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 blood sample does not have an obvious odor to a person in a lab coat. But to an electronic nose, it can carry a chemical signature that points toward disease.
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...
Companies like Apple and Qualcomm are in the early stages of making on-device AI more useful. Amid all that, the 14-person ...
Borosilicate glass, the same material used in lab equipment and kitchen cookware, can encode data using femtosecond lasers at densities and lifespans no existing archival medium can match, according ...
Umbrella or sun cap? Buy or sell stocks? When it comes to questions like these, many people today rely on AI-supported recommendations. Chatbots such as ChatGPT, AI-driven weather forecasts, and ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
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 ...
Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
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