Lattice Blog

Lattice Extends the Lead in Ultra Low Power at the Edge at Linley Fall Processor Conference

Lattice Extends the Lead in Ultra Low Power at the Edge at Linley Fall Processor Conference

Posted 11/08/2019 by Hussein Osman

At Linley Fall Processor Conference, Lattice shared latest updates to Lattice sensAI™, a solution stack for next-generation smart devices with extremely low power consumption.

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Consumer News from Lattice

Latest Consumer News from Lattice

Posted 11/01/2019 by Lattice Semiconductor

Read the latest consumer news from Lattice: Enhanced sensAI Stack Enables More Accurate, Lower Power Edge Solutions, Free Webinar Explores Low Power AI Design, CrossLink FPGAs Simplify Use of Embedded Vision

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Microsoft Hackathon 2019

sensAI Empowers AI Innovation at Microsoft Hackathon 2019

Posted 09/11/2019 by Abdullah Raouf

Lattice Semiconductor sponsored the Microsoft Sensors Hack, part of the larger 2019 Hackathon event, where Microsoft teams used the Lattice sensAI solutions stack for smart vision systems to create potential use cases for AI and sensors.

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Dealing with Rising Performance Demands at the Edge

Dealing with Rising Performance Demands at the Edge

Posted 08/29/2019 by Hussein Osman

If you’re looking at ways to implement Edge AI, be sure to read about the use cases for the Lattice sensAI solution stack for always-on Edge devices covered at the end of our white paper.

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sensAI 2.0 Blog

Lattice sensAI Delivers 10x Performance Boost for AI on Edge Devices

Posted 05/20/2019 by Hussein Osman

A year ago we launched the Lattice sensAI solutions stack. Since then, the need for AI at the Edge has continued to grow. Consider this statistic from Tractica: by 2025 the market for Edge-based AI chipsets is forecasted to hit $51.6 billion (that’s over three times their forecasted revenues for cloud-based AI chips). Why all the interest in chips that support AI at the Edge?

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AI in Retail

Implementing Low Cost Intelligence in Smart Retail Applications

Posted 04/10/2019 by Dirk Seidel

We’ve published a couple blog posts exploring how support for AI-powered imaging systems in embedded devices operating at the network edge can benefit specific applications in smart factories and smart homes. But embedded vision can also benefit the retail customer experience.

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Meeting Demand for More Intelligence at the Edge

Meeting Demand for More Intelligence at the Edge

Posted 08/21/2018 by Deepak Boppana

Over recent decades system design has evolved from one processing topology to another, from centralized to distributed architectures and back again in a constant search for the ideal solution.

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AI / Machine Learning

Inferencing Technology Stack Shrinks Time-to-Market for Edge Applications

Posted 06/12/2018 by Deepak Boppana

New Technology Promises to Accelerate Deployment of Machine Learning Inferencing Across Mass Market, Low-power IoT Applications

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