Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...
Abstract: Class imbalance occurs frequently in machine learning, particularly in binary classification tasks where the majority class has a significantly larger number of samples than the minority ...
There is indeed a vast literature on the design and analysis of decision tree algorithms that aim at optimizing these parameters. This paper contributes to this important line of research: we propose ...
The classifications and districts for the 2026-30 time block are officially set, and they came with some last-minute adjustments. The executive board and delegate assembly of the Oregon School ...
Vitalik ZK-proofs help make platforms like X fair and secure by verifying algorithm decisions with timestamps and controlled code release. Summary is AI generated, newsroom reviewed. Vitalik urges ...
If you happen to be on a Texas highway sometime this summer, and see a 50,000-pound semi truck barreling along with nobody behind the wheel, just remember: A self-driving truck is less likely to kill ...
Lawmakers and the legal community are raising questions after a Minnesota judge took the uncommon step of overturning a unanimous jury verdict in a massive $7.2 million Medicaid fraud case, a move ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...