Researchers combined deep learning with high-resolution physics to create the first Milky Way model that tracks over 100 ...

Local AI models offer privacy and zero subscription costs, letting you run powerful models completely offline. Here's how to ...

Yoshua Bengio, considered by many to be one of the godfathers of AI, has long been at the forefront of machine-learning ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

The kidney is one of the body's most vital organs, responsible for filtering waste, balancing electrolytes and maintaining overall health. Any impairment to its function can lead to serious and often ...

Researchers explored how machine learning and quantum computing can be used to improve early detection of chronic kidney ...

A machine learning model using routine lab data at 3 months postdiagnosis accurately predicted mortality or liver transplant risk in autoimmune hepatitis.

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

The Francis College of Engineering, Department of Electrical and Computer Engineering, invites you to attend a Doctoral Dissertation Proposal defense by Masoumeh Farhadi Nia on: "Machine Learning for ...

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