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Articles 91 - 95 of 95
Full-Text Articles in Technology and Innovation
Algorithms And Automation: Fostering Trustworthiness In Artificial Intelligence, Andrew B. Ware
Algorithms And Automation: Fostering Trustworthiness In Artificial Intelligence, Andrew B. Ware
Honors Theses and Capstones
No abstract provided.
Ai And Jobs: The Role Of Demand, James Bessen
Ai And Jobs: The Role Of Demand, James Bessen
Faculty Scholarship
In manufacturing, technology has sharply reduced jobs in recent decades. But before that, for over a century, employment grew, even in industries experiencing rapid technological change. What changed? Demand was highly elastic at first and then became inelastic. The effect of artificial intelligence (AI) on jobs will similarly depend critically on the nature of demand. This paper presents a simple model of demand that accurately predicts the rise and fall of employment in the textile, steel, and automotive industries. This model provides a useful framework for exploring how AI is likely to affect jobs over the next 10 or 20 …
Country 2.0: Upgrading Cities With Smart Technologies, Steven M. Miller
Country 2.0: Upgrading Cities With Smart Technologies, Steven M. Miller
Asian Management Insights
Advancements in technology are being used to transform our cities into smart cities, but the process is not without its risks.
Online Spatio-Temporal Matching In Stochastic And Dynamic Domains, Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
Online Spatio-Temporal Matching In Stochastic And Dynamic Domains, Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet
Research Collection School Of Computing and Information Systems
Spatio-temporal matching of services to customers online is a problem that arises on a large scale in many domains associated with shared transportation (ex: taxis, ride sharing, super shuttles, etc.) and delivery services (ex: food, equipment, clothing, home fuel, etc.). A key characteristic of these problems is that matching of services to customers in one round has a direct impact on the matching of services to customers in the next round. For instance, in the case of taxis, in the second round taxis can only pick up customers closer to the drop off point of the customer from the first …
Metaheuristic Applications And Their Solutions Quality, Dr. Zahid Hussain
Metaheuristic Applications And Their Solutions Quality, Dr. Zahid Hussain
International Conference on Information and Communication Technologies
Over the past few decades, a wide variety of classes of combinatorial problems (e.g. the assignment problem, the knapsack problem, the vehicle routing problem, etc.) have emerged - from such areas as management science, telecommunication, AI, VLSI design and many others. Many large combinatorial problems are NP-hard problems because of the combinatorial growth of their solution search space with the problem size. Such problems are commonly solved by some version of a prominent metaheuristic (e.g. Genetic Algorithms, Tabu Search, Simulated Annealing and etc.). These heuristics seek good but approximate solutions at a reasonable computational cost. These heuristics are of stochastic …