What Students Need To Know About AI Degrees Before Picking A Major

From AI majors to traditional STEM degrees, here's what you should study if you want to work in artificial intelligence and ...

SWAU introduces new certificate in machine learning

Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of ...
Tech Xplore

New federated learning algorithm enables private, robust, and fast AI development

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Optimizing RNA design with AI and an Ising machine: Encoding matters

RNA has emerged as one of the most promising molecules in modern medicine, enabling advances from mRNA vaccines and gene ...
BMJ Open

Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findin…

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
Journal of Medical Internet Research

Automatic Grading of Stroke Symptoms for Rapid Assessment Using Optimized Machine Learning and 4-Limb Kinematics: Clinical Validation Study

We trained 2 representative machine learning algorithms, an ensemble and a support vector machine (SVM), to implement auto-NIHSS and auto-MRC grading. The optimized algorithms performed a 5-fold cross ...
IEEE

Obtaining Fuzzy Membership Function of Clusters With the Memristor Hardware Implementation and On-Chip Learning

Abstract: In this paper, we introduce a memristor-crossbar based hardware in order to implement the Clustering Fuzzification Algorithm with on-chip learning capability. The proposed Clustering ...
IEEE

Comparison of Machine Learning Algorithms for Predicting Crime Hotspots

Abstract: Crime prediction is of great significance to the formulation of policing strategies and the implementation of crime prevention and control. Machine learning is the current mainstream ...