This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...
The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...
This figure illustrates the difference between digital and physical attacks in the context of remote sensing. It is observed that: • For physical attacks, the attacker manipulates either the actual ...
AVENTURA, Fla.--(BUSINESS WIRE)--Safe Pro Group Inc. (Nasdaq: SPAI) (“Safe Pro” or the “Company”), a leading provider of artificial intelligence (AI) solutions specializing in drone imagery processing ...
Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications. Among the ...
AI detects objects in images by using computer vision techniques that analyze the visual features of an image. The process typically involves using a convolutional neural network (CNN) to identify ...
Microsoft improved the object detection capabilities of its ML.NET machine learning framework for .NET developers, adding the ability to train custom models with Model Builder in Visual Studio. ML.NET ...
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