British department store Selfridges has recruited an 8 foot-tall'upcycling' robot that can 3D-print recycled plastic into personalised designer objects. At Selfridges' store at Oxford Street in central London, the robot will be printing items made of plastic taken from the world's seas. It's creating a variety of designer objects from the plastic, including vases, chairs, stools and lampshades, which can be selected and bought by customers. The items have been designed by Nagami, a Spanish firm specialising in high-end furniture and homeware. The Selfridges' robot is 3D-printing the items through the rest of April, which cost anything from £155 to £830.

Research at the Artificial Intelligence Laboratory of the University of Connecticut is currently focused on a number of projects addressing both fundamental and applied aspects of next-generation expert systems and machine learning. We believe that these next-generation expert systems will have to be based on cognitive models of expert human reasoning and learning in order to perform with the ability of a human expert. Cognitive expert systems should display three characteristics. First, because expert human reasoning and learning rely in part on qualitative causal models and large-scale event-based memory structures, cognitive expert systems should rely on similar knowledge. Second, because human experts are skilled at acquiring knowledge, often through natural language interaction, cognitive expert systems should learn through real-world natural language interaction.

When it comes to handbags, these days there are almost as many ways to jazz up your existing bag as there are new designs. In Selfridges' vast accessories hall in London, you can buy a clip-on set of metal flowers from Louis Vuitton, multi-coloured jangling robots from Prada, and leather tassels at Ted Baker. What customers want, it seems, is a way to stamp a bit of individuality on their purchases. And one new counter at Selfridges will let you go a stage further. At Mon Purse, an Australian brand, you are handed an iPad and samples of leathers, and given the chance to design your own handbag.

Oliver G. Selfridge, an innovator in early computer science and artificial intelligence, died on Wednesday in Boston. The cause was injuries suffered in a fall on Sunday at his home in nearby Belmont, Mass., said his companion, Edwina L. Rissland. Credited with coining the term "intelligent agents," for software programs capable of observing and responding to changes in their environment, Mr. Selfridge theorized about far more, including devices that would not only automate certain tasks but also learn through practice how to perform them better, faster and more cheaply. Eventually, he said, machines would be able to analyze operator instructions to discern not just what users requested but what they actually wanted to occur, not always the same thing. His 1958 paper "Pandemonium: A Paradigm for Learning," which proposed a collection of small components dubbed "demons" that together would allow machines to recognize patterns, was a landmark contribution to the emerging science of machine learning.

Oliver G. Selfridge was born in London 10 May 1926. He studied at the Massachusetts Institute of Technology from 1942-1945, returning postgraduately from 1946-1950. After 2 years at Signal Corps Laboratories at Fort Monmouth, New Jersey, he joined Lincoln Laboratories in Group 34, Communication Techniques, of which he is now Group Leader. INTRODUCTION WE are proposing here a model of a process which we claim can adaptively improve itself to handle certain pattern recognition problems Which cannot be adequately specified in advance. Such problems are usual when trying' to build a machine to Imitate any one of a very large class of human data processing techniques. A speech typewriter is a good example of something that very many people have been trying unsuccessfully to build for some time. We do not suggest that we have proposed a model which can learn to typewrite from merely hearing speech. Pandemonium does not, however, seem on paper to have the same kinds of inherent restrictions or inflexibility that many previous proposals have had. The basic motif behind our model is the Inn of parallel processing.

At the time of the Dartmouth Well, when Digital built the PDP-1, you and we had studied philosophy. Not only conference, there were certain mathematical sat at the console and you wrote your program that, but we also knew McCulloch, who games called Post tag systems.

The development of improved languages and machines was essential. He offered tribute to many early pioneering activities such as J. C. R. Lickleiter developing time-sharing, Nat Rochester designing IBM computers, and Frank Rosenblatt working with Trenchard More was sent to the summer project for two separate weeks by the University of Rochester. Marvin Minsky, Claude Shannon, and never liked the use of "artificial" or It is interesting to speculate informed future work. The attendees of AI was launched not by agreement Dating the beginning of any movement did not come at the same time on methodology or choice of problems is difficult, but the Dartmouth and most kept to their own research or general theory, but by the Summer Research Project of 1956 is agenda. McCarthy emphasized that shared vision that computers can be often taken as the event that initiated nevertheless there were important research made to perform intelligent tasks.

"Organizations today Intelligence concluded its national "This was the fictional characters feelings and attitudes Ebby Adhami of Ernst & Young/UK first AI art exhibition and the first and goals with which "readers" presented National Westminster time this many mobile robots have can interact. Bank's PHAROS program that details ever been together. The invited talks Learning provided a major theme European marketing possibilities for made some exciting new connections. Introduced less I was especially excited by Christopher speaker Oliver Selfridge celebrating than a year ago, it has 135,000 users Langton's survey of'Artificial Life' "the joy of why we're here: to start to currently. It is an example of AI as and Dana Ballard's new approach to understand the mysteries of the marketing tool, he noted, opening a visual perception. The question for us," whole new communications channel showed that machine translation is he declared, "is to know who we are, for the bank. It was, typically, an AI really getting somewhere, and Andrew what makes us grow, think, feel. Other talks included task than knowing the physical knew only that he had a problem, Lawrence Hunter's "AI and Molecular world we live in-and key to the not that AI was the answer.

The International Workshop on Processing Declarative Knowledge was held in Kaiserslautern, Germany, from 1 to 3 July 1991. The workshop was intended as a forum for the presentation of new approaches to processing declarative knowledge, the discussion of procedural versus alternative paradigms, and the issues concerned with efficient processing of realistic knowledge bases. Demonstrations of implemented systems were also announced.

The Sixth Annual Knowledge-Based Software Engineering Conference (KBSE-91) was held at the Sheraton University Inn and Conference Center in Syracuse, New York, from Sunday afternoon, 22 September, through midday Wednesday, 25 September. The KBSE field is concerned with applying knowledge-based AI techniques to the problems of creating, understanding, and maintaining very large software systems.