Lattice Semiconductor

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Award-winning Lattice sensAI Solutions Stack Further Extends Lead in Ultra Low-power AI at the Edge

Updated sensAI Solutions Stack Delivers Highly Accurate, Low Power AI Solutions for Industrial, Automotive, Compute, and Consumer Applications HILLSBORO, OR – October 23, 2019 – Lattice Semiconductor Corporation (NASDAQ: LSCC), the low power programmable leader, today announced the availability of performance enhancements and new and improved application reference designs for its award-winning sensAI™ solutions stack. […]

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“Accelerate Adoption of AI at the Edge with Easy to Use, Low-power Programmable Solutions,” a Presentation from Lattice Semiconductor

Hussein Osman, Consumer Segment Manager at Lattice Semiconductor, presents the “Accelerate Adoption of AI at the Edge with Easy to Use, Low-power Programmable Solutions” tutorial at the May 2019 Embedded Vision Summit. In this talk, Osman shows why Lattice’s low-power FPGA devices, coupled with the sensAI software stack, are a compelling solution for implementation of

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Lattice sensAI Delivers 10X Performance Boost for Low Power, Smart IoT Devices at the Edge

Award-winning sensAI Solutions Now Supported by Expanded Partner Ecosystem Seamless user experience with support for new neural network models, machine learning frameworks, and faster design cycles New customizable reference designs for popular IoT applications like object counting and presence detection Growing partner ecosystem including design services and full product development to accelerate time-to-market HILLSBORO, OR

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Harnessing the Power of AI: An Easy Start with Lattice’s sensAI

This article was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. Artificial intelligence, or AI, is everywhere. It’s a revolutionary technology that is slowly pervading more industries than you can imagine. It seems that every company, no matter what their business, needs to have some kind of

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Lattice Semiconductor to Host the Vision Industry and Technology Forum – Presented by the Embedded Vision Alliance

Forum to focus on latest developments in the practical use of computer vision in machines that understand their environment using visual means PORTLAND, OR – January 28, 2019 – Lattice Semiconductor Corporation (NASDAQ: LSCC) today announced that as part of its investment in smart vision systems, it will host the upcoming Vision Industry and Technology

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Lattice Semiconductor Demonstration of a Deep Neural Network that Consumes Only ~800 uW

Abdullah Raouf, Marketing Manager for Low Power Solutions at Lattice Semiconductor, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Raouf demonstrates what an ultra-small (2.15 mm x 2.55 mm), $1 USD FPGA is able to do when embedded with the the company’s sensAI BNN accelerator IP. With the demonstrated solution, system

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Lattice Semiconductor Demonstration of Speed Sign Detection Using ECP5 and Machine Learning

JP Singh, Automotive Marketing manager at Lattice Semiconductor, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Singh demonstrates a machine learning CNN implemented using the company’s sensAI stack on a ECP5 FPGA. Singh shows the detection of speed limit signs and the determination of speed limits with a CNN implementation that

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Lattice Semiconductor Demonstration of Object Counting Using ECP5 and Machine Learning

Dirk Seidel, Senior Industrial Marketing Manager at Lattice Semiconductor, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Seidel demonstrates object counting using machine learning with a CNN implementation based on Lattice’s sensAI stack and the ECP5 FPGA. Seidel shows how Lattice’s small form factor, low power and production-priced ECP5 FPGA can

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Lattice Semiconductor Demonstration of Human Presence Detection at the Edge

Tom Watzka, Marketing Manager and Mobile Systems Architect at Lattice Semiconductor, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Watzka demonstrates how the Lattice ECP5 FPGA can support Human Presence Inferencing at the IoT edge. This inferencing engine leverages the Lattice sensAI tool flow to deliver real-time performance with sub-1W power

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“Deep Quantization for Energy Efficient Inference at the Edge,” a Presentation from Lattice Semiconductor

Hoon Choi, Senior Director of Design Engineering at Lattice Semiconductor, presents the “Deep Quantization for Energy Efficient Inference at the Edge” tutorial at the May 2018 Embedded Vision Summit. Intelligence at the edge is different from intelligence in the cloud in terms of requirements for energy, cost, accuracy and latency. Due to limits on battery

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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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