An AI-driven digital-predistortion (DPD) framework can help overcome the challenges of signal distortion and energy ...

The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for ...

Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any ...

Traditional AI models learn from structured data and are optimized for outcomes like classification, forecasting or ...

Abstract: Quantum Machine Learning (QML) has emerged as a promising frontier within artificial intelligence, offering enhanced data-driven modeling through quantum-augmented representation, ...

Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a Synthetic Biological Intelligence (SBI) ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even artificial intelligence software were all made possible. It is no wonder, then ...

The Society for Financial Econometrics (SoFiE) Summer School is an annual week-long research-based course for PhD students, new faculty, and professionals in financial econometrics. For the first two ...

President Joseph Nyuma Boakai has launched the Excellence in Learning in Liberia (EXCEL) Project—a national program aimed at improving literacy and numeracy outcomes for children in early childhood ...

More aggressive feature scaling and increasingly complex transistor structures are driving a steady increase in process complexity, increasing the risk that a specified pattern may not be ...

Geomodelling and AI Centre, School of Civil Engineering, University of Leeds, Leeds LS2 9JT, U.K.