Lattice Blog

Interest in edge computing has surged as organizations across industries seek smarter ways to automate processes, enhance productivity, and optimize labor. By processing data closer to its source, edge systems can provide benefits like reduced transmission and storage costs and strengthened security. They can also enable the development of advanced machines and devices, from autonomous mobile robots (AMRs) and humanoids to smart medical devices, which can operate with precision and speed. Thes...

Across industries and use cases, computing capacity is shifting away from centralized servers and towards the edge. Whether in the form of autonomous vehicles, smart sensors, or other technological solutions, today's intelligent applications demand faster decision-making and increased autonomy. This shift is especially prevalent in the Industrial, defense, and aerospace industries. The unmanned aerial vehicles (UAVs) and drones used in defense applications rely heavily on edge intelligence to...

Planning and execution are two very different beasts. A project may appear straightforward on paper, staying within budget, on schedule, and technically sound, only to hit roadblocks in the real world. However, turning ideas into reality isn’t always smooth, and success depends on how well we anticipate and navigate the unknowns. This gap between concept and execution is especially pronounced in the fast-growing realm of edge artificial intelligence (AI). In a recent roundtable discussion...

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...