Second, for a given problem, one may have to re-design a sequential algorithm to extract more parallelism. In this chapter, we focus on designing fast parallel algorithms for fundamental problems. A ...

Today, we often hear that artificial intelligence will be able to solve almost all of our problems. Medicine will be ...

This self-contained textbook introduces students and researchers of AI to the main mathematical techniques used to analyze machine learning algorithms, with motivations and applications. Topics ...

Through these algorithms the student will be introduced to the analysis of algorithms -- i.e, proving that the algorithm is correct for the task it has been designed for and establishing a bound on ...

Development of more sophisticated ideas in data type and structure, with an introduction to the connection between data structures and the algorithms they support. Data abstraction. Controlled access ...

Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on ...

AI biases can lead to unfair outcomes, perpetuate stereotypes and, ultimately, compromise the integrity of AI systems.

A new AI image tool could aid the development of algorithms to analyze wildlife images to help improve understanding of how ...

Zhang, Shunyuan, Nitin Mehta, Param Singh, and Kannan Srinivasan. "Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb." Marketing Science 40, no.