technology is a big part of healthcare. In a 2014 McKinsey survey, more than 75% of patients polled said that they would like to use digital healthcare services, as long as those services meet their needs and provide the level of quality they expect. And yet the healthcare industry lags behind every other sector when it comes to implementing technology. HIPAA Journal writes, "In some cases, the new technology now being introduced by healthcare providers was first introduced in other industry sectors many years ago." A break in that trend has come from the surge of wearable devices.

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.

BakerHostetler became one of the first BigLaw players to publicly license AI technology for use in its firm, when it teamed up with the legal tech company ROSS this summer. The BigLaw firm is putting ROSS's AI technology to work in its Bankruptcy, Restructuring, and Creditor Rights practice, helping attorneys research the law a bit faster. But while BakerHostetler might have been first, it wasn't the last; other big name firms soon followed, bringing AI in to their practices. Plenty of firms are taking a cautious, wait-and-see approach to tech adaptation. It is, even if it's just through client demands.

Conservatives are girding for an extended clash on two fronts in the months ahead: one with a possible Clinton administration and one with Republicans who rejected Donald J. Trump. Megyn Kelly's divergent approach at Fox News took a different turn in her exchange with Newt Gingrich and again raised the question of the channel's future. A lot of healthy people are defying predictions by the Affordable Care Act architects and refusing to enroll, throwing off the calculations behind the system. The startling double-digital declines in TV viewership raise questions about whether the football and soccer leagues have reached their peak. Mr. Beatty's "Rules Don't Apply" is the first film he has written, directed and starred in since "Bulworth" in 1998.

Finding the right piece of data can be a big challenge. With the latest release of Collibra's data governance and data catalog solution, machine learning algorithms help the product learn what types of data you use with the goal of surfacing and recommend new data sources that are appropriate for your job. This use of machine learning is one of the features in Collibra 5.0, the latest release of the company's flagship data governance solution that was formally announced yesterday. The Collibra Catalog is one of applications enabled atop this core platform that hundreds of companies use to keep track of big data sitting in Hadoop, Hive, and other locations. "We have a technology platform that has the capability to keep track of processes around data, the metadata and organizations and roles and who has responsibility for data," says Daniel Sholler, director of product marketing for Collibra.