The Ninth International Conference on Machine Learning was held in Aberdeen, Scotland, from 1-3 July 1992, with 198 participants in attendance. The conference covered a broad range of topics drawn from the general area of machine learning, including concept-learning algorithms, clustering, speedup learning, formal analysis of learning systems, neural networks, genetic algorithms, and applications of machine learning. This article briefly touches on six selected talks that were of exceptional interest. Conference organizers were Derek Sleeman (conference chair) and Peter Edwards (local arrangements chair), both of the University of Aberdeen. Since the first machine-learning workshop was held at Carnegie-Mellon University (CMU) in July 1980, meetings have been held regularly, alternating between a more formal conference format and a more informal workshop format.

This article is a reflection on the goals and focus of the Innovative Applications of Artificial Intelligence (IAAI) Conference. The author begins with an historical review of the conference. He then goes on to discuss the role of the IAAI conference, including an examination of the relationship between AI scientific research and the application of AI technology. He concludes with a presentation of the new vision for the IAAI conference. Over the past eight years, this conference has undergone modest evolution, but a significant transformation is being planned for the next meeting.

"Can we actually know the universe? My God, it's hard enough finding your way around Chinatown." "Know then thyself, presume not God to scan; The proper study of mankind is man." The field of AI is directed at the fundamental problem of how the mind works; its approach, among other things, is to try to simulate its working--in bits and pieces. History shows us that mankind has been trying to do this for certainly hundreds of years, but the blooming of current computer technology has sparked an explosion in the research we can now do. The center of AI is the wonderful capacity we call learning, which the field is paying increasing attention to. Learning is difficult and easy, complicated and simple, and most research doesn't look at many aspects of its complexity. However, we in the AI field are starting. Let us now celebrate the efforts of our forebears and rejoice in our own efforts, so that our successors can thrive in their research. This article is the substance, edited and ...

AR&A techniques have been used to solve a variety of tasks, including automatic programming, constraint satisfaction, design, diagnosis, machine learning, search, planning, reasoning, game playing, scheduling, and theorem proving. The primary purpose of AR&A techniques in such settings is to overcome computational intractability. In addition, AR&A techniques are useful for accelerating learning and summarizing sets of solutions. The Fifth Symposium on Abstraction, Reformulation, and Approximation (SARA-2002) was held from 2 to 4 August 2002, directly after the Eighteenth National Conference on Artificial Intelligence (AAAI-2002). It was chaired by Sven Koenig from the Georgia Institute of Technology and Robert Holte from the University of Alberta (Canada) and held at Kananaskis Mountain Lodge, Kananaskis Village, Alberta (Canada) between Calgary and Banff in the Rocky Mountains.

General Issues What is AI all about? In general, I see two possible answers to this question. First, AI can be seen as a modern methodological tool now being used in the ancient enterprise of the study of mind. It also usually means getting a machine to do what previously only humans have done before (rather than simply improving existing techniques). There are really only three reasons to "do" izI From the scientific point of view, you should do 2I because you are interested in the mind From the technological point of view, you should do AI because you The dispute between these formalists, and more intuitive researchers, has been referred to by me (elsewhere) as the neat/scruffy distinction.

Universal basic income (UBI), an unconditional allowance afforded to all citizens for the bare essentials of life, is an old idea that's garnered support from members of both the left and right. Notable supporters have been as disparate as civil rights activist Martin Luther King, Jr. and libertarian economist Milton Friedman. The Nixon Administration even attempted to pass a basic income guarantee through Congress and failed only narrowly due to a disagreement as to how much the stipend should be. Now, the debate over universal basic income is being renewed by industry leaders and billionaires who include Mark Zuckerberg, Richard Branson and Elon Musk, among others. As automation approaches, the world is faced with the problem of displacement.

"It was good to see the number of student attendees up," noted American Association for Artificial Intelligence (AAAI) President Tom Mitchell, "and that our attendance was so high despite the economic downturn. I think the meeting was even more stimulating because of the co-location of AAAI with so many other conferences in Edmonton at the same time." This article provides a few snapshots of the vast and varied content of the 2002 conferences. Proceedings of AAAI-02 and IAAI-02 are available from AAAI Press (www.aaaipress.org). AAAI is grateful for the outstanding work of the conference committee members as well the support of the following organizations for this year's conference: Association of Computing Machinery SIGART, Alberta Informatics Circle of Research Excellence (iCORE), Defense Advanced Research Projects Agency (DARPA), NASA Ames Research Center, the National Science Foundation's Directorate for Computer and Information Science and Engineering (CISE), and the Naval Research Laboratory.

AAI's Nineteenth National Conference on Artificial Intelligence (AAAI-04) filled the top floor of the San Jose Convention Center from July 25-29, 2004. The week's program was full of recent advances in many different AI research areas, as well as emerging applications for AI. Within the various topics discussed at the conference, a number of strategic domains emerged where AI is being harnessed, including counterterrorism, space exploration, robotics, the Web, health care, scientific research, education, and manufacturing. Counter-Terrorism / Crisis Management / Defense--For decades, the Department of Defense has been a major funding source for AI research. Since the tragedies of September 11, there has been a new urgency to develop and field AIbased systems to aid the intelligence, defense, and emergency response communities.

The Fifth Annual AAAI Mobile Robot Competition and Exhibition was held in Portland, Oregon, in conjunction with the Thirteenth National Conference on Artificial Intelligence. The competition consisted of two events: (1) Office Navigation and (2) Clean Up the Tennis Court. The first event stressed navigation and planning. The second event stressed vision sensing and manipulation. In addition to the competition, there was a mobile robot exhibition in which teams demonstrated robot behaviors that did not fit into the competition tasks.

U.S. drone sales in 2017 topped $1 billion for the first time ever, but don't raise a glass too quickly if you're in New Jersey, where lawmakers on Thursday are poised to outlaw drunken droning. It is one of a wave of U.S. states moving to bring the unmanned aircrafts' high-flying fun back to earth. New Jersey's Assembly on Thursday is slated to vote on a Senate-approved bill to ban inebriated or drugged droning, as well as outlaw flying unmanned aircraft systems over prisons and in pursuit of wildlife. The bill would impose a punishment of up to six months prison and a $1,000 fine for'drunk droning'. New statistics set for release next week show 3.1 million drones were sold in the United States last year, up 28 percent from 2016, said Richard Kowalski, manager for Consumer Technology Association.