ラティスブログ

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...

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...

Artificial intelligence (AI) is making its way onto a multitude of applications at a rapid pace. Seventy-three percent of U.S. companies use AI in some aspect of their business and almost a quarter (22 percent) of technology companies are aggressively pursuing integration of AI across a wide variety of devices. As AI continues to permeate modern technology, tailoring on-device AI to meet specific use cases and device requirements becomes imperative as the need for real-time processing, analysis,...

Today, Lattice extended its embedded vision FPGA leadership with the launch of the Lattice CrossLinkU™-NX FPGA family, our latest FPGAs based on the award-winning Lattice Nexus™ platform. CrossLinkU-NX FPGAs build on the best-in-class capabilities of Lattice CrossLink-NX FPGAs, adding a USB interface to help developers design innovative USB-equipped embedded vision and AI solutions for Compute, Industrial, Automotive, and Consumer markets. As part of our launch preparations, we sat ...

As we continue to embrace the fast evolving technology in our daily lives, we must also recognize and mitigate the risks that come with it – particularly when it comes to keeping our information secure. Amidst these technological enhancements and challenges, there are two major trends that stand out: Post Quantum Cryptography (PQC) and cyber resilience. The rapid growth of the IoT ecosystem, fueled in part by the rise of 5G, has created a complex and highly distributed network of devices ...

Embedded World is one of the tech industry’s largest tradeshows focusing on embedded systems ranging from hardware, systems, distribution, application software, and more. We’re excited to share with you the latest Lattice innovations we had on display at the show this year. From cutting-edge hardware to sophisticated software solutions, we collaborated with our ecosystem partners to showcase demos covering a wide range of applications, including Automotive, Industrial, and Security. ...

At this year’s Embedded World 2022, Lattice presented a keynote address by Steve Douglass, head of R&D, the importance of flexibility and adaptability in embedded system design – both at the software layer and the hardware layer – to keep pace with the major technology trends of today and tomorrow. This blog provides a high-level recap of the presentation. We are living in a time in our industry with some of the most profound changes in technology that are fundamentally re...

The importance of AI and ML, the rise of edge computing, and the need for flexible programming in AI. Artificial Intelligence (AI) is one of the biggest buzzwords in the technology industry today and is often thought of in broad terms to describe connected “smart” technology. However, when you think about all the different features enabled by AI and the outcomes AI solutions are designed to deliver, it becomes clear that the AI landscape and AI development is incredibly complex. The ...

Enhancements to version 4.0 of the award-winngin Lattice sensAI solution stack include support for the Lattice Propel design environment and the Lattice sensAI Studio design environment for end-to-end ML model training, validation, and compilation.

Lattice FPGAs are ideal for sensor fusion applications because their programmable fabric can be configured to perform sensor processing algorithms in a massively parallel fashion.