The exponential growth in network users and applications, coupled with increasing dependence on networked systems, has elevated network security to a paramount concern for service providers and ...

Extreme Learning Machines (ELMs) represent a class of rapid‐training algorithms for single‐hidden‐layer feedforward neural networks that assign random weights to input and hidden layers and determine ...

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 ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...

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 ...

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 ...