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A collection of 4 posts

No GPU Required: Real-Time Inference with Optimized Networks in kvSonata
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

  • KickView
KickView Jun 4, 2019 • 4 min read
Easy-to-Use Real-Time AI Framework
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!

  • KickView
KickView Apr 4, 2019 • 4 min read
Choosing a Convolutional Neural Network Architecture for Real-Time Object Tracking (Part 2)
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

  • KickView
KickView Jan 26, 2018 • 10 min read
Intelligent RF Spectral Monitoring
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.

  • KickView
KickView Nov 16, 2017 • 8 min read
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