If you want high performance AI inference, such as Super-Resolution Object Detection and Recognition, in your SoC the challenge is to find a solution that can meet your needs and constraints. You need ...

What is the optimal approach for 3D object detection? How and why the datasets and metrics generated by academia may not be the best tools for developing real-world applications such as 3DOD. 3D ...

Abstract: As Earth orbit becomes increasingly congested, passive optical sensors remain one of the most important sources of data on space objects across all orbit regimes. However, the resultant ...

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 ...

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 ...

Selecting the right edge device for real-time AI-powered vision is a critical decision that can impact the performance, usability, and versatility of your applications. This comparison between the ...