There were 520 paired values collected in the study used to train a machine learning model to estimate glucose values from the radiofrequency sensor data. The remaining 130 pairs were used to test ...

Torc is now sponsoring and collaborating in Stanford University's research to improve machine learning safety. The ...

Machine learning used to create a fabric-based touch sensor. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2024 / 04 / 240417182756.htm ...

This need for training data is driving innovation in process sensors, says Govind Rao, PhD, who is director of the Center for Advanced Sensor Technology at the University of Maryland, Baltimore ...

This article debunks the myths surrounding the application of machine-learning technologies to smart edge devices.

The 10 hottest data science and machine learning tools include MLflow 3.0, PyTorch, Snowflake Data Science Agent and ...

Pulse-driven MEMS gas sensor combined with machine learning for selective gas identification. Microsystems & Nanoengineering 11, 72. DOI: 10.1038/s41378-025-00934-2, https://www.nature.com ...

Using a combination of sensor data, machine learning and physics, MobilePoser accurately tracks a person’s full-body pose and global translation in space in real time.

More information: Shayan Nejadshamsi et al, Development and Feasibility Study of HOPE Model for Prediction of Depression ...

Using a combination of sensor data, machine learning and physics, MobilePoser accurately tracks a person's full-body pose and global translation in space in real time.