AI No GPU Required: Real-Time Inference with Optimized Networks in kvSonata The rise of deep learning ran in parallel with advancements in GPU technology. As GPUs got faster, mostly fueled by the high demand for powerful graphics cards in the world of gaming, researchers started to train the high-capacity neural networks that quickly evolved into the well known CNN architectures of
Real-Time AI Easy-to-Use Real-Time AI Framework The team at KickView is very excited to announce the release of our easy-to-use, real-time AI video and multi-sensor processing framework, called kvSonata!
Deep Learning Choosing a Convolutional Neural Network Architecture for Real-Time Object Tracking (Part 2) This is part 2 of 3 in a series about selecting appropriate network architectures for real-time object tracking. In part 1 we compared the inference speed of various existing object detection networks. Now we turn our attention to accuracy metrics. We will examine some commonly used metrics such as mean
Deep Learning Intelligent RF Spectral Monitoring In this blog, we highlight a number of different spectral monitoring use cases where deep learning can play a key role and show how intelligent spectral monitoring can be applied to a number of different use-cases in the RF domain.
