A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.
A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...
There are no established treatment options for patients with meningioma recurring after surgery and radiotherapy.
Fintech Paas Platforms Market size is expected to be worth around USD 1,667 bn by 2034, growing at a CAGR of 15.8% during the ...
Announced at CES 2026, AMD's latest Ryzen mobile processors will crunch up to 60 trillion AI operations per second, with the ...
Overview: Computer science roles stay relevant because digital services depend on stable, secure systems.High salaries ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...
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From individuals to crews, AI brings teamwork into construction productivity analysis
Researchers at National Taiwan University have developed an AI system that recognizes construction activities at both the ...
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