Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new ...
Machine learning (ML) could allow drug firms to create predictive process models that optimize development, production, and quality control. But, before embracing ML on the factory floor, ...
A new study published in JMIR Aging developed and tested a new AI model called HOPE which uses Wi-Fi-based motion sensor data ...
Automation experts from Beckhoff, DigiKey and Siemens Digital Industries explain how AI enhances motion control across ...
Senitron Corporation Announces Structured Framework for Building Self-Optimizing Retail Environments
Senitron Corporation announced the release of a structured framework designed to guide retailers in the development of ...
Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.
A NIMS research team has developed a new experimental method capable of rapidly evaluating numerous material compositions by ...
When incidents occur, such as a fall or a temperature anomaly within a care home for example, dashboards need to be able to ...
Morning Overview on MSN
High-throughput hunt finds a new magnetic sensor material
Magnetic sensors quietly underpin everything from smartphone compasses to the stability systems that keep electric vehicles ...
In last-mile delivery, the critical operations occur within minutes of package handoff. Modern vehicles, continuously ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results