Quantum computing is no longer just a concept confined to research labs. Thanks to rapid progress in both hardware and algorithms, the risk to today’s cryptographic systems is steadily increasing. In 2025, Google’s 105-qubit Willow chip and Microsoft’s Majorana 1 processor demonstrated that scalable quantum systems are moving closer to practical reality. Industry experts now predict that quantum computers capable of breaking RSA-2048 encryption could arrive as early as 2030 to ...
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Everyone, it seems, is now talking about how they’re planning to integrate AI into their devices, their factories, their workflows and, well, everything. But how they actually plan to make that happen isn’t always clear. Part of the challenge, of course, is that different workloads and different environments require different types of solutions.
For those looking to integrate AI-powered capabilities into edge computing-based offerings, there are a relatively broad range of ways to ac...
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Posted 09/19/2025 by Mamta Gupta, AVP Strategic Business Development for Security, Telecommunications, and Datacenters, Lattice Semiconductor; Eric Sivertson, VP of Security Business, Lattice Semiconductor
Building and maintaining connected digital ecosystems that account for today’s evolving cyber threat landscape requires a degree of hardware-based trust, as software-only security approaches are no longer sufficient to protect complex, distributed systems
Luckily, today’s developers can reference a foundational example of hardware-based security that has existed for decades: the Trusted Platform Module (TPM). With over four billion TPM units deployed globally across a wide range of u...
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Posted 09/18/2025 by Hussein Osman, Segment Marketing Director, Lattice Semiconductor; Ricardo Shiroma, Director of Business Development, Lattice Semiconductor
Human-machine interfaces (HMIs) are rapidly evolving, driven by trends such as Automotive personalization, sustainable always-on interfaces, hygienic touchless user interfaces (UI), consistent user experience (UX) across platforms, voice activation, and Industrial automation for labor and safety needs. Regardless of their specific drivers and/or use cases, modern HMIs must be smarter and more dynamic – shifting from command-based to context-aware systems that bridge the human-machine...
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Robots have rapidly evolved from science fiction into a cornerstone of modern industry. Today’s autonomous systems can execute complex tasks with minimal human oversight – transforming how we work, live, and move. But achieving this level of intelligence and reliability in real-world environments requires more than just advanced software. It demands robust hardware, deterministic processing, and scalable system architectures that can support safe, real-time decision-making under dema...
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Posted 08/29/2025 by Mamta Gupta, AVP Strategic Business Development for Security, Telecommunications, and Datacenters, Lattice Semiconductor
Servers are the backbone of modern computing infrastructure. They host sensitive data, AI models, and core workloads – making them prime targets for increasingly sophisticated cyber threats. As server architectures become more modular and disaggregated, integrating various CPUs, NICs, accelerators, SCM modules, and more, and as organizations rely more heavily on these distributed systems, the complexity of securing these systems grows exponentially.
Recent attacks – such as those e...
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Edge AI is reshaping how machines interact with the world, bringing intelligence closer to the data source and enabling real-time, context-aware decision-making. In Automotive and Industrial environments, this shift is driving smarter sensors, automation, and enhanced Human-Machine Interfaces (HMI). But deploying AI at the edge comes with constraints: limited computing capacity, strict power budgets, and compact hardware footprints.
In our latest LinkedIn Live panel discussion, Lattice expert...
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The evolution of modern transportation is accelerating the need for control systems that are not only fast and accurate, but also highly adaptable and efficient. Lattice FPGAs empower engineers across industries with low power, programmable logic that enables real-time data processing, intelligent system coordination, and rapid hardware adaptability. One standout application is High-speed Hyperloop transit, a futuristic transportation concept.
Swissloop, a student-led initiative supported by E...
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In the past, Human Machine Interface (HMI) were relatively simple, consisting of buttons, knobs, levers, and static displays designed to control basic functions. Today, HMIs have evolved into sophisticated, context-aware systems that serve as the primary bridge between users and increasingly intelligent machines. Whether embedded in vehicles, Industrial equipment, consumer electronics, or smart infrastructure, modern HMIs must manage a growing array of tasks. These include real-time data vi...
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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 ...
