The healthcare sector is increasingly reliant on digital technologies, demonstrating a strong commitment to using advanced tools for better patient care and more efficient data management. However, ...

This paper comprehensively surveys existing works of chip design with ML algorithms from an algorithm perspective. To accomplish this goal, the authors propose a novel and systematical taxonomy for ...

In recent years, machine learning (ML) algorithms have proved themselves to be remarkably useful in helping people deal with different tasks: data classification and clustering, pattern revealing, ...

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 ...

One of the principal challenges of resource sharing on data communication network is its security. This is premised on the fact that once there is connectivity between computers sharing some resources ...

In the tiny ST54M, STMicroelectronics combines two ARM cores with a hardware accelerator for the PQC algorithms ML-KEM (FIPS-203) and ML-DSA (FIPS-204).