Online learning went global faster than most course platforms expected. Coursera reports 168 million learners worldwide, the ...

Exhibit Space Secured, 50+ New Exhibitors and Leading Technology Companies Join North America’s Premier Sensors Event ...

Abstract: Federated learning (FL) enables distributed joint training of machine learning (ML) models without the need to share local data. FL is, however, not immune to privacy threats such as model ...

In automation, precision and reliability are no longer optional; they are requirements. For a wide variety of machine types and processes, linear guides provide that accuracy and high-capacity travel.

How to substantially reduce encoder cost while gaining functionality with 44-Turn multi-turn rotary position sensors—retaining count and position during power loss. New technology reduces encoder ...

Abstract: The frequent interactions between quantum computing and machine learning revolutionize both fields. One prototypical achievement is the quantum auto-encoder (QAE), as the leading strategy to ...

This is an automated machine learning pipeline that replaces manual image editing for underwater GoPro images captured during ROV surveys. Converts RAW GPR files to enhanced images matching manual ...

Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for extreme weather and coastal flooding. The approach could also be applied ...

Ph.D. student Phillip Si and Assistant Professor Peng Chen developed Latent-EnSF, a technique that improves how ML models assimilate data to make predictions.

Electroencephalogram-based brain-computer interfaces (BCIs) hold promise for healthcare applications but are hindered by cross-subject variability and limited data. This article proposes a multi-task ...

Precision of rotational and linear measurement underpins motion control systems, and optical encoders are a mainstay in delivering this. Converting mechanical motion into digital signals enables ...