The world's largest education company is leveraging IBM's Watson platform as it tries to take college tutoring from campus libraries to the virtual world. Pearson is partnering with Armonk, New York-based International Business Machines Corp. to use the Watson artificial intelligence product as an online tutor for college courseware. The companies on Tuesday announced a pilot project that's already underway in the U.S. and is set to expand through 2017 and 2018. Both companies declined to disclose terms, costs or revenue projections from the venture. The project is part of Pearson's efforts to shift its business into the digital age, as it struggles with slumping textbook sales and lower college enrollments in the U.S. IBM is seeking to drive revenue growth by developing practical applications for Watson, its software that wooed the sector five years ago by beating two human champions on the TV game show Jeopardy!

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As artificial intelligence (AI) begins to power more technology across industries, it's been truly exciting to see what our community of developers can create with Watson. Developers are inspiring us to advance the technology that is transforming society, and they are the reason why such a wide variety of businesses are bringing cognitive solutions to market. With AI becoming more ubiquitous in the technology we use every day, developers need to continue to sharpen their cognitive computing skills. They are seeking ways to gain a competitive edge in a workforce that increasingly needs professionals who understand how to build AI solutions. It is for this reason that today at World of Watson in Las Vegas we announced with Udacity the introduction of a Nanodegree program that incorporates expertise from IBM Watson and covers the basics of artificial intelligence. The "AI Nanodegree" program will be helpful for those looking to establish a foundational understanding of artificial intelligence.

If you start feeling a cold or flu coming on this season, you will be able to reach out to IBM's artificial intelligence-fueled Watson to find some answers to your sniffly, coughy questions. GlaxoSmithKline, (GSK) the world's sixth-largest pharmaceutical company, is teaming up with IBM to use Watson to better connect with customers. The London-based company plans to start using Watson Ads in November, enabling people to ask questions by voice or text right through GSK's online ads. Jason Andree, senior brand manager of the Cough and Cold division of GlaxoSmithKline North America, will announce the move at the start of the IBM World of Watson conference in Las Vegas this week. The event, which focuses on changing business through cognitive computing, analytics and big data, runs from today to Thursday.

"The Geospatial Intelligence Certificate, accredited by the United States Geospatial Intelligence Foundation (USGIF) provides education and training in scientific concepts, methods and key geospatial technologies, used in the solution of global problems of human security, including natural disasters, humanitarian crisis, environmental risks, military operations, political violence, public health and challenges in access to food. USGIF's purpose is to promote the geospatial intelligence tradecraft and to develop a stronger community of interest between government, industry, academia, professional organizations and individuals. USGIF is the only organization providing Higher Education accreditation in the GEOINT domain, being a world leader in this field.

IBM's Watson has upended any romantic notions of songwriting by making it a precise formula of inspiration, emotion, musical theory and trends. The AI system's new music algorithm, called "Beat," helped producer Alex da Kid create his first solo EP of four songs, the first of which, Not Easy (feat. X Ambassadors, Elle King and Wiz Khalifa), dropped on Friday. To be clear, IBM's bot didn't write the song, but rather generated "completely new musical scores" that da Kid (who produced singles by Dr. Dre, Rhianna and others) used as inspiration for the tunes. For Da Kid, the algorithms collected music cultural trends and over the last five years, including Nobel Prize speeches, Billboard song lyrics, movie synopses and more.

Alex Da Kid wanted a deeper connection with his audience. But with so many millions out there, he needed a better way to listen to all of them. Watson AlchemyLanguage API helped by analyzing five years of natural language texts including New York Times front pages, Supreme Court rulings, Getty Museum statements, the most edited Wikipedia articles, popular movie synopses and more. Once Watson had learned the most significant cultural themes, Watson Tone Analyzer read news articles, blogs and tweets to find out what people felt about them.

IBM's ground-breaking Watson artificial intelligence software is now, for the very first time, being used to create better semantic targeting for native advertising. A demo is available here: http://preview-25.ayl.io/ As part of the platform, Watson scans all the publisher pages in ADYOULIKE's global network of premium publishers and analyses them in the same way as a human mind would: looking contextually for topics, sentiment and semantics rather than just scanning for simple keywords. This allows the platform to deliver native content in-feed in the most relevant and targeted way possible. Watson looks at where, why and how the existing editorial content on each site is'talking about' subjects and ensures advertisers are dynamically delivering the best native content to fit.

Jonas Nwuke discusses how IBM Watson's cognitive computing will tackle problems that are "uniquely human" At our PSFK 2015 conference, we were thrilled to have Jonas Nwuke of the IBM Watson team as one of our speakers. You're likely to have heard of Watson as the grand champion of Jeopardy!, from pieces about its culinary capabilities, or from PSFK and IBM Waston's Good Data contest, but these are just teases of what's in store for intelligent machines and cognitive systems. With some of the recent forward steps taken by AI and cognitive computing, we wanted to look back on how these technologies are being developed, and where we can still go. "grand challenge" of 2011 served to help prove a hypothesis that humans can create systems capable of navigating ambiguous, confusing, and complex environments like language. As Jonas mentioned, the objective, then, is to build a machine that helps us focus on things that make us uniquely human--"finding inspiration, leveraging creativity, and solving problems by making meaning of the seemingly meaningless."