Nature

Probabilistic machine learning and artificial intelligence

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...
Digi Times

Simeon Denis Poisson's work in probability theory underpins modern AI and machine learning applications

The Poisson distribution is widely used in artificial intelligence (AI) and machine learning. In Bayesian inference, probability distributions often help solve problems that would otherwise be ...

MicroCloud Hologram Inc. Releases Next-Generation Quantum Convolutional Neural Network Multi-Class Classification Technology, Driving Quantum Machine Learning Towards ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, has launched a groundbreaking technological achievement—a multi-class classification method based on ...
Nature

Machine learning applications in genetics and genomics

The field of machine learning includes the development and application of computer algorithms that improve with experience. Machine learning methods can be divided into supervised, semi-supervised and ...
InsuranceNewsNet

Findings in Machine Learning Reported from City University of Hong Kong (Predictive Analysis for Healthcare Fraud Detection: Integration of Probabilistic Model and ...

By a News Reporter-Staff News Editor at Health Policy and Law Daily-- Data detailed on Machine Learning have been presented. According to news reporting from Hong Kong, People’ s Republic of China, by ...