Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...
A conversation with Professor Miraz Rahman, Head of the Department of Drug Discovery at King’s College London.
Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...
Let's discuss why AI-powered data management is becoming essential in industrial automation and how organizations can build it successfully.
SAN DIEGO, Feb. 18, 2026 /PRNewswire/ -- Ultra I&C led a live, multi-company demonstration showcasing a fully digital sensor-to-effector kill chain, from threat detection to classification to ...
GeoCue will showcase the new add-ons at Geo Week 2026, where attendees can learn about licensing, see workflow examples and ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
Introduction: By issuing work-break reminders, for example, personal assistants for cognitive load could be beneficial in maintaining health and life satisfaction in society. Wearable sensors ...
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