NIT Jamshedpur hosts ICADCML 2026, highlights global research in distributed computing and machine learning   | Education ...

In a world where urban traffic congestion and environmental concerns are escalating, innovative solutions are crucial for creating sustainable and efficient transportation systems. A groundbreaking ...

MLI is an Application Programming Interface (API) designed to address the challenges of building machine learning algorithms in a distributed setting based on data-centric computing. Its primary goal ...

Federated Learning (FL) has gained significant attention as a novel distributed machine learning paradigm that enables collaborative model training while preserving data privacy. However, traditional ...

The new capabilities are designed to enable enterprises in regulated industries to securely build and refine machine learning models using shared data without compromising privacy. AWS has rolled out ...

Ease of use, more big data than ever, and a proliferation of libraries and toolkits helped machine learning leap ahead for many Until recently, machine learning was an esoteric discipline, used only ...

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 ...