Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a quantum AI simulator that adopts a hybrid CPU-FPGA method. This system performs ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
6G visions include immersive extended reality, holographic communications, tactile internet applications, and large-scale digital twins. Supporting these services will demand fully autonomous network ...
It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
Abstract: This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in ...
Performance Analysis of Diabetes Disease Prediction Using Machine Learning Classification Algorithms
Abstract: Diabetes is a medical disorder disease that affects our body's food fuel systems. Eating food is converted to glucose and discharged to different body parts through blood and the pancreas ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
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