Lattice Blog

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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Consumer News from Lattice

Latest Consumer News from Lattice

Posted 07/31/2019 by Lattice Semiconductor

Read the latest consumer news from Lattice: Lattice sensAI brings more performance to the edge, Radiant IP and reference design, demo videos from Embedded Vision Summit, industry award and press coverage for sensAI

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Watch the Lattice sensAI Solutions Stack Deliver Low Power Smart Vision to the Edge

Watch the Lattice sensAI Solutions Stack Deliver Low Power Smart Vision to the Edge

Posted 07/10/2019 by Hussein Osman

If you missed the 2019 Embedded Vision Summit, check out the latest sensAI demos from Lattice to and see what smart vision can enable in Edge devices

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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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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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