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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 ...
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...
Our digital world is undergoing a profound transformation. Cloud computing, artificial intelligence (AI) and machine learning (ML) workloads, as well as the emergence of quantum computing capabilities, are reshaping how networks must be protected and secured. What’s more, these changes come amid evolving risks & regulations – from the prevalence of “harvest now; decrypt later” attacks, to updated standards like the Commercial National Security Algorithm Suite (CNSA) 2...
Each year, the Open Compute Project (OCP) Global Summit brings together the tech industry’s most innovative thinkers to discuss the current and future state of open hardware and software solutions. This year, Lattice and our ecosystem partners had the opportunity to showcase a range of our Field Programmable Gate Array (FPGA)-based solutions that help enable OCP-compliant development of datacenters, artificial intelligence (AI) solutions, and more. In case you missed the show, here’...
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...