Why One Nation and Pocock teamed up

Pauline Hanson has teamed up with David Pocock and the Greens in a push to bring in changes to a controversial government ...
Healio

Five-grade imaging classification system may reduce primary periphyseal stress injury

A five-grade imaging classification system and diagnostic therapeutic algorithm may reduce the risk for primary periphyseal ...
Hoodline

Berkeley AI Says Routine Heart Test Hides Deadly Warning Sign

Medical decisions are really hard, and I think that’s why AI is so exciting for me,” said Ziad Obermeyer, the study’s lead ...
Intelligent CIO

Classiq and UC Chile launch quantum AI research for biomedical image analysis

Classiq and Pontificia Universidad Católica de Chile (UC Chile) have announced a joint research project to develop hybrid quantum algorithms for biomedical image analysis – assisted by classical ...
TMCnet

MicroCloud Hologram Inc. Develops Approximate Quantum State Preparation and Entanglement-Dependent Complexity Algorithm Technology

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, has announced a groundbreaking achievement of great theoretical and engineering significance: its ...
IEEE

Performance of Classification Algorithms Under Class Imbalance: Simulation and Real-World Evidence

Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...
IEEE

An Alternating Algorithm for Neural Collapse in Deep Classifier Neural Network with Arbitrary Number of Classes

Abstract: Neural collapse describes the optimal learned representation features and their corresponding optimal classifier that globally minimizes the training loss in deep classifier neural networks.
Scientific Research Publishing

Sen, P.C., Hajra, M. and Ghosh, M. (2019) Supervised Classification Algorithms in Machine Learning: A Survey and Review. In: Mandal, J.K. and Bhattacharya, D., Eds., Emerging ...

ABSTRACT: Accurate prediction of malaria incidence is indispensable in helping policy makers and decision makers intervene before the onset of an outbreak and potentially save lives. Various ...
TMCnet

MicroAlgo Inc. Develops Classifier Auto-Optimization Technology Based on Variational Quantum Algorithms, Accelerating the Advancement of Quantum Machine Learning

SHENZHEN, China, May 2, 2025 /PRNewswire/ -- MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO) announced today the launch of their latest classifier auto-optimization technology based on ...