How do you design robots that are aware of their unstructured environments at a consumer price point? Excellent sensing is required but using low cost sensors. By fusing data from multiple sensors and making sure every sensor does multiple jobs […]
Simultaneous Localization and Mapping (SLAM) refers to a class of algorithms that enables a device with one or more cameras and/or other sensors to create an accurate map of its surroundings, to determine the device’s location relative to its surroundings […]
Efficient deep neural networks are increasingly important in the age of AIoT (AI + IoT), in which people hope to deploy intelligent sensors and systems at scale. However, optimizing neural networks to achieve both high accuracy and efficient resource use […]
Neural network encryption is a useful method to secure a company’s IP. This presentation will focus on the design details of an ultra-low-power, scalable neural network core capable of performing inference on encrypted neural networks. Decryption of the neural network […]
Traditional techniques to measure television viewership have relied on active engagement from the audience in the form of button clicks and surveys. Not only do these techniques bias the captured data, they also fail to measure viewers’ attention levels as […]
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