Lattice Blog

Everyone, it seems, is now talking about how they’re planning to integrate AI into their devices, their factories, their workflows and, well, everything. But how they actually plan to make that happen isn’t always clear. Part of the challenge, of course, is that different workloads and different environments require different types of solutions. For those looking to integrate AI-powered capabilities into edge computing-based offerings, there are a relatively broad range of ways to ac...

Human-machine interfaces (HMIs) are rapidly evolving, driven by trends such as Automotive personalization, sustainable always-on interfaces, hygienic touchless user interfaces (UI), consistent user experience (UX) across platforms, voice activation, and Industrial automation for labor and safety needs. Regardless of their specific drivers and/or use cases, modern HMIs must be smarter and more dynamic – shifting from command-based to context-aware systems that bridge the human-machine...

Robots have rapidly evolved from science fiction into a cornerstone of modern industry. Today’s autonomous systems can execute complex tasks with minimal human oversight – transforming how we work, live, and move. But achieving this level of intelligence and reliability in real-world environments requires more than just advanced software. It demands robust hardware, deterministic processing, and scalable system architectures that can support safe, real-time decision-making under dema...

Edge AI is reshaping how machines interact with the world, bringing intelligence closer to the data source and enabling real-time, context-aware decision-making. In Automotive and Industrial environments, this shift is driving smarter sensors, automation, and enhanced Human-Machine Interfaces (HMI). But deploying AI at the edge comes with constraints: limited computing capacity, strict power budgets, and compact hardware footprints. In our latest LinkedIn Live panel discussion, Lattice expert...

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...

Designing modern embedded systems often means working within tight constraints such as limited space, low power budgets, and increasing performance demands. Whether it's powering smarter factory automation, enhancing in-vehicle intelligence, or enabling low power AI at the edge, developers need flexible, efficient, and secure programmable logic solutions. This is why we’re excited to announce the expansion of our small FPGA portfolio with new additions to the Lattice Certus™-NX ...

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...

Edge AI — implementing AI models on Edge devices to process algorithms locally rather than in a centralized computing location, like the cloud — has garnered significant attention as one of the fastest developing areas of artificial intelligence. Calculated at roughly $21 billion USD in 2024, the Edge AI market is expected to reach over $143 billion by 2034. This signals a sustained focus across industries on the development of AI-powered Edge systems. New opportunities for Edge AI ...

As with many types of devices, it’s easy to fall into the trap that bigger chips are better and more impactful than smaller semiconductor devices. In the case of FPGAs (Field Programmable Gate Arrays) however, it’s often the smaller versions that have the largest range of applications and the most influence. Small FPGAs are used across a huge range of devices, applications, and industries because they reliably perform critical functions that are essential to the speedy operation of m...

Lattice Developers Conference 2024, held from December 10-11, was a hybrid event for which over 6,000 global industry leaders, technology experts, and enthusiasts signed up to explore the latest advancements in low power FPGA solutions. The two-day conference had a packed agenda with a robust lineup of keynotes, breakout sessions, and technology demonstrations, highlighting innovative applications of FPGAs across a variety of sectors. Keynote Highlights The conference kicked off with the opening...

In the rapidly evolving landscape of technology, the shift from cloud-centric to edge-centric innovation is reshaping how data is processed and utilized. This transition is driven by the increasing need for AI at the Edge, sensor to cloud connectivity, and resilient security. FPGAs are leading the way in this transformation, offering unparalleled flexibility and performance. These versatile devices are being integrated into a wide range of applications, from datacenters to edge devices, enablin...

Are you ready to be at the forefront of FPGA innovation to uplevel your system design and development game in the era of ever-evolving AI, security, and connectivity landscape? Explore related trends, challenges and opportunities, and discover the latest low power FPGA solutions at Lattice Developers Conference! Taking place December 10 – 11, 2024, in a hybrid format, Lattice Developers Conference is back with an exciting lineup of keynotes, breakout and training sessions, and state-of-th...

AI is evolving at a rapid pace not just from continued technology advancements, but also by various industries’ demands and requirements. With the surge of Large Language Models (LLMs) and Generative AI, the industry is grappling with the intense compute capabilities these cloud-based AI applications require to process big data, as well as train and deploy advanced AI models. Now, the industry is seeing AI being implemented into client devices including PCs and smartphones, and Edge applic...

Smart cameras are gaining widespread adoption in our technology-driven world. These standalone vision systems are equipped with sensors, computing power, and AI-driven decisioning capabilities, and do more than just capture images – they extract information and execute actions. Consider this: In 2022, the smart camera market was valued at $3.48 billion, but projections indicate it will soar to $8 billion by 2031. With an unprecedented deployment of AI-powered smart cameras, the demand for ...

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. ...

Every year, PC manufacturers introduce an array of new laptops packed with the latest technologies and features, all designed to deliver great user experiences. Historically, these came in the form of form factor innovations, screen enhancements, and user interface improvements. However, the growing popularity of AI (artificial intelligence) and ML (machine learning) has opened a new world of possibilities and PC manufacturers and ecosystem giants are all looking for ways to add these advance ne...

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...

On-device AI inference capability is expected to reach 60% of all devices by 2024, according to ABI Research. This underscores the rapid speed of AI innovation to take place in the last few years that has required engineers to come up with flexible design models as they transition from the cloud to the edge. The trend is driven by advances in ultra-low latency, security, bandwidth limitations, and privacy. Lattice FPGAs and software solutions help enable acceleration of future models with exist...

The global smart toy market is projected to grow to nearly $70 billion by 2026, per Transparency Market Research. Smart toys take a variety of shapes, like electronic pets, robots, smart train kits, and more. When you hear the word toy, you likely automatically think these are for kids, however some are developed specifically targeting older generations. The current senior toy marketplace contains products that range in utility from providing companionship to increasing cognitive skills to facil...

The AI/ML revolution continues to gain traction across multiple applications, particularly Edge applications. Edge devices like security cameras, robots, industrial equipment, Client PCs, and even toys can now support AI/ML capabilities that provide users with new capabilities and experiences. According to industry analyst firm ABI Research, the Edge AI chipset market “has experienced strong growth in the past and is expected to continue to grow to US$71 billion by 2024, with a CAGR of 31%...

Combining Micron LPDDR4 memory with Lattice FPGAs can enable Edge applications with low power consumption and strong performance characteristics.

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.

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.

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.

On December 21, 1983, a young engineer with a long mullet and bell-bottoms flew to Portland, Oregon to join a start-up, Lattice Semiconductor, as employee #31. He left a steady job at Harris Corp. in Melbourne, Florida to go where he thought he could have the most significant impact. Lattice was a using an EEPROM technology that he had an idea for.

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.