Lattice Blog

In the past, Human Machine Interface (HMI) were relatively simple, consisting of buttons, knobs, levers, and static displays designed to control basic functions. Today, HMIs have evolved into sophisticated, context-aware systems that serve as the primary bridge between users and increasingly intelligent machines. Whether embedded in vehicles, Industrial equipment, consumer electronics, or smart infrastructure, modern HMIs must manage a growing array of tasks. These include real-time data vi...

The demand for high-speed data transfer is growing rapidly. With advancements in smart devices, datacenter systems, and software, organizations need data to move quickly through their technology infrastructures while staying adaptable, scalable, and secure. This increase in real-time data transfer puts more strain on systems, leading to higher infrastructural needs. From enhancing cell phone video quality and aiding autonomous vehicles in avoiding crashes to activating smart home security device...

Embedded World is one of the biggest tradeshows in the world, at which Lattice and our ecosystem partners showcase the latest and greatest Lattice FPGA based innovation in a wide range of applications for Automotive, Industrial, and Security applications at the Edge. In case you missed the show, following is a snapshot of our highlights from embedded world 2025. Lattice Wins Embedded Computing Design (ECD) ‘Best in Show’ Award Lattice won the prestigious ECD Best in Show award...

Artificial intelligence (AI) is making its way onto a multitude of applications at a rapid pace. Seventy-three percent of U.S. companies use AI in some aspect of their business and almost a quarter (22 percent) of technology companies are aggressively pursuing integration of AI across a wide variety of devices. As AI continues to permeate modern technology, tailoring on-device AI to meet specific use cases and device requirements becomes imperative as the need for real-time processing, analysis,...

Today, Lattice extended its embedded vision FPGA leadership with the launch of the Lattice CrossLinkU™-NX FPGA family, our latest FPGAs based on the award-winning Lattice Nexus™ platform. CrossLinkU-NX FPGAs build on the best-in-class capabilities of Lattice CrossLink-NX FPGAs, adding a USB interface to help developers design innovative USB-equipped embedded vision and AI solutions for Compute, Industrial, Automotive, and Consumer markets. As part of our launch preparations, we sat ...

As we continue to embrace the fast evolving technology in our daily lives, we must also recognize and mitigate the risks that come with it – particularly when it comes to keeping our information secure. Amidst these technological enhancements and challenges, there are two major trends that stand out: Post Quantum Cryptography (PQC) and cyber resilience. The rapid growth of the IoT ecosystem, fueled in part by the rise of 5G, has created a complex and highly distributed network of devices ...

Embedded World is one of the tech industry’s largest tradeshows focusing on embedded systems ranging from hardware, systems, distribution, application software, and more. We’re excited to share with you the latest Lattice innovations we had on display at the show this year. From cutting-edge hardware to sophisticated software solutions, we collaborated with our ecosystem partners to showcase demos covering a wide range of applications, including Automotive, Industrial, and Security. ...

At this year’s Embedded World 2022, Lattice presented a keynote address by Steve Douglass, head of R&D, the importance of flexibility and adaptability in embedded system design – both at the software layer and the hardware layer – to keep pace with the major technology trends of today and tomorrow. This blog provides a high-level recap of the presentation. We are living in a time in our industry with some of the most profound changes in technology that are fundamentally re...

The importance of AI and ML, the rise of edge computing, and the need for flexible programming in AI. Artificial Intelligence (AI) is one of the biggest buzzwords in the technology industry today and is often thought of in broad terms to describe connected “smart” technology. However, when you think about all the different features enabled by AI and the outcomes AI solutions are designed to deliver, it becomes clear that the AI landscape and AI development is incredibly complex. The ...

Enhancements to version 4.0 of the award-winngin Lattice sensAI solution stack include support for the Lattice Propel design environment and the Lattice sensAI Studio design environment for end-to-end ML model training, validation, and compilation.

Lattice FPGAs are ideal for sensor fusion applications because their programmable fabric can be configured to perform sensor processing algorithms in a massively parallel fashion.

