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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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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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Person Detection at sub 1 mWatt

Proven Human Presence Simplified

Posted 01/11/2019 by Hussein Osman

With the evolution of SMART cities, homes and factories, there is a multitude of situations that demand accurate proof of the presence of a person…and perhaps his or her positioning and actions. In a modern factory using Industrial IoT (IIoT)/ Industry 4.0 practices, safety must not be left behind.

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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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VIP - Designing Embedded Vision: It’s That Easy

Designing Embedded Vision: It’s That Easy

Posted 05/24/2018 by Dirk Seidel

On the path for faster time-to market and reduced development time and cost, rapid prototyping is required for many electronic designs. To accomplish this task, designers need to reuse existing hardware and software building blocks. The emergence of vision technologies further complicates this path as many design engineers have experience in everything but embedded vision!

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Mobile-Influenced FPGAs Going Broad

Mobile-Influenced FPGAs Going Broad

Posted 04/17/2018 by Hussein Osman

The complexity of implementing intelligent Edge solutions is causing many issues for designers, including accommodating devices with new and legacy interfaces in a variety of applications. Some of these applications also require compute engines capable of processing data collected at low power and cost.

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Form Follows Function – Selecting the Best Lattice FPGA

Form Follows Function – Selecting the Best Lattice FPGA

Posted 04/03/2018 by Gordon Hands

You may be asking yourself, “What does a nineteenth century architect have to do with FPGAs?” A key decision facing many system architects is which FPGA families to use in their next project. Lattice currently offers four classes of FPGAs: iCE, ECP, Mach and CrossLink. It is often tempting to think of FPGAs as just a blank canvas, ready to be filled with digital logic.

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Bringing VR Experiences to Life with Positional Tracking Technology

Bringing VR Experiences to Life with Positional Tracking Technology

Posted 03/20/2018 by Ying Chen

Virtual reality (VR) is more than just captivating displays with fancy 3D graphics. Fluid feedback of users’ gestures, postures, movements and position is pivotal for a complete immersive experience. If the user’s actions cannot be quickly and accurately tracked, it would be impossible to realize the fighting scene...

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Lattice Radiant Software

Lattice Radiant Software: Full-featured Tool Suite for Edge Designs

Posted 03/06/2018 by Choon-Hoe Yeoh

We recently introduced our next generation FPGA design software: Lattice Radiant software. Embracing our corporate mission of enabling edge connectivity and computing designs, the Radiant software was specifically created for the development of edge applications. It is a full-featured FPGA design tool suite and yet simple to use.

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SecuraShot

Designing a Wearable Body Camera with a Wireless Connector

Posted 02/20/2018 by Ehren Achee, CTO at SecuraShot Technologies

We knew what we wanted, but didn’t know how to get to a solution. We wanted to offer police officers a fully connector-less, robust body camera that could be worn throughout an entire work shift and still operate. The issue was that the camera would be capturing a lot of data throughout the day, so getting this information out without a mechanical connector had us scratching our heads. That is, until we learned about Lattice’s Snap short range wireless link technology.

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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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HDMI 2.1 eARC Technology

What is the HDMI 2.1 eARC Feature?

Posted 01/02/2018 by Marshall Goldberg

Have you heard of a new HDMI 2.1 feature called eARC? It will ensure that your AV receiver (AVR) or sound bar will be compatible with future HDMI 2.1 devices, such as TVs, game consoles, set top boxes, and DVD players.

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The Evolution of Computing

The Evolution of Computing

Posted 12/19/2017 by Darin Billerbeck, President and CEO, Lattice Semiconductor

The first “computer” I ever owned was a slide rule. By today’s standards you could say my pencil served as my terminal and the slide rule was my computing agent. People laugh about it now, but my trusty slide rule served its purpose. In the business world, server-based computing was all the rage. Those early systems represented some of the first centralized computing architectures.

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Smart Wireless Broadband Technology for Smart Cities

Smart Wireless Broadband Technology for Smart Cities

Posted 12/05/2017 by Neil Bullock

The next generation of wireless communications equipment will need to be able to integrate with traffic lights, street lights and bus stops. It must become smaller, lighter, low-power. It must also become more modular to accommodate a wide range of services, from 5G to metro Wi-Fi to NB-IO, and make it easier to integrate and deploy in new systems.

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Not Your Father’s FPGA

Not Your Father’s FPGA

Posted 11/21/2017 by Doug Hunter

I keep running into engineers who say “we can’t use FPGAs because they are too big, power hungry, and expensive!” While that’s true for many FPGAs, there are some FPGAs which defy the size, power, and cost stereotype. Thanks to these pioneers, FPGAs are no longer limited to network centers and are now becoming pervasive in edge devices you interact with daily.

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Solving Embedded Challenges

Solving the Embedded Challenge of Too Many Signals and Interfaces

Posted 11/07/2017 by Joel Coplen

Building designs around state of the art microcontrollers and embedded processors brings along a specific challenge: not enough I/Os and interfaces. Today’s embedded systems have more real-time data and control requirements than ever.

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