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,...

全球数据中心市场正以惊人速度扩张，预计到 2033 年市场规模将突破 9000 亿美元。这一前所未有的增长由对 AI 计算能力的强劲需求所驱动，进而要求服务器更加强大、更加复杂。 这些服务器历来采用精简、统一、高度集成的架构运行。然而，需求的持续增长催生了更加分散、异构的数据中心基础设施，给运营商的管理与控制带来了更大挑战。 在 Embedded Computing Design 近期主办的网络研讨会上，Lattice 深入探讨了这一日益复杂的趋势、AI 服务器网络面临的不断扩大的安全风险，以及现场可编程门阵列（FPGA）如何为数据中心安全创新提供所需的控制与信任基础。 数据中心解耦驱动复杂性与风险上升 从统一服务器系统向解耦 AI 基础设施的转变，在现代数据中心中以多种形式呈现。一方面，这涉及在同一服务器机架中整合来自多家供应商的组件，包括不同的 CPU、GPU、网卡（NIC）、数据处理器（DPU）、加速器等；另一方面，还需要支持混合模式，即同时利用云端与本地基础设施，使管理层在系统软硬件层面更加碎片化。 这种解耦带来的问题可归结为三大核心运营痛点： 复杂性爆...

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....

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 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...

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...

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...

人形机器人市场正快速从概念走向商业化现实。得益于传感、驱动及边缘智能领域的重大突破，曾经只存在于研究实验室的成果，如今已逐步出现在工厂、仓库和服务环境中。 随着这些系统承担越来越复杂的工作负载，开发者必须在严苛的功耗与散热限制下，实现密集的传感器数据融合、亚微秒级电机控制回路以及实时感知处理。核心问题已不再是"能否造出人形机器人"，而是"能否信任它们安全、自主地运行"。 Lattice FPGA 在这一转型中发挥着关键作用——通过紧邻电机和传感器的低功耗、高确定性处理，驱动感知与灵巧动作的实现。结合TPM锚定安全机制与硬件信任根（HRoT）架构，这些器件还可帮助团队强化机器人各分布式节点的系统完整性。 近期，我们与Lattice安全事业部副总裁Eric Sivertson进行了深度对话，探讨如何借助TPM锚定型FPGA、确定性控制及量产路径，保障人形机器人的安全。 问：您如何看待当前人形机器人市场的成熟度？ 答： 市场仍处于早期阶段，但发展势头迅猛。我们正在见证人形机器人从研究和试点阶段向早期商业化部署转变。人形机器人代表着"具身智能"的终极形态，但市场尚未成熟...

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...