Rugged hardware and no-code AI empower industrial teams to deploy intelligence where operations run. JACKSONVILE, FL, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Velasea ( a leading OEM system ...
Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
If nonliving materials can produce rich, organized mixtures of organic molecules, then the traditional signs we use to ...
Overview AI enhances farm productivity by detecting crop diseases early and optimizing resource usage efficiently.Livestock ...
A tool for spotting pancreatic cancer in routine CT scans has had promising results, one example of how China is racing to apply A.I. to medicine’s tough problems.
A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...
By combining a custom-built optical instrument with physics-based modeling and machine learning, the study shows that leaf-level optical properties ...
By contrasting nematode infection with drought stress, the study highlights both the potential and limitations of remote sensing for separating ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
A research team has developed a new model, PlantIF, that addresses one of the most pressing challenges in agriculture: the ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Digital condition monitoring is transforming hydropower O&M with AI-driven diagnostics, hybrid architectures, and predictive ...
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