In R. B. Banerji and M. D. Mesarovic (Eds.), Theoretical approaches to non-numerical problem solving. Berlin: Springer-Verlag, 303-343.

Arguably the first article discussing the uses of AI in the law beyond straightforward information retrieval.Although the computer has worked its way out of the laboratory and into common experience, lawyers have made slim progress towards finding useful computer applications. Research in artificial intelligence, a branch of computer science, has illuminated our capacity to use computers to model human thought processes. This research suggests that computer science may assist lawyers in both the study and performance of their reasoning processes. In this Article we will argue that the time has come for serious interdisciplinary work between lawyers and computer scientists to explore the computer's potential in law.Stanford Law Review vol.23, no.1, November, 1970

This paper explores new approaches to the symmetric traveling-salesman problem in which 1-trees, which are a slight variant of spanning trees, play an essential role. A 1-tree is a tree together with an additional vertex connected to the tree by two edges. We observe that (i) a tour is precisely a 1-tree in which each vertex has degree 2, (ii) a minimum 1-tree is easy to compute, and (iii) the transformation on “intercity distances” cij → Cij + πi + πj leaves the traveling-salesman problem invariant but changes the minimum 1-tree. Operations Research, 18, 1138–1162.

Russian Mathematical Surveys, 25, 221-262

In Linguaggi nella Societ`a e nella Tecnica, pp. 189– 224. Edizioni di Comunit`a.

See also: ACM Digital Library.CACM 13 (1):15-30

Full text available for a fee. The main purpose of the research reported here is to show that a new and more powerful type of computer-assisted instruction (CAI), based on extensive application of artificial-intelligence (AI) techniques, is feasible, and to demonstrate some of its major capabilities. A set of computer programs was written and given the name SCHOLAR. Due to its complexity, only the conception and educational aspects of this system (including an actual on-line protocol) are presented in this paper. IEEE Transactions on Man-Machine Systems MMS-ll:190-202

Russian Mathematical Surveys, 25, 221-262

Artificial Intelligence and other smart technologies are used to empower businesses from every industry, regardless of location. Moreover, smart technologies help companies gain an advantage in front of their competitors, so they are changing the business landscape at an increasing speed. Therefore, today we'll have a look at some of the most innovative and useful AI-based products that help businesses stay competitive and get the lead in their niche. While the logistics industry benefits from a wide range of sensors and GPS-enabled devices, the product that brought the most improvements is the AI-based dash cam for trucks. This product is mounted on a truck's dashboard and has a wide range of features that allow fleet managers to monitor drivers and optimize routes. Due to these devices, trucks get in fewer traffic accidents, transport speed has improved, and costs have dropped.

Over the past few years, there has been a growing interest in statistics and machine learning. Today, machine learning can help us make smarter decisions, and big data controls everything in our lives. It influences how we work, shop and do business. Data even help the police determine when and where the next crime is likely to happen. But how is it all happening and how did it all start?