Amazon Alexa on-device AI now runs in millions of Echo homes, but Panos Panay’s July 2026 CNBC interview reveals the split: ...

Compact IP67-rated drives and humanoid joint actuators from maxon are designed to simplify robotic system design.

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.

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 ...