Gibaldi and his colleagues have since analysed several open-access MOF databases commonly used for machine learning and found ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ('HOLO” or the 'Company'), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...

Dr. James McCaffrey of Microsoft Research presents a full demo of k-nearest neighbors classification on mixed numeric and categorical data. Compared to other classification techniques, k-NN is easy to ...

The hidden Markov model (HMM), a statistical model widely applied in machine learning, has proven effective in addressing various problems in ...

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to ...

Demand forecasting remains one of the most complex challenges in retail management. As consumer behavior evolves rapidly, ...

CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...

The researchers argue that the integration of explainable AI into clinical decision-making pipelines could reshape cancer ...

SOUTH SAN FRANCISCO, Calif.--(BUSINESS WIRE)--insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to ...

insitro, a pioneer in machine learning for drug discovery and development, today announced a new collaboration with Eli Lilly and Company (Lilly) to develop advanced machine learning models that can ...