Programmable Logic (FPGA, CPLD…)

The continued AI and machine learning evolution is reshaping lifestyles and workplaces, now more than ever with the emergence of foundation models and generative artificial intelligence (AI). To keep up with the significant rise in computational throughput this still-evolving digital transformation is causing, the demand for hardware efficiency is increasing. Field Programmable Gate Arrays (FPGAs) are an ideal silicon solution to help developers to navigate this shift and design reprogrammable e...

5G is the fastest-growing mobile technology of all time and due to its rapid growth, we’re experiencing a major paradigm shift in in the way telecom networks are designed and implemented for addressing use cases such as robotics, connected cars, smart factories and cities, and Metaverse experiences. Lattice hosted its quarterly security seminar with ADI and NXP to discuss the challenges, opportunities, and latest hardware security solutions for the global telecommunications industry, as th...

As FPGA devices have expanded in both their density and complexity, design teams are choosing to migrate design principles previously handled by other types of semiconductors – like ASICs and MCUs – to these more sophisticated FPGAs. However, as is often the case, increased complexity can bring to light new challenges, and designers rely on software tools to efficiently implement designs that maximize the advanced capabilities of the FPGA devices. Lattice Radiant® software offer...

Over the past few years, we’ve continued to see disruptive advancements like AI models including natural language processing, computer vision, and other workloads come to market. As these technological innovations grow, both in popularity and computational throughput, the demands and importance of advanced, complex system design and system control architecture will only increase further. In our latest LinkedIn Live panel discussion, the Lattice team sat down with Bob O’Donnell, Pre...

Designing and implementing a complex solution on an FPGA can be tricky. The learning curve for first-time FPGA users can be steep and advancing deeper into FPGA design techniques require time and effort. At Lattice Semiconductor, we want to make your journey of learning and designing with FPGAs a seamless and gratifying experience. Lattice Insights, the official training academy for Lattice Semiconductor, is created to enable that experience - to empower FPGA developers to fully utilize Lattice...

Over the past few years, we’ve seen disruptive advancements in AI models – now more than ever with the rise of generative AI tools in the market such as OpenAI’s ChatGPT, Google’s Bard, and other new models being announced daily. AI models including natural language processing, computer vision, and other workloads that will drive further proliferation of AI, but this requires the system infrastructure to keep up as the system control complexity grows in parallel with memo...

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. ...

As the low power programmable leader, sustainability is a core guiding principle for product innovation at Lattice. Over the past few years, we’ve proudly partnered with Swissloop to support their Hyperloop research. It has been another year of milestones for the student organization. Read on for an update on the team’s 2022 program and award-winning work from Swissloop leaders, Roger Barton, and Hanno Hiss. The Swissloop team Swissloop is a student organization at ETH Züric...

It’s no secret that Edge computing continues to experience rapid growth as enterprises seek lower latency, and more secure and private processing than centralized cloud datacenters can provide. Billions of Edge compute devices are being deployed in the market, and they’re only getting more advanced with time. Advancements in machine learning and deep neural networks have helped pave the way for this trend, enabling more intelligence to be processed at faster speeds than ever before....

“Enormous amounts of data are being generated every day by billions of connected sensors, devices, and systems supported by AI algorithms, creating an accelerated need for intelligence at the Edge. This trend requires developers and OEMs to look for more flexible and adaptable solutions.” Pat Moorhead, CEO and Chief Analyst at Moor Insights & Strategy Companies today are challenged by a fast-evolving technology landscape, a seemingly insatiable hunger for more connectedness a...