Lattice CrossLink-NX automotive FPGAs can help reduce the overall system cost of automotive smart vision systems for ADAS and in-vehicle infotainment (ICI) applications.

Lattice has released new versions of the Lattice mVision and Sentry solutions stacks with new capabilities to help developers quickly and easily implement embedded vision and firmware security applications.

Lattice Mach-NX secure control FPGAs help datacenters and servers protect, detect, and recover from attacks against system firmware.

Lattice CrossLink-NX FPGAs deliver class-leading low power, instant-on performance, and reliability to compute, industrial, automotive, and consumer applications.

Lattice’s low power, small form factor FPGAs and easy-to-use design software make implementing IoT applications a breeze.

The Lattice sensAI solution stack for always-on Edge AI applications is available on the Lattice CrossLink-NX family of FPGAs to enable fast and easy development of low power, smart visions systems for the industrial, automotive, and IoT markets.

Read the latest consumer news from Lattice: CrossLink reference designs boost design options, CrossLink-NX: unmatched design versatility, Lattice mVision Solutions Stack accelerates embedded vision development.

It’s not so long ago that systems equipped with embedded vision capabilities were physically huge and ferociously expensive. As recently as 10 years ago, few people would have believed that things like home doorbells would be vision-enabled, yet now...

One of the most intriguing new applications of technology is giving machines the ability to see something called machine vision or embedded vision.

I attended Embedded World in Nuremberg, Germany recently and wanted to share some thoughts about the trends and technologies that received the most attention at the show this year.

Read the latest industrial and automotive news from Lattice: CrossLink-NX FPGA brings benefits to Lattice Nexus Platform, Radiant 2.0 adds key enhancement.

One of the truisms of modern business is that as industries mature, they tend to specialize. Customer demands typically become more sophisticated over time and that leads to products optimized to meet those specific needs.

As the leader in low power programmability, Lattice has set the standard for what low power, small form factor FPGAs can do in terms of performance and power consumption. We earned and maintained that position through a culture committed to customer support and consultation. For example, before we began active development of the Lattice Nexus platform, we met over 100 different customer design teams to get their input on the

There is growing interest among embedded vision developers in adding AI/ML technology to their designs to give them the intelligence needed to run applications like object counting or presence detection. However, supporting AI/ML in embedded vision applications can be challenging, particularly as embedded vision applications trend towards increasing complexity.

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.

CrossLinkPlus devices are low power FPGAs featuring integrated flash memory, a hardened MIPI D-PHY and high-speed I/Os for instant-on and flexible on-device programming capabilities, while bringing ready-to-use IPs to accelerate video bridging application development.

Read the latest industrial and automotive news from Lattice: Enhanced sensAI stack packs 10X performance boost, Integrate AI into smart applications, CrossLink FPGA simplifies use of embedded vision, Lattice showcases sensAI at Microsoft Hackathon.

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.

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.

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

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?

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.

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.

It may seem obvious but safer factories are not only a better work environment, they are also more productive. And some of the machine vision techniques that are now being employed to ensure worker safety are also applicable to aid production processes.

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!

Imagine you’ve been given the responsibility to develop a new video bridging solution. Initially, you have a specific application in mind, but as cameras emerge in a growing number of intelligent applications, ranging from object recognition and depth perception to lane detection and collision avoidance, you know you will need prototypes for a wider variety of functions.

The first time I read Isaac Asimov's I, Robot as a teenager, I was instantly fascinated by the humanoid robots in the stories. These machines could see, hear and interact with the surrounding world with human-like abilities. These astonishing capabilities fed my imagination. I even recall asking my dad if these machines could really “see.” Now, as an engineer, I understand the importance of machine vision and the power of "sight” for robotics.

What excites me about technology is its prospects for making human life better. Artificial Intelligence (AI), Machine Learning and Deep Learning hold a lot of promise to do just that, if done in a sensible way.

We live in a world where we heavily rely on wireless. From high-speed data to conduct business transactions to streaming video onto mobile devices, wireless is everywhere. The growth of mobile phones and laptops have put the existing wireless spectrums under strain. And as technology and our personal needs evolve, wireless connectivity needs to keep pace with the growing demand.