What dataset features affect machine learning (ML) performance has primarily been unknown in the current literature. This study examines the impact of tabular datasets' different meta-level and ...

In this paper, we propose hybrid consensus algorithms that combine machine learning (ML) techniques to address the challenges and vulnerabilities in blockchain networks. Consensus Protocols make ...

Benevolent by nature, Kartik Jobanputra is a serial entrepreneur and a pro skydiver. He lives life king-size. Founder & MD of smartt-ai.com. Artificial intelligence (AI) and machine learning (ML) are ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...

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 ...

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 ...

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 ...

In a world that's growing more digital and interconnected by the day, fraud has taken on new dimensions, often dealing crippling blows to business. From online transactions to sensitive data ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...