Lattice Semiconductor

“Programmable CNN Acceleration in Under 1 Watt,” a Presentation from Lattice Semiconductor

Gordon Hands, Director of Marketing for IP and Solutions at Lattice Semiconductor, presents the "Programmable CNN Acceleration in Under 1 Watt" tutorial at the May 2018 Embedded Vision Summit. Driven by factors such as privacy concerns, limited network bandwidth and the need for low latency, system designers are increasingly interested in implementing artificial intelligence (AI) […]

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“Machine Learning Inference In Under 5 mW with a Binarized Neural Network on an FPGA,” a Presentation from Lattice Semiconductor

Abdullah Raouf, Senior Marketing Manager at Lattice Semiconductor, presents the “Machine Learning Inference In Under 5 mW with a Binarized Neural Network on an FPGA” tutorial at the May 2018 Embedded Vision Summit. The demand for always-on intelligence is rapidly increasing in various applications. You can find cameras that are always watching for anomalies in

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Solving Intelligence, Vision and Connectivity Challenges at the Edge with ECP5 FPGAs

This article was originally published at Lattice Semiconductor's website. It is reprinted here with the permission of Lattice Semiconductor. The rapid rise in the number of sensors that are being integrated into the current generation of embedded designs, as well as the integration of low cost cameras and displays, have opened the door to a

Solving Intelligence, Vision and Connectivity Challenges at the Edge with ECP5 FPGAs Read More +

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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