Lattice Blog

Space exploration has always captivated humanity’s imagination and our fascination continues to drive technological advancements in the industry. Over the past several years, we’ve witnessed groundbreaking advancements in the space industry – so much so that the global space technology economy is expected to reach $1.8 trillion by 2035. As the sector grows, there is rising demand for advanced microcircuits to build the next generation of space systems – like satellites &...

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...

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...

The importance and adoption of FPGA technologies are growing exponentially in space applications thanks to their on-orbit reconfigurability, responsiveness, and flexibility. This is especially true for the latest space application development aimed at Low Earth Orbit (LEO). Operators in LEO typically deploy fleets of satellites to perform applications from ship and asset tracking to weather, environment, and ecosystem monitoring. However, developing applications for space brings challenges ...

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 ...

The AI/ML revolution continues to gain traction across multiple applications, particularly Edge applications. Edge devices like security cameras, robots, industrial equipment, Client PCs, and even toys can now support AI/ML capabilities that provide users with new capabilities and experiences. According to industry analyst firm ABI Research, the