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Given the broad range of roles Lattice Field Programmable Gate Arrays (FPGAs) play in modern systems—like industrial robotics, automotive networking, communications infrastructure, and beyond—there are countless ways for system and application designers to leverage our silicon.
To streamline FPGA adoption, we offer best-in-class, easy-to-use software solutions with a variety of helpful design features. These software offerings include the Lattice Radiant™ software an...
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Posted 05/23/2025 by Mamta Gupta, Senior Director of Security, Datacenter and Comms Segment Marketing; Eric Sivertson, VP of Security Business
Quantum computing has long been discussed as a far-off development in computer science. The claim that widespread accessibility and use is “just five years away” is a common refrain among many practitioners. But with recent advancements in the field—including Microsoft’s Majorana 1, Google’s Willow chip, and IBM's plans to release the largest-ever quantum computer in 2025— we are closer to realizing its potential than ever before.
While exciting, these advance...
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Imagine a robot navigating a crowded factory floor, rerouting itself in real-time around equipment, humans, and unexpected obstacles — all while maintaining motion control and system stability. This isn’t a distant vision; this is the reality engineered by Agiliad in partnership with Lattice Semiconductor.
In a market full of autonomous mobile robots (AMRs) that rely on generic control stacks and prebuilt kits, this AMR stands out as a deep-tech system, purpose-built for intelligent...
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As the Industrial sector moves closer to realizing Industry 4.0, the demand for systems that offer resilient connectivity, low power consumption, high performance, and robust security is increasing.
However, implementing a digital transformation is not always straightforward. Businesses must integrate these advanced systems within legacy environments, contending with siloed software, pre-internet equipment, and deeply ingrained workflows. They need solutions that allow for intentional applica...
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Posted 04/18/2025 by Mamta Gupta, Senior Director of Security, Datacenter and Comms segment marketing Eric Sivertson, VP of Security Business
Cybersecurity best practices can change on a dime. To help our customers keep up with this rapidly changing field, Lattice runs a regular Security Seminar program where security and FPGA experts dive into the latest security trends, regulations, and implementation across the Communications, Computing, Industrial, Automotive, and Consumer markets. Our goal is to deliver security-relevant insights, real signals, and a sense of what's next, especially if you're building, deploying, or managing trus...
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In the world of programmable logic devices, SRAM-based FPGAs are often misunderstood. These FPGAs offer incredible flexibility and reconfigurability, making them ideal for a wide range of applications from consumer electronics to aerospace. Additionally, SRAM-based FPGAs can achieve high performance and low latency, making them suitable for demanding tasks such as real-time data processing and high-speed communication.
It's a common misconception that SRAM-based FPGAs are burdened by lengthy boo...
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The demand for high-speed data transfer is growing rapidly. With advancements in smart devices, datacenter systems, and software, organizations need data to move quickly through their technology infrastructures while staying adaptable, scalable, and secure. This increase in real-time data transfer puts more strain on systems, leading to higher infrastructural needs.
From enhancing cell phone video quality and aiding autonomous vehicles in avoiding crashes to activating smart home security device...
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Embedded World is one of the biggest tradeshows in the world, at which Lattice and our ecosystem partners showcase the latest and greatest Lattice FPGA based innovation in a wide range of applications for Automotive, Industrial, and Security applications at the Edge. In case you missed the show, following is a snapshot of our highlights from embedded world 2025.
Lattice Wins Embedded Computing Design (ECD) ‘Best in Show’ Award
Lattice won the prestigious ECD Best in Show award...
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Embarking on a new FPGA design can be an exciting yet challenging journey, especially for beginners. The world of FPGAs offers immense potential for creating complex and high-performance digital systems, but it also requires a solid understanding of various design principles and tools. Whether you are a new designer or a seasoned FPGA expert, at times, you might find yourself navigating through unfamiliar territory, from understanding timing constraints to managing multiple clock domains, or in ...
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Edge AI — implementing AI models on Edge devices to process algorithms locally rather than in a centralized computing location, like the cloud — has garnered significant attention as one of the fastest developing areas of artificial intelligence. Calculated at roughly $21 billion USD in 2024, the Edge AI market is expected to reach over $143 billion by 2034. This signals a sustained focus across industries on the development of AI-powered Edge systems.
New opportunities for Edge AI ...
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