Energy use in healthcare is a growing policy concern. Hospitals account for a significant share of public sector emissions, ...

Abstract: This article considers distributed optimization for minimizing the average of local nonconvex cost functions, by using local information exchange over undirected communication networks. To ...

“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

Marketing today rewards clarity, relevance, and consistency far more than size. ”— Brett Thomas NEW ORLEANS, LA, UNITED ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware acceleration technology that converts the quantum tensor network ...

An important aspect in software engineering is the ability to distinguish between premature, unnecessary, and necessary ...

Knowledge-based economies are increasingly built on data-driven intelligence rather than traditional capital or labor alone.

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

Renewable energy (RE) offers a promising solution to address the electricity shortages in isolated and rural areas. Microgrid (MG) can incorporate various energy sources, including renewable ...

The future of urban green space might be written in code, according to research in the International Journal of ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind Adadelta, why it was introduced as an improvement over Adagrad, and guides you ...