AI Can’t Fix the Student-Motivation Problem

But by this spring, Khan had admitted that the release of Khanmigo was “a non-event” for many kids. Although access exploded, ...
IEEE

Optimized Data Fusion for Kernel k-Means Clustering

Abstract: This paper presents a novel optimized kernel k-means algorithm (OKKC) to combine multiple data sources for clustering analysis. The algorithm uses an alternating minimization framework to ...
www.cs.cmu.edu

15-854: Approximation Algorithms

The area of approximation algorithms is aimed at giving provable guarantees on the performance of heuristics for hard problems. The course will present general techniques (such as convex ...
GitHub

Behrouz-Babaki/COP-Kmeans

usage: run_ckm.py [-h] [--ofile OFILE] [--n_rep N_REP] [--m_iter M_ITER] [--tol TOL] dfile cfile k Run COP-Kmeans algorithm positional arguments: dfile data file cfile constraint file k number of ...
IEEE

Improved K-Means Algorithm for Nearby Target Localization

Abstract: In a multi-source localization system, direction of arrival (DOA) estimation of angles always suffers from errors due to noise interference, sensor position inaccuracies, and other factors.
TechCrunch

Sirona Medical acquires Nines’ AI algorithms to rebuild radiology’s IT from the ground up

Sirona Medical, a company developing an “operating system” for digital radiology, has acquired Nines — a company that has developed FDA-cleared analysis and triage algorithms. This acquisition comes ...
GitHub

OpenSearch Machine Learning Commons

Machine Learning Commons for OpenSearch is a new solution that make it easy to develop new machine learning feature. It allows engineers to leverage existing opensource machine learning algorithms and ...