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Artificial Intelligence Targets Advertising by Understanding User

The company has licensed two artificial intelligence programs from NASA’s Jet Propulsion Laboratory that will enable Beyond Limits to target digital marketing with far greater precision. A number of years ago, SHINE and C Language Integrated Production System-a popular expert-system tool also created by NASA-were benchmarked executing the same test knowledge bases. CLIPS executed about 40,000 rules per second with a 20-megabyte memory footprint, while SHINE executed the same knowledge base at 100 to 300 million rules per second with just a 20- to 30-kilobyte memory footprint, demonstrating “Tremendous performance improvements over anything else out there,” James says. James says SHINE has been used to solve problems in cybersecurity, has been embedded in appliances, and has performed diagnostics for instrumented systems, robotics, and security systems, among others. The company set to work, making improvements to the software, especially SHINE, and figuring out how to use it to target online advertising to individual users. Rather than simply remembering that a user once bought something from a particular store or pushing content based on words a user has typed, the software seeks to understand a person’s intent at a given time and push relevant content, Abdallat says. “Clearly, artificial intelligence, rule-based systems, and natural language understanding were the natural tools and building blocks for this capability,” he says. In 2014 Google spent $400 million to acquire Deep Mind, a company that hadn’t even created a product yet but employed some of the world’s foremost experts in a cutting-edge field of artificial intelligence known as “Deep learning.” “This is a market where artificial intelligence capability is taking a major role,” Abdallat says of the online media and advertising business. Companies are losing interest in billboards and print advertisements, and the only advertising sector that’s growing is digital marketing. The surest way to boost that number is through better-targeted advertising, Abdallat says. According to the licensing agreement, the Agency is entitled to any improvements Beyond Limits makes to the software, and James says the company has made upgrades, particularly to SHINE, making it significantly more sophisticated.
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Artificial Intelligence

Seeking an Artificial Intelligence Analytics Senior Manager to build and drive Artificial Intelligence opportunities in the UK and Ireland. With your goals in mind, the next step for any artificial intelligence or machine learning solution is to specify ​how to achieve a specific goal or set of goals, and finally what the end result will be. Read this engaging overview of a report from the Stanford University 100 year study of Artificial Intelligence, “a long-term investigation of the field of Artificial Intelligence and its influences on people, their communities, and society.” We have an ever-increasing understanding of brain processes, which may help to foster the development of an AGI. What You Are Too Afraid to Ask About Artificial Intelligence: Machine Learning – Dec 7, 2016. Given the ongoing explosion in interest for all things Data Science, Artificial Intelligence, Machine Learning, etc. Has Deep Learning become synonymous with Artificial Intelligence? Read a discussion on the topic fuelled by the opinions of 7 participating experts, and gain some additional insight into the future of research and technology. At the Machine Intelligence Summit in Berlin last week, Jeremy Wyatt, Professor of Robotics and Artificial Intelligence at University of Birmingham, was asked a few questions about his work in mobile robot task planning and manipulation. The confluence of data flywheels, the algorithm economy, and cloud-hosted intelligence means every company can now be a data company, every company can now access algorithmic intelligence, and every app can now be an intelligent app. IBM has taken a solid stride in the direction of Artificial Intelligence by unveiling its supercomputer IBM Watson, learn what it can do, its adopters and what it holds for the future. Learn about the biggest developments of 2015 in the field of Artificial Intelligence. A two-day conference on Data Science, big data, machine learning, artificial intelligence & predictive modeling discussions -“For professionals” by professionals. Stanford students show NSA metadata can find medical, financial conditions; Machine Learning in 7 Pictures ; Social Networks are investing big in Artificial Intelligence; 7 Key Skills of Effective Data Scientists.
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History of artificial intelligence

Demonstration of the first running AI program, the Logic Theorist written by Allen Newell, J.C. Shaw and Herbert Simon. 1952-62 Arthur Samuel wrote the first game-playing program, for checkers, to achieve sufficient skill to challenge a world champion. Teddington Conference on the Mechanization of Thought Processes was held in the UK and among the papers presented were John McCarthy’s “Programs with Common Sense,” Oliver Selfridge’s “Pandemonium,” and Marvin Minsky’s “Some Methods of Heuristic Programming and Artificial Intelligence.” 1961 James Slagle wrote the first symbolic integration program, SAINT, which solved calculus problems at the college freshman level. 1963 Thomas Evans’ program, ANALOGY, written as part of his PhD work at MIT, demonstrated that computers can solve the same analogy problems as are given on IQ tests. First successful knowledge-based program for scientific reasoning. First successful knowledge-based program in mathematics. First International Joint Conference on Artificial Intelligence held in Washington, D.C. 1970 Jaime Carbonell developed SCHOLAR, an interactive program for computer-aided instruction based on semantic nets as the representation of knowledge. Early 70’s Jane Robinson & Don Walker established influential Natural Language Processing group at SRI. 1971 Terry Winograd’s PhD thesis demonstrated the ability of computers to understand English sentences in a restricted world of children’s blocks, in a coupling of his language understanding program, SHRDLU, with a robot arm that carried out instructions typed in English. Earl Sacerdoti developed one of the first planning programs, ABSTRIPS, and developed techniques of hierarchical planning. The Meta-Dendral learning program produced new results in chemistry the first scientific discoveries by a computer to be published in a peer-reviewed journal. Early 90’s TD-Gammon, a backgammon program written by Gerry Tesauro, demonstrates that reinforcement learning is powerful enough to create a championship-level game-playing program by competing favorably with world-class players.
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