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There are many types of neural networks being employed by machine learning practitioners today. In this blog we look three specific types of neural networks, to broaden our understanding of how different topologies and layers can solve different problems. We then look at how neural networks generated with TensorFlow, can run hardware-accelerated inference on the edge with Qualcomm® Snapdragon™ mobile platforms.
Are you finding it expensive to move into mixed reality (MR) development? Nreal is showing that you don’t need to spend big bucks just to get started.
“Robot” is a Czech word meaning “assistant” or “worker.” For nearly 100 years, people have been perfecting robots for applications as diverse as industrial assembly, food preparation, household assistance and autonomous vehicles for land, sea and air.
Most robots are designed to automate the execution of a dirty, dull, dangerous or difficult task. They have built-in intelligence and are capable of working on their own or with minimal human intervention.
Mixed reality (XR) experiences like virtual meetings with holographic telepresence were once relegated to science fiction, but are now becoming a reality. This is due to the convergence of technologies like our recently-announced Qualcomm® Snapdragon™ XR2 5G Platform, and new perception technologies that mimic how humans gain awareness and capture non-verbal communications (e.g., facial expressions and body language).
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