Climate volatility and rising energy demand have resulted in unprecedented challenges throughout the world. Unfortunately, ...

M4 Mac Mini clusters offer a balance of performance and energy efficiency for distributed machine learning tasks. Unified memory architecture eliminates data transfer overhead and enables ...

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare.

In this article we explore how privacy-preserving distributed machine learning from federated databases might assist governance in health care. The article first outlines the basic parameters of the ...

Not too big: Machine learning tames huge data sets Using a supercomputer, algorithm breaks the exabyte barrier Date: September 11, 2023 Source: DOE/Los Alamos National Laboratory Summary: A ...