Microsoft has launched Image Customizer for Azure Linux, a fast open-source tool to build secure, tailored images in minutes.
A research team has developed a novel deep learning approach that significantly improves the accuracy of assessing plant leaf disease severity, a key step toward precision agriculture.
Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, ...
A research team led by the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has built and ...
In the era of AI-powered discovery, two hundred milliseconds is not performance detail, it is discoverability itself. The ...
Abstract: Agricultural remote sensing community is increasingly focusing on enhancing crop mapping accuracy by improving data-driven machine-learning model structures, yet ignoring impact of ...
Abstract: We introduce a physics-informed machine learning (PIML) algorithm based on a feed-forward neural network (FFNN) to estimate surface soil moisture from limited in situ measurements and ...
This workshop deploys an Azure AI Foundry hub & project, a traditional Azure Machine Learning workspace, and supporting resources (Storage, Key Vault, App Insights, Container Registry, Cognitive ...
The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...
Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
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