The algorithms provide an exponential speed-up over the best currently known classical algorithms for topological data analysis.

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors.

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

Novel AI algorithm for digital pathology analysis The framework was able to accurately classify different lung tumors Date: May 23, 2022 Source: Boston University School of Medicine Summary ...

Catalog : COMP.4040 Analysis of Algorithms (Formerly 91.404) COMP.4040 — Undergraduate Id: 008095 Offering: 1 Credits: 3-3 Description Development of more sophisticated ideas in data type and ...

Applied Statistics & Statistical Learning Applied statistics and statistical learning (ASSL) is the process of using data relationships and computer models to drive business value, improve ...

Tony F. Chan, Gene H. Golub, Randall J. LeVeque, Algorithms for Computing the Sample Variance: Analysis and Recommendations, The American Statistician, Vol. 37, No. 3 ...

The relation between the Monte Carlo EM (MCEM) algorithm and the data augmentation algorithm is noted. Two modifications to the MCEM algorithm (the poor man's data augmentation algorithms), which ...

Description The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and ...