Artificial intelligence is everywhere, from smart assistants to medical research. Yet questions remain about reliability, ...

Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management.

This tool can reduce the training time of large-scale machine learning models by half while maintaining performance. This is undoubtedly a significant breakthrough for researchers and developers ...

Discover how Unsloth and multi-GPU training slash AI model training times while boosting scalability and performance. Learn more on how you ...

A recent joint study between Linköping University and the Department of Forensic Genetics and Forensic Toxicology of the ...

Federated learning provides an alternative by enabling local model training on distributed devices, with only model updates shared back to a coordinator. This design preserves privacy, reduces ...

Tax fraud is a persistent global challenge, with annual losses surpassing USD 1 trillion in corporate tax revenue alone. The ...

The global E-learning market size was US$ 214.26 billion in 2021. The global E-learning market size is forecast to reach US$ 1147.6 billion by 2030, growing at a compound annual growth rate (CAGR) of ...

Understanding Robotic Surgery When you hear the term ‘robotic surgery,’ you might picture a sci-fi movie scene ...

Overview  GitHub repositories provide hands-on learning of real-world MLOps workflows.Tools like MLflow, Kubeflow, and DVC show how scaling and tracking wo ...

(1) Integration with Artificial Intelligence and Machine Learning ...

Industrial revolutions have always shaped the evolution of education. As Bangladesh considers meaningful reforms in school ...