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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...