There is a seductive narrative sweeping through the telecom industry right now. It promises that if we feed enough petabytes of logs, traces, and configuration data into a massive Transformer model, ...

Understanding the differences between probabilistic and deterministic AI will help manufacturers make more informed choices and achieve measurable results. As professionals become interested in using ...

For more than three decades, modern CPUs have relied on speculative execution to keep pipelines full. When it emerged in the 1990s, speculation was hailed as a breakthrough — just as pipelining and ...

Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, Netherlands The rapid growth of large-scale neuroscience datasets has spurred diverse modeling strategies, ranging ...

ABSTRACT: This study presents the Dynamic Multi-Objective Uncapacitated Facility Location Problem (DMUFLP) model, a novel and forward-thinking approach designed to enhance facility location decisions ...

There’s been great interest in what Mira Murati’s Thinking Machines Lab is building with its $2 billion in seed funding and the all-star team of former OpenAI researchers who have joined the lab. In a ...

Abstract: Accurate forecasting of distributed photovoltaic power plays a crucial role in ensuring the safety and stability of an active distribution network. However, most existing research on ...

Supercomputers gobble up tens of billions of clues to predict the path of a hurricane, everything from the smallest raindrop to the most raucous thunderstorm, temperatures from the sea’s surface to ...