Communications & Computing

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 Industrial sector is in a moment of real transformation. While automated solutions like Industrial robotics have long been sources of speculation and hype, conversations are beginning to shift towards what’s realistically deployable in today’s factories and service environments. In a recent webinar hosted by Embedded Computing Design, experts from Lattice, Advantech, and Renesas helped cut through the noise and explore the robotics applications Industrial customers expect, the ...

Present-day edge AI systems rely heavily on multi-modal sensor fusion, such as camera, lidar, and radar, to enable accurate, real-time decision-making. Existing platforms, such as NVIDIA® Jetson Orin NX, are equipped to adequately support multi-camera use cases. To advance this further, NVIDIA’s latest Jetson Thor series modules have been combined with the Holoscan Sensor Bridge board – running on a Lattice FPGA – to address the increase in sensor counts and synchronization...

FPGA development moves fast, and your verification flow and simulations need to keep up. Long compile times, manual setup steps, and constant design changes can easily slow momentum when you are trying to iterate fast. Before a design ever reaches hardware, you need absolute confidence that it behaves exactly as intended. Lattice Radiant® Software, paired with Siemens QuestaSim Lattice FPGA Edition simulator, delivers powerful functional verification capabilities, but the reality is familiar...

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...

When it comes to making predictions, sometimes you really have to go out on a limb and sometimes, well, it’s pretty easy. In 2026, there’s zero doubt that AI, generative AI, and agentic AI will continue to be the key buzzwords driving the tech industry forward. Perhaps a bit less obvious is this year should also mark the beginnings of a growing opportunity in Edge AI, where AI-focused workloads can run in disconnected environments and/or locally on client type devices. The combinati...

The continued evolution of AI is reshaping the foundation of datacenter design and development. As workloads grow more complex and resource-intensive, operators face mounting challenges related to datacenter performance, reliability, and security. If workload demands can’t be consistently met, infrastructure will be unable to scale without disruption. In our latest LinkedIn Live panel discussion , Lattice experts and Bob O’Donnell from TECHnalysis Research explored the increasingly c...

The transition to post-quantum cryptography (PQC) is not a theoretical future event. It is the largest cryptographic migration in modern history, already shaping product roadmaps, standards bodies, and infrastructure planning across servers, AI datacenters, telecom, industrial automation, and critical systems. In this interview, we sat down with Mamta Gupta, a leader driving Lattice’s quantum-safe security strategy, to discuss Quantum Day (Q-Day) readiness, crypto-agility, Security Proto...

Artificial intelligence (AI) is rapidly moving out of the datacenter and into the real world, powering everything from industrial robots to autonomous vehicles and smart infrastructure. Edge devices have become the new frontier for AI, driving smarter factories, safer vehicles, and more responsive cities. Meeting the needs of edge applications involves using AI that is efficient, adaptable, and scalable, since these scenarios often involve unique technical constraints and possibilities. As AI ...

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...