JERUSALEM – In the innermost chamber of the site said to be the tomb of Jesus, a restoration team has peeled away a marble layer for the first time in centuries in an effort to reach what it believes is the original rock surface where Jesus' body was laid. Many historians have long believed that the original cave, identified a few centuries after Jesus' death as his tomb, was obliterated ages ago. But an archaeologist accompanying the restoration team said ground penetrating radar tests determined that cave walls are in fact standing -- at a height of 6 feet and connected to bedrock -- behind the marbled panels of the chamber at the center of Jerusalem's Church of the Holy Sepulchre. "What was found," said National Geographic archaeologist Fredrik Hiebert, "is astonishing." The work is part of a historic renovation project to reinforce and preserve the Edicule, the chamber housing the cave where Jesus is said to have been entombed and resurrected.

Huawei boss: Smartphones will be totally different by 2020. Here's what's going to change Rise of the Machines: is Artificial Intelligence Manipulating Our Minds? 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.

Box, a popular cloud storage company for businesses, now employs machine learning to allow its service to peek into files and figure out what they contain. The idea is to let users search for, say, every press release related to a particular product, or the minutes from a string of important meetings, or even photos of the CEO dancing at the last office holiday party. This would be a compelling new way for individuals and companies to search for and organize their data. It also shows the potential for cutting-edge AI techniques to change the nature of everyday office work. Machine learning is fundamentally altering the way many online services and consumer devices work, from Google's search to smartphone assistants.

You have gathered gigabytes or terabytes of unstructured text, for instance scraping the Internet, or pieces of email from your employees or users, or tweets, or millions of products that you want to categorize (only product description and product name is available - sometimes with typos). Now you want to make sense of it, and extract value, possibly design a nice search engine so that your customers can easily find your products. The core algorithm that you need is an automated cataloguer, also called indexer. I am going to explain in layman's terms how it works. First, let's assume that the data consists of Typically, these "pages" are stored as large repositories containing millions or billions of (sometimes compressed) text files spread across a number of folders and sub-folders, or multiple servers.

Talking about the relationship between cyber security and machine learning, we need to first identify a concept change. In the past, cyber security focuses on blocking the intruders from outside of our network, but today, we have to believe that intruders are among us. They have invaded our systems and they are doing or going to do damages to us. Whatever the compromised device or machine is doing, it's acting abnormally. So, cyber security means anomaly detection.

IBM (NYSE: IBM) unveiled "Project DataWorks," a Watson initiative that is a cloud-based data and analytics platform to integrate all types of data and enable AI-powered decision-making. Project DataWorks is designed to make it simple for business leaders and data professionals to collect, organize, govern and secure data, so they can gain the insights needed to become a cognitive business. Businesses today understand the competitive advantage of gaining insights from data. However, obtaining those insights can be increasingly complex, and most of this work is done by highly skilled data professionals who work in silos with disconnected tools and data services that may be difficult to manage, integrate, and govern. Also, because data is never static, businesses must continually iterate their data models and products--often manually--to benefit from the most relevant, up-to-date insights.

Cognitive systems learn from vast amounts of complex, ambiguous information and help us do amazing things, such as treat disease, manage finances, and transform commerce. Underneath these systems, the core fields of science & technology --from artificial intelligence to brain science to computer architecture to cognitive science-- are advancing rapidly and achieving breakthroughs not envisioned even a few years ago. IBM Research and its network of scientific partners are pursuing some of the hardest technical problems while creating practical solutions that make a difference to the world. Accompanied by special guests, Guruduth Banavar will highlight IBM's commitment to advancing the science and technology behind cognitive computing.

Want to watch this again later? Need to report the video? This feature is not available right now. What positives and potential pitfalls do you foresee as we move into a new era with AI? Huawei asks their opinion.

Frankfurt, Germany October 17, 2016 – Aries Systems Corporation today announces the integration of Meta Bibliometric Intelligence into Editorial Manager, Aries' industry-leading manuscript and peer-review tracking system for scholarly publications. The new technology, created by Meta, applies artificial intelligence toward the identification of high-impact manuscripts at the moment of first submission, allowing editors to triage and rank incoming manuscripts. "By incorporating Meta Bibliometric Intelligence into Editorial Manager, we're the first workflow system that helps publishers explore the potential of big data analysis during peer review," said Richard Wynne, Vice President of Sales and Marketing at Aries Systems. Bibliometric Intelligence uses sophisticated machine learning algorithms that were trained using Meta's corpus of millions of full-text articles – a collection that now comprises the largest scholarly text-mining collection on Earth. As newly-submitted manuscripts are processed, hundreds of unique features are pulled from the papers and fed through the algorithms.

In the next five years, every important decision, whether it's business or personal, will be made with the assistance of IBM Watson. Watson, the company's artificial intelligence-fueled system, is working in fields like health care, finance, entertainment and retail, connecting businesses more easily with their customers, making sense of big data and helping doctors find treatments for cancer patients. The Watson system is set to transform how businesses function and how people live their lives. "Our goal is augmenting intelligence," Rometty said. "It is man and machine. This is all about extending your expertise. It doesn't matter what you do. IBM's conference this week, which the company said drew 17,000 attendees, explored how companies, including retailers, educators, human resources departments and financial institutions, amon others, can use Watson. "The challenge IBM has right now is to define the marketplace," said Jeff Kagan, an independent industry analyst, who attended the conference. "Ten years from now, will IBM be the leader?