工业&汽车

Today’s industrial robots are becoming more capable, moving from simple fixed-function systems to perception-driven platforms. Advancements in sensor and processing technology are enabling these systems to better perceive their surroundings, adapt to changing conditions, and make more reliable real-time decisions, if developers can overcome the new processing, power, and latency challenges that come with added complexity. In our latest LinkedIn Live panel discussion, experts from Lattice...

The global datacenter market is expanding at an incredibly rapid pace, projected to surpass over $900 billion USD by 2033. This unprecedented growth is driven by demand for more artificial intelligence (AI) computing capacity, which in turn requires more powerful and complex servers. These servers have historically operated in streamlined, cohesive, tightly integrated architectures. However, increased demand has given way to more distributed, heterogeneous datacenter infrastructure that’s...

As modern avionics system complexity increases, safety certification has become one of the most demanding challenges hardware teams face. At the center of that challenge is DO-254, the worldwide standard that governs the development of airborne electronic hardware. In a recent webinar, experts from Lattice and NewTec broke down what DO-254 compliance actually requires, where FPGA-based designs help simplify safety challenges, and how the right hardware partner can meaningfully reduce the burden...

On June 22, 2026, President Trump signed Executive Order (EO) 14409, Securing the Nation Against Advanced Cryptographic Attacks, a significant policy milestone that accelerates the U.S. government's timeline for adopting post-quantum cryptography (PQC). 2026年6月22日，特朗普总统正式签署第14409号行政令（EO 14409）——《保障国家免受高级密码学攻击》，这是美国政府加速推进后量子密码学（PQC）应用的重要政策里程碑。 在本博客中，我们将探讨这一行政令的具体要求、其截止日期为何比许多机构预想的更为紧迫，以及莱迪思屡获殊荣、业界领先的PQC就绪型MachXO5™-NX TDQ FPGA系列如何帮助客户应对这一过渡挑战。 该行政令针对联邦高价值资产（HVA）及高影响力系统设定了明确的合规要求...

人形机器人已进入到大型物流仓库中搬运货物、在汽车装配线上排列零部件，并在全球一些最大的订单履行中心开展试点运营。可以说人形机器人的第一波浪潮已经到来，其并非停留在实验室或演示中，而是在真实的生产环境中承担实际工作。高盛预测到2035年，该市场规模将达到380亿美元。而今天正在设计的人形机器人平台，正是未来随这一增长实现规模化扩张的关键。 但制造人形机器人与制造传统机器截然不同。人形机器人是一个分布式计算平台，不仅需要行走、感知环境、在现场进行自我更新，还必须满足监管要求，而这一切都必须在有限的电池功耗预算下完成。这意味着其内部芯片必须同时具备实时控制、超低功耗、异构协议桥接和硬件级安全等能力。没有哪一款MCU、分立式安全芯片或应用级SoC能够独自包揽这一切。 莱迪思低功耗FPGA正是为此而设计。单个莱迪思FPGA即可充当人形机器人平台“始终在线的神经系统”——从电源接通的瞬间起，甚至在任何应用处理器启动之前，便开始管理电源时序、桥接传感器与执行器、保障物理安全和加固网络安全。 为何人形机器人将芯片性能推向极限 现代人形机器人并非一...

Drivers expect their vehicles to be safe whether they are behind the wheel or not. But delivering on that expectation, with a system that monitors, detects, and responds around the clock, has proven harder than it sounds. Last year saw car thefts in the US drop to their lowest level in decades, down 23% year over year. Still, a theft occurs every 48 seconds, causing staggering losses for individuals and organizations. Always-on monitoring has emerged as a potential solution, enabling smarter al...

ASPEED’s management compute and Lattice’s low power programmability come together in a single device — the configuration modern platforms have been asking for. Server architectures aren’t getting any simpler. AI workloads keep pushing platforms toward disaggregation, modular I/O, and faster iteration cycles — and OEMs and ODMs are being asked to deliver all of that while platforms keep evolving after they ship. The new ASPEED AST1840 brings two leading technologies ...

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....