Lattice Blog

The Lattice Mach™ brand of FPGAs has long set the standard for performance, flexibility, and efficiency in board control and security applications. With the launch of the new Lattice MachXO4™ FPGA family, Lattice is redefining what’s possible for control and connectivity in next-generation systems, delivering competitive power efficiency, robust reliability, and design flexibility for a wide range of applications in the Compute, Industrial, Automotive, Consumer, and Communicati...

Servers are the backbone of modern computing infrastructure. They host sensitive data, AI models, and core workloads – making them prime targets for increasingly sophisticated cyber threats. As server architectures become more modular and disaggregated, integrating various CPUs, NICs, accelerators, SCM modules, and more, and as organizations rely more heavily on these distributed systems, the complexity of securing these systems grows exponentially. Recent attacks – such as those e...

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...

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...

The COVID-19 pandemic disrupted industries and economies across the globe, pushing a large portion of formerly office-based workforces into remote-work setups. A large segment of the workforce becoming decentralized put immense pressure on servers, datacenters, networks, and communication systems, at large. In America, for example, 71% of workers doing their jobs from home all or most of the time put a strain on connectivity and created a more reliance on services in the cloud, as well as 5G and...

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 ...

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%...

Lattice low power FPGA technology helped the Swissloop design team engineer an award-winning hyperloop pod.

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 and Micron have collaborated on a compatibility guide that clarifies which Micron memory SKUs work with different Lattice FPGAs.

At a security seminar in March of 2021, Lattice Semiconductor addressed the concepts of cyber resiliency and protecting supply chains from cyberattack.

Using MachXO3D FPGAs, automotive system developers can implement hardware security so a car’s electronic systems can protect, detect, and recover from unauthorized access.

The Lattice Propel design environment lets hardware and software developers quickly and easily develop Lattice FPGA-based applications in minutes.

Read the latest comms and computing news from Lattice: Low power wireless Heterogenous Networks development and upgrade security with Lattice’s MachXO3D FPGA.

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

Read the latest automotive and industrial news from Lattice: New MachXO3D FPGA brings secures entire systems with hardware root-of-trust, Crosslink bridge connects industrial displays to mobile processors, new 3D Depth Mapping demo, new Scaler IP core for ECP5, and a new version of Diamond Software v 3.11 adds support for MachXO3D.

We live in an increasingly connected world, filled with communication systems, cloud computing and Edge devices working together to increase safety, comfort and convenience. But with that connectivity comes risk. We’re all familiar with how hackers exploit vulnerabilities in software to illegitimately access systems, but hardware is also vulnerable.

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.

There is an emerging, though not widely known attack vector for hacking a server: firmware. Last month, researchers at ESET published a report on Lojax, a rootkit (firmware hacking tool) believed to have been developed by Sednit, the notorious cyberespionage group linked to Russian military intelligence.

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.

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.

New Technology Promises to Accelerate Deployment of Machine Learning Inferencing Across Mass Market, Low-power IoT Applications

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.

A key benefit of programmable logic devices, such as FPGAs and CPLDs, is their programmability. These devices are typically deployed with a unique design intended to address application-specific problems. And because of these problems, many embedded systems that deploy programmable products benefit greatly from the ability to update their design and configuration after manufacturing. An upgrade feature is useful for multiple end-applications.

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.

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.

Imagine private security systems that can differentiate between an intruder and your neighbor’s dog, smart TVs that can scan the room and automatically turn off when no one is present, and cameras that can perform forensic analysis and identify suspicious behavior before a crime occurs. The applications for deploying artificial neural networks at the edge are endless. Coming up with ideas is easy, but getting to the implementation is not that simple.

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.

Celebrating its 50th birthday, CES 2017 did not disappoint. Hundreds of thousands of people gathered in Las Vegas to get a first look at the latest technology for the upcoming year. During the 4 days, the biggest names in consumer electronics and startups alike wowed us with products and technologies that promise to make our lives easier and more efficient. Here are some of the trends we saw at the event and how we can support them.

Many of today’s most extraordinary inventions have been developed by independent makers, inventors, designers and tinkerers, who used collaborative tools and knowledge to create exciting, new products.

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.

How many times have you seen this scene in a movie or police procedural? The police is reviewing footage looking for a suspect and think they have found him. The detective leans over the shoulder of the tech and asks to zoom in closer on the face of the suspect. Suddenly the blurry image resolves into a crystal clear image of the perpetrator’s face. It’s one of the most common tropes in Hollywood; and it’s completely fake.

Today’s designers face a major challenge: How do I pack more functionality into a board, and do it faster and cheaper? The go-to approach to solving this problem is to implement data path or payload functions using highly integrated ASICs and SoCs. However, the design is not complete by simply connecting all the large devices together.