We have been hearing a lot lately on the topic of American greatness, where it went, and how to reclaim it. But greatness is complicated, and our ideas of what is great and what is not have changed over time. In this column, I ask what the history of one mighty corporation--IBM--can tell us about the rise and fall of a particular kind of American greatness. Decade after decade, IBM has been one of the world's largest, most profitable, and most admired companies. Of all American businesses, only General Electric, Apple, Microsoft, and Exxon-Mobile have generated more wealth.a Despite recent troubles, it has been ranked in the 2010s as the number one company for leaders (Fortune), the greenest company (Newsweek), the second most valuable global brand (Interbrand), the second most respected company (Barron's) and the fifth most admired (Fortune). IBM technical contributions to computing are second to none. Its researchers won six Turing awards and, more startling, four Nobel prizes. Its engineers produced the first hard disk drive, the first floppy disk drive, the first architecture implemented over a range of diverse but compatible machines, the first widely used high-level programming language, the relational database, the first scientific supercomputer, the first RISC designs, and the first DRAM chip. As recently as 2014, IBM ranked ahead of its old adversary Microsoft on Fortune's lists of the largest U.S. companies (20th place) and of the firms most admired by managers (16th place). In ways good and bad, IBM has been at the forefront of changes in American business and in America's relationships with the world.

This is an area where statistics-and MLbased that cognitive system developers currently address systems can be symbiotic with cognitive systems: the and methodological preferences that they, by and former can provide advanced computation frameworks large, share. For some of the issues, the consensus is while the latter can provide content-related not entirely universal, which is to be expected for a insights into the choice of the inventory of features to group of active developers. Still, the general points of consensus should help to characterize the overall be used in making decisions.

If you AAAI-18 registration information is programs specifically for students, are representing a company, research now available at aaai.org/aaai18, and including the Doctoral Consortium, organization or university and would online registration can be completed at the Student Abstract Program, Lunch like to participate in the job fair, please regonline.com/aaai18. The deadline with a Fellow, and the Volunteer Program, send an email with your contact information for late registration rates is January 5, in addition to the following: to aaai18jobfair@aaai.org Nuance Communications, Inc. is sponsoring and make all the newcomers welcome! the Hilton New Orleans Riverside at The test will be organized, senior women in artificial intelligence. For complete informatio, includes Cynthia Dwork (Harvard / hours of informal mingling. The Job please see aaai.org/Conferences/

The first IEA/AIE conference was organized in 1988 in Tullahoma, Tennessee. Since that time, the conference has been held internationally in many countries including Germany, Scotland, Australia, Spain, Egypt, Hungary, England, Italy, France, Japan, Poland, China, Taiwan, Netherlands, and South Korea. The conference has always been sponsored by ISAI and all conferences have been held in cooperation with AAAI. AI, and Intelligent Systems in Health Care and The focus of the 2017 conference was on research mHealth for Health Outcomes advances in new and innovative intelligent systems' IEA/AIE-2017 also organized two workshops: ASP methodologies and their applications in solving reallife, Technologies for Querying Large-Scale Multiple-complex problems. In many worldwide applications, Source Heterogeneous Web Information, cochaired there is a real need to develop intelligent systems by Odile Papini, Salem Benferhat, Laurent Garcia, that deal with complex, open, and dynamic and Marie-Laure Mugnier; and Computer Animation information systems.

Daniel G. Bobrow (1935-2017) was a research fellow at Xerox's Palo Alto Bobrow was born in 1935 in New York City. AAI Fellow and AAAI past-president Daniel G. attended the Bronx School of Science along with Danny completed his Ph.D. dissertation in 1964 at the The thesis described STUDENT, a revolutionary program that could solve algebra word problems stated in English as found in highschool algebra textbooks. Danny's was one the first theses on natural language understanding -- a topic that would remain a central interest of his throughout his long career. He also was one of the first students at what would later become the MIT AI Lab. The technical report describing his thesis was the first in a series of illustrious research results: Project MAC technical report: MAC-TR-1.

Tomohiro Inoue, an associate professor of economics at Komazawa University, graduated from the Faculty of Environment and Information Studies at Keio University before studying at the Waseda University Graduate School of Economics. His written works include "Jinko Chino to Keizai no Mirai" (Artificial intelligence and the future of the economy). Inoue speaks about the future of jobs in the age of artificial intelligence during an interview with The Yomiuri Shimbun. To what extent will AI be able to do human jobs? Groundbreaking new technologies are coming out, and artificial intelligence is becoming quite practical.

My first thought after reading that sentence was: "Why didn't Amazon recommend me that book when I was buying Camille's?" Then I started reading the Three-Body Problem by Cixin Liu. In the first part of that book they mention another book called Silent Spring, which according to Three-Body, it seems to have been censored by the Cultural Revolution. Without spoiling the story, Silent Spring is a very important element inside the story, up to the point that later I realised the first part of the book is actually called Silent Spring. Inside Three-Body, the book Silent Spring is only mentioned by the characters here and there, and we realise it's important to know about it once we have gone through half the book. While it's not essential to have read Silent Spring in order to understand Three-Body, it seems like quite an interesting book to have. So while reading this I also wondered: "Why didn't Amazon recommend me that book when I was buying the Three-Body Problem?" Finally I've just started reading Nobel Prize winner Svetlana Alexievich's The Unwomanly Face of War, which is an account of the Soviet women that fought during WWII.

A design that takes its cues from natural processes for creation is referred to as biophilic – rather than green design, which is used to keep harm from coming to the environment, biophilic design imitates the processes that allow the natural world to survive. Biophilic design has been used in a 3D printing construction project with living materials before, and now multidisciplinary artist and architect Philip Beesley has used the design philosophy in his latest work, Astrocyte, which was recently displayed at Toronto's EDIT: Expo for Design, Innovation & Technology. Beesley, of Philip Beesley Architect Inc. (PBAI), is a professor at the University of Waterloo's School of Architecture, as well as the director of the Living Architecture Systems Group. "PBAI Studio works with a wide consortium of artists, engineers, scientists, and researchers as a central member of the Living Architecture Systems research group. We explore the possibilities of next generation architecture, responsive environments, digital media and immersive sculpture," Beesley told Farmboy Fine Arts. "So we are asking, how might buildings and our environments begin to know and care about us?

For more than two decades, artificial intelligence and machine learning have been playthings for Amazon.com The digital retailer, after all, has long been in the business of predictive recommendations for consumers. With its cloud-computing subsidiary, Amazon Web Services, Inc. (AWS), the company is now in the business of selling AI and machine-learning capabilities to other businesses. Glenn Gore is AWS's "chief architect" – a title that, in his words, means spending a lot of time in airports. It's the London-based evangelist's job to sell the world on AWS's capabilities, with AI and machine learning among its biggest frontiers.

The quest to give machines human-level intelligence has been around for decades, and it has captured imaginations for far longer -- think of Mary Shelley's Frankenstein in the 19th century. Artificial intelligence, or AI, was born in the 1950s, with boom cycles leading to busts as scientists failed time and again to make machines act and think like the human brain. But this time could be different because of a major breakthrough -- deep learning, where data structures are set up like the brain's neural network to let computers learn on their own. Together with advances in computing power and scale, AI is making big strides today like never before. Get the entire 10-part series on Timeless Reading in PDF.