Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth. - facebook/prophet ...

For bionic underwater robots, it is a great challenge for depth control due to model uncertainty and strong nonlinearity. To this end, we propose a data-driven model predictive control (MPC) approach ...

A new AI model learns to "think" longer on hard problems, achieving more robust reasoning and better generalization to novel, unseen tasks.

The convolutional neural networks (CNN) have shown promising results for various classification problems over the past years. However, selecting various CNN architectures is still challenging as each ...

AI is surging. Quantum is maturing. Data centers have moved from back-end utilities to frontline strategic infrastructure.

SBC News speaks with Kiril Dragomirov, Director of Platform Engineering at Delasport about their successful platform ...

Experts from General Motors, Zoom and IBM discuss how their companies and customers consider AI model selection.

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

New Agentforce Command Center provides a complete observability solution for optimizing AI agents — enabling leaders to manage, track, and scale how AI agent activity enhances human productivity ...