Programmable Logic (FPGA, CPLD…)

As demand for artificial intelligence at the edge continues to grow, it has become increasingly difficult for designers and developers to support. Constrained edge systems often lack the power, processing, and space required to run these high-performance workloads effectively. In a recent webinar hosted by Embedded Computing Design, experts from the Lattice team discussed the growing role that flexible field-programmable gate arrays (FPGAs) play in the development and deployment of edge AI solu...

In early 2026, a quiet shift became impossible to ignore: artificial intelligence (AI) moved from helping defenders to operating like an attacker at scale. The cybersecurity community took notice when researchers revealed that an advanced AI system, known publicly as Claude Mythos Preview, was able to independently discover and exploit serious software vulnerabilities. Many of these weaknesses had existed for years in widely used operating systems and software, despite extensive testing and revi...

As AI adoption accelerates, workloads are no longer confined to centralized datacenters. Instead, AI is scaling across cloud infrastructure, edge systems, industrial platforms, robotics, and physical AI devices. This shift is fundamentally changing how systems are designed. While CPUs, GPUs, and other accelerators continue to anchor AI performance, modern architectures are becoming more modular, more distributed, and far more dependent on the silicon that surrounds those primary compute engines....

That question opens Lattice Semiconductor’s recent Security Seminar, and it becomes more urgent as humanoids move beyond research environments and begin operating around and interacting with people. Mechanical safeguards and functional safety standards address only part of the risk. When control systems, firmware updates, or data paths can be compromised, security directly determines physical safety. In this seminar, experts from Lattice Semiconductor, SEALSQ, and Promwad examine the real...

Supporting today’s growing landscape of distributed, autonomous devices is no simple feat. Whether it is industrial robots, autonomous drones, or in-vehicle safety systems, each of these increasingly intelligent solutions requires real-time processing capabilities to function. Supporting these capabilities requires moving artificial intelligence (AI) and machine learning (ML) applications away from centralized cloud services and closer to the cameras, radar systems, and other sensors that...

Modern defense platforms are caught in a familiar bind. Many of the mission computers still in service today were designed decades ago, and in many cases, they are doing exactly what they were built to do. They rely on interfaces like MIL-STD-1553 and ARINC 429 because those standards have proven reliable and predictable over time. They are deeply embedded across airborne, ground, and naval platforms, and replacing them is far from simple. What has changed is everything around them. New sensors...

The rapid expansion of connected, intelligent machinery is transforming Industrial infrastructure as we know it. As devices at the edge take on more responsibility, engineers and developers face rising pressure to enable connectivity while maintaining overall system effectiveness and security. Industrial organizations must keep pace with digital transformation and stay resilient against expanding and complex cyber threats. To strike this balance, Industrial infrastructure must become more cyber...

The humanoid robotics market is moving quickly from concept to commercial reality. Work that once belonged in research labs is now appearing in factories, warehouses, and service environments due to major improvements in sensing, actuation, and edge intelligence. As these systems take on more complex workloads, developers must deliver dense sensor fusion, sub microsecond motor control loops, and real time perception within tight power and thermal limits. The central question is no longer whethe...

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 ...

Recent advancements in quantum computing have made post-quantum cryptography (PQC) more necessary than ever before. There is an immediate need for developers across industries to strengthen their computing ecosystem against the heightened risk and uncertain capabilities of quantum-enabled attacks. The challenge? There’s not yet a standard, comprehensive model for ensuring post-quantum security. Traditionally, developers have been able to create standards and best practices in response to ...