Abstract: Federated learning (FL) is a privacy-preserving alternative to centralized machine learning, where model training is performed on local devices and only global model updates are shared, ...
A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
Abstract: Many existing surrogate-assisted optimization algorithms are limited to designing antennas with continuous variables only. However, numerous challenges emerge when tackling antenna ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...
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AI ML talent demand grows as startups hire ML engineers and AI engineers for automation
The demand for artificial intelligence and machine learning talent is accelerating as startups increasingly integrate a ...
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