Lattice Blog

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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Embedded World 2019

At Embedded World 2019, Lattice Brings AI to the Edge

Posted 03/07/2019 by Dirk Seidel

Last week at Embedded World, the Nürnberg Exhibition Center was abuzz with conversations about today’s hottest tech topic, artificial intelligence (AI), as embedded engineers prowled the show floor looking for ways to quickly and easily add AI support to future products. Lucky for them, Lattice Semiconductor had the solutions they were looking for.

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Architecting Low Power AI

System Architecture Options for On-Device AI

Posted 11/14/2018 by Deepak Boppana

How often is low power the determining factor for success? Certainly when designing solutions for AI inferencing in always-on edge devices, the power consumption must be measurable in milliwatts. Think about it: AI at the edge solves real world problems, and is – or very soon will be – everywhere.

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Use FPGAs to Optimize Always-on, Inferencing Applications

Use FPGAs to Optimize Always-on, Inferencing Applications

Posted 10/08/2018 by Deepak Bopanna

A new generation of AI-based edge computing applications demand a wide range of performance requirements. But how can developers build edge solutions that consume little power and occupy minimal footprint at low cost without compromising performance?

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Home is where AI is

Home is where AI is

Posted 09/04/2018 by Hussein Osman

Very soon most homes will have Siri, Alexa, Google Home or similar. Many already have all three. The acceptance of such sophisticated AI systems as an everyday, normal addition to the living room says much about the human condition to imagine, conceptualize, innovate, experiment with...

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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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CES 2018

CES 2018: Enter the Era of Intelligent Edge Devices

Posted 01/23/2018 by Elena Champion

Were you impressed by the products and technologies showcased at CES 2018? This year’s event promised to “WHOA” attendees with new gadgets from industry giants and startups alike. From the slightly odd to the “where have you been all of my life” devices, this year’s CES focused on infusing intelligence into as many aspects of our lives as possible.

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Functional Safety in Lattice FPGAs

Functional Safety in Lattice FPGAs

Posted 03/29/2016 by David Wang

It is hard to overstate the importance of the modern industrial production line. Virtually every product you own was crafted in whole or in part using this sort of technique. Yet from the earliest days industrialization has brought risks for the workers.

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