A new open-access cross-domain review maps how the same AI algorithms recur across IoT security, network routing, computer ...

Fully updated to reflect modern developments in the field, the Fifth Edition of An Introduction to Optimization fills the need for an accessible, yet rigorous, introduction to optimization theory and ...

Quantum machine learning has been one of the most tantalizing promises in computational finance: the idea that qubits, ...

Stochastic gradient descent and Adam are optimization algorithms that update model parameters from estimated gradients, but they use different rules for momentum and per-parameter step sizes. This ...

Optimized AI models could help estimate concrete compressive strength in wastewater environments and support future ...

Systems controlled by next-generation computing algorithms could give rise to better and more efficient machine learning products, a new study suggests. Systems controlled by next-generation computing ...

Washington State University researchers use AI to optimize 3D print settings. A new machine learning algorithm has enabled researchers at Washington State University (WSU) to improve 3D printing ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

If you've ever wondered whether an AI feature on your phone is doing anything useful, Ben Khalesi has probably asked the same question. He has covered AI and Android for Android Police since 2023, ...

Machine learning is a subfield of artificial intelligence, which explores how to computationally simulate (or surpass) humanlike intelligence. While some AI techniques (such as expert systems) use ...