Large Language Models (LLMs) are quickly transforming the domain of Artificial Intelligence (AI), driving innovations from ...

The automotive human-machine interface (HMI) market is becoming a vital component of modern vehicle technology, ...

Many books on artificial intelligence (AI) illuminate the pathologies of AI. These pathologies are created by artificial ...

Abstract: This article presents 3DNN-Xplorer, the first machine learning (ML)-based framework for predicting the performance of heterogeneous 3-D deep neural network (DNN) accelerators. Our ML ...

Using Google Earth imagery and 2019-2022 Sentinel-2 datasets, Chinese scientists have developed a two-stage classification framework to obtain the annual global dataset of solar photovoltaic panels at ...

Abstract: This article introduces a machine learning (ML) framework for the design of space–time-coding digital metasurface elements (STCDMEs), commonly used in reconfigurable intelligent surface (RIS ...

The research team has developed a cohesive framework that integrates interpretable ... More information: Yihan Yun et al, Synergistic Machine Learning Guided Discovery of ABa3(BSe3)2X (A = Rb ...

APPFL, Advanced Privacy-Preserving Federated Learning, is an open-source and highly extensible software framework that allows research communities to implement, test ...

School of Artificial Intelligence and Data Science, Unversity of Science and Technology of China, Hefei 230026, P. R. China Suzhou Institute for Advanced Research, University of Science and Technology ...

The machine learning framework was built on XGBoost, a gradient boosting algorithm well-suited to tabular data, offering robustness with limited datasets while avoiding overfitting. While neural ...