IBM has acquired XPS, a Watson-based AI chatbot for personal shopping, from software firm Fluid. Expert Personal Shopper (XPS) uses natural language technology to interact with customers while they shop. IBM invested in Fluid in 2014, as part of a $100m fund it established to contribute to Watson-based businesses and applications. 'In addition to retail, we believe, XPS can be leveraged and applied to the digital properties for brands across a variety of industries' – PAUL PAPAS Watson is IBM's signature artificial intelligence (AI) platform and the cornerstone of the company's future in AI-based business processes and services. The XPS solution and several key members of the XPS team will become part of IBM iX (Interactive Experience).

Microsoft unveils Concept Graph: 'It's time AI learned some common sense' Adobe shows glimpse of future at MAX conference, and it's in A.I. Sinequa's Cognitive Search and Analytics Platform Certified for Cloudera Enterprise to Provide ... 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.

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Can we have creative that scales and customizes itself? Chatbots are treated like the simpletons of the artificial intelligence world, overshadowed by movie-trailer-creating Watson and its ilk, or the suggestion engines of huge etailers. But a good implementation of a simple chatbot requires a deft understanding of the interplay between man and machine. And as technology slingshots us forward, the comprehension of this "in-between" space will be a prerequisite for any brand or advertiser hoping to make it in a world profuse with new and amazing digital experiences. When, and how, do we "hand off" the experience from the machine to the human, and vice versa? Programmatic targeting is facing a similar issue, in an industry unsure how the coupling mechanism between man and machine should work.

Which authors of this paper are endorsers? Disable MathJax (What is MathJax?)

This week – a massive investment in the world's first neural prosthetic for human intelligence enhancement, Chinese version of DARPA's Grand Challenge, MIT is ready for Halloween with a horror AI, the self-driving truck delivered a precious cargo of 50 000 beers and more! Bryan Johnson announced he's investing $100M dollars into Kernel, a company that built the world's first neural prosthetic for human intelligence enhancement. Bryan said he did it "in an effort to enhance human intelligence and reimagine our future. Unlocking our brain is the most significant and consequential opportunity in history -- and it's time sensitive." Wired takes a closer look at three teams that were competing at the first Cyborg Olympics – one from exoskeleton race, one from arm prosthetic competition and one that was stimulating paralyzed muscles in a cycling race.

Health care executives from IBM Watson and Athenahealth athn debated that question onstage at Fortune's inaugural Brainstorm Health conference Tuesday. In addition to partnering with Celgene celg to better track negative drug side effects, IBM ibm is applying its cognitive computing AI technology to recommend cancer treatment in rural areas in the U.S., India, and China, where there is a dearth of oncologists, said Deborah DiSanzo, general manager for IBM Watson Health. For example, IBM Watson could read a patient's electronic medical record, analyze imagery of the cancer, and even look at gene sequencing of the tumor to figure out the optimal treatment plan for a particular person, she said. "That is the promise of AI--not that we are going to replace people, not that we're going to replace doctors, but that we really augment the intelligence and help," DiSanzo said. Athenahealth CEO Jonathan Bush, however, disagreed.

Robots are taking over the World. But something that is going to be a game changer is about to take over the world of HR. Artificial Intelligence or AI is coming to an HR department near you and maybe sooner than you think. Artificial intelligence is going to do for HR what the car did for transportation. It's going to transform how we look at data, what data is worth considering and help us to interpret the intricacies of big data.