"Questions are asked and answered every day. Question answering (QA) technology aims to deliver the same facility online. It goes further than the more familiar search based on keywords (as in Google, Yahoo, and other search engines), in attempting to recognize what a question expresses and to respond with an actual answer. This simplifies things for users in two ways. First, questions do not often translate into a simple list of keywords. ...Second, QA takes responsibility for providing answers, rather than a searchable list of links to potentially relevant documents (web pages), highlighted by snippets of text that show how the query matched the documents."
– from Bonnie Webber & Nick Webb. Question Answering. In The Handbook of Computational Linguistics and Natural Language Processing. Alexander Clark, Chris Fox, Shalom Lappin (Eds.). Wiley, 2010.
A dozen or so companies are well-positioned to reap big profits from the burgeoning market for artificial intelligence (AI), Barron's reports. Among these companies are: semiconductor manufacturers Micron Technology Inc. (MU) and Nvidia Corp. (NVDA); Google parent Alphabet Inc. (GOOGL); database management software developer Oracle Corp. (ORCL); online merchant and cloud-computing leader Amazon.com In 1997, IBM scored a major milestone in AI history when its Deep Blue program beat reigning world chess champion Gary Kasparov, still considered by many experts to be the best player of all time. IBM's Watson question answering system passed a high-profile test in 2011, beating two top former champs on Jeopardy!, the long-running quiz show on TV. Since then, Watson has been rolled out for general commercial use, most notably to aid doctors in making diagnoses.
You would be forgiven for thinking that your private conversations were just that, but Google's Voice Assistant could be recording everything you say. The feature is designed to allow users to talk to enabled gadgets to search the web, launch apps and use other interactive functions. As part of this process, Google keeps copies of clips made each time you activate it, but it has emerged that background chatter could be enough to trigger recording. You would be forgiven for thinking that your private conversations were just that, but Google's Voice Assistant could be recording everything you say. This will enable you to see all the information Google has stored on the history of your account.
Taipei, Nov. 2 (CNA) Artificial intelligence (AI) is not destructive, asserted Rob High, International Business Machine (IBM) Watson Chief Technology Officer, at an annual IBM forum held in Taipei Thursday. His remark came in the wake of a United Kingdom's Daily Mail report that Facebook shut down a chat bot experiment after two AI robots developed their own language to communicate. Answering questions at the forum, High said that even though some people may believe that chat bots are learning new languages, he thinks they are simply trying to optimize the language. Humans shouldn't think that AIs will develop consciousness or naturally produce ethics, but they should bear the responsibility to make sure that AIs are being used ethically, said High. Watson is a computer system developed by IBM that is capable of answering questions posed by humans verbally. In 2011, it competed on the popular game show Jeopardy and won first place, beating human contestants.
At this year's Genius of Things (GoT) event in Boston, IBM announced that we are working with Golden State Foods to embrace two big opportunities for growth and change in the food services industry. Golden State Foods are using Watson IoT to assist fleet management and safety for their 2,000 trucks, and creating connected restaurants in over 125,000 locations. To say that Golden State Foods operate on a large scale is something of an understatement. They are one of the largest diversified suppliers to the food service industry, servicing around 125,000 restaurants in over 60 countries from their 50 locations, and producing 400,000 hamburger patties per hour. Many of the restaurants they supply are quick serve and rely on speedy, safe and quality food production and delivery to meet their customers' expectations.
Suncorp has introduced IBM Watson into its online claims system that processes more than 500,000 motor claims every year, to help the insurer better understand the circumstances of the claim and determine liability. Using IBM Watson's Natural Language Classifier, the system analyses customer descriptions of motor vehicle accidents; however, as the descriptions are often written in a conversational way, IBM said they often include colloquialisms and Australian slang that Watson will need to learn in order to properly assist Suncorp. The technology is being used across Suncorp's Personal Insurance brands comprising AAMI, Suncorp, GIO, and Bingle. The platform relies on Watson to conduct liability analysis and assist in fast-tracking simple claims, such as single vehicle incidents with detailed descriptions. However, if the incident description provided by the customer is limited, or there is a low confidence score from the system in determining liability, the claim is routed to a human to help with the decision.
AI taken to another level as IBM Watson analysis data in the sky. IBM is taking to the skies with its latest Watson deployment, with Korean Air using the AI tech to help crews on the ground with aircraft maintenance. Using machine learning, Korean Air wants to increase the safety of their planes by taking advantage of the data collection, analytical ability and AI capabilities of IBM's Watson. IBM's Watson will do this by collating data from technical guidelines, inventory and in-flight incident history to analyse a current or potential future problem. In doing so, it will help to identify the cause of these problems and quickly offer an effective solution.
IBM Watson has partnered with two of Sweden's leading law firms, MAQS and Lindahl, as well as legal knowledge management consultancy, VQ, to build an AI-driven contract review and advice system. The new AI tool, which is called True Agreement, is at present focused on Swedish shareholder agreements and has been trained to identify the type of document, find key clauses and then provide advice on aspects of those clauses as they are surfaced by IBM Watson's natural language processing capability. The new venture was revealed at the VQ forum event in Stockholm, yesterday and is the first joint venture legal AI project of its kind in Scandinavia. Also, MAQS revealed that it is now working with UK legal AI company, Luminance, becoming one of several law firms in the region now making use of the due diligence-focused AI company's platform. MAQS Knowledge Manager, Hans Hedkvist told Artificial Lawyer: 'The idea came about jointly between myself, the head of IT at Lindahl and Helena Hallgarn of VQ.' 'We saw that AI was coming and we wanted to do something in Swedish.