Thermal throttling destroys model training performance but only three laptop brands solved this critical engineering problem ...

In smart grid management, ML enables dynamic control of distributed energy sources, managing real-time energy flows and ...

The results are really astonishing. Tests show that offices save up to 37% on their energy bills with AI-optimized and ...

Objective Early prediction of long-term outcomes in patients with systemic lupus erythematosus (SLE) remains a great challenge in clinical practice. Our study aims to develop and validate predictive ...

One project Monteleoni worked on uses machine learning algorithms to combine the predictions of the approximately 30 climate models used by the Intergovernmental Panel on Climate Change.

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, ...

Memvid revolutionizes AI memory management by encoding text data into videos, enabling lightning-fast semantic search across millions of text chunks with sub-second retrieval times. Unlike traditional ...

This study presents a learning practical nonlinear model predictive controller (LPNMPC) designed to effectively control solar collector fields (SCFs), considering particular challenges due to ...

This work proposes an active thermal management technology that operates ac drive inverters safely at thermal limits to maximize their current and torque capability. For that purpose, the technology ...

Supported thermal cameras: Hti HT-301; Xtherm T3S, thanks to Angel-1024; Xtherm T2L, T2S+, thanks to Christoph Mair and DiminDDL; It's a very simple hacked together lib, might be useful for somebody, ...