Come ask Lattice Semiconductor’s experts about using small, low-power FPGAs for accelerating intelligence at the edge. Bring your questions about how much AI can be implemented using milliwatts of power. And ask us about how you can quickly implement efficient […]
12:00 PM
Wearable electronics have started to become part of our daily lives, in the form of watches, wristbands, fitness trackers and the like. Advances in sensor design and in AI processing have made these little helpers more capable. The next level […]
Deploying an AI model at the edge doesn’t have to be challenging—but it often is. Embedded processing vendors have unique sets of software tools for deploying models. It takes time and investment to learn to use proprietary tools and to […]
Cameras coupled with AI can solve numerous real-world problems. But developing an AI camera solution can be a complex and time-consuming undertaking, especially for teams that lack experience in topics like training deep neural networks. IDS Imaging Development Systems, a […]
Monitoring drivers and passengers inside of vehicles is an increasingly critical capability. For example, driver monitoring is required in order for cars to obtain a top safety rating from NCAP. This presentation introduces XPERI’s driver and in-cabin monitoring solutions and […]
Learn how to prototype and deploy deep learning-based vision applications on FPGAs using MATLAB. Designing deep learning networks for embedded devices is challenging because of processing and memory resource constraints. FPGAs present an even greater challenge due to the complexity […]
