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BOSTON: Artificial Intelligence (AI)-powered bots will become the next interface, shaping our interactions with the applications and devices we rely on and Microsoft's latest solutions are set to change the way HP interacts with its customers and partners, Indian-born Microsoft CEO Satya Nadella has said. "Bots are now learning in human context and the relevant thing for us is to make them intelligent as we learn from customers' experience. Our solutions are going to give HP a 360-degree view of its customer services," Nadella announced at HP's Global Partner Conference (GPC) 2016 at the Boston Conference and Exhibition Centre (BCEC) here. HP announced a six-year agreement to deploy Microsoft Dynamics customer relation management (CRM) online in order to enhance collaboration across marketing, sales and service operations. With Dynamics, as well as Azure, Office 365 and other Microsoft Cloud solutions, HP has invested in the sales and service collaboration platform to deliver a seamless sales experience for customers and partners.

Hayles: In my view, machines are "real things," so I don't see an engagement with machines as in any way antithetical to contemporary reality. I do think it is important not to elide the very real differences that exist between humans and machines, especially the different embodiments that humans and machines have. Certainly I think that Albert is correct in insisting that virtual reality will never displace the three-dimensional world in which our perceptual systems evolved; the richness, diversity, and spontaneity of this immensely complex environment makes even the most sophisticated computer simulation look like a stick world by comparison. Where I differ, perhaps, is in seeing the situation not as a dichotomy between the real and virtual but rather as space in which the natural and the artificial are increasing entwined. I foresee a proliferation of what Bruno Latour calls "quasi-objects," hybrid objects produced by a collaboration between nature and culture--genetically engineered plants and animals, humans who have had gene thereapy, humans with cybernetic implants and explants, intelligent agent systems with evolutionary programs who have evolved to the point where they can converse in a convincing fashion with humans, and so forth.

Doctors at Oxford University made medical history recently by successfully completing the first robot-assisted intraocular surgery. Robert MacLaren, Professor of Ophthalmology at the university, and his team managed to gently peel off a 1/1000th millimeter membrane from the inside of a patient's eye. To do so, the team relied on a cutting-edge medical device known as the Robotic Retinal Dissection Device, or R2D2. The R2D2, developed by Dutch medical robotics firm Preceyes BV, is designed to perform keyhole surgery, entering and exiting the eyeball through a single, sub-millimeter hole. What's more, it's built to be exceedingly steady, especially given the tight tolerances within which it works.

NTT Resonant Inc., the operator of Japanese web portal goo, said this week it has started a service using artificial intelligence to provide love-life advice. The corevo AI developed by the NTT group will answer questions related to love affairs asked through Oshiete goo, a user-driven question-and-answer community site. By analyzing more than 30 million questions and answers previously submitted by users, corevo will find out appropriate advice and convey it with human-like expressions. AI technology has "strength in quickly providing different answers customers are seeking," said Masahiro Wakai, president and chief executive officer of NTT Resonant. Wakai said the company intended to utilize the technology in areas other than love.

SAN FRANCISCO--(BUSINESS WIRE)--Today Seal Software unveiled a new version of its leading contract discovery and analytics solution: Version 5.0. The new version introduces "Analyze This Now" (ATN), an add-in for Microsoft Word that allows business users to leverage Seal's powerful contract data extraction and review capabilities from within the familiar MS Word interface in order to shorten contact cycle times, reduce risk and lower processing costs. The release also extends Seal's machine learning framework and interface so Seal's technology can be used by business users to train the system for complex data extractions, improving extraction speed, accuracy and shortening time-to-value. "Seal Version 5.0 was developed with business users in mind, allowing them to easily harness the power of Seal without extensive education or resources. We want those closest to the business objectives in procurement, legal, M&A, and sales to use our system without extensive training and data management skills," said Ulf Zetterberg, co-founder and CEO of Seal Software.

Modern radar and communications systems can subtly and quickly change their character, making them harder for U.S. aircraft and other platforms to jam or spoof. That reality is prompting DARPA to lead industry teams to apply artificial intelligence to electronic warfare. The U.S. military developed its current approach to EW in the 1960s and 70s when it studied enemy systems to identify their vulnerabilities. It then came up with countermeasures to disrupt them, which went into a sort of tactical EW "playbook." "Cognitive EW is being developed to deal with the unexpected."

The first introductory textbook on LCS algorithms (authored by Will Browne and myself) will be published by'Springer' this fall: (link will be found here once it's available) To follow research and software developed by Ryan Urbanowicz PhD on rule-based machine learning methods or other topics, check out the following links.

Cyber criminals are quite adept at stealing data, money and privacy. No network is off limits as they exploit any point of weakness they find in businesses, homes, institutions, automobiles, utility networks and other portals. And their tactics evolve faster than security professionals can manage them. The question is, can we leverage technologies such as artificial intelligence (AI) and cognitive computing to win the war against cyber criminals? Cybersecurity experts shared their thoughts on this topic.

Do models or offline datasets ever really tell us what to do? Most application of supervised learning is predicated on this deception. Imagine you're a doctor tasked with choosing a cancer therapy. You could think hard about the problem and come up with some rules. But these rules would be overly simplistic, not personalized to the patient or customer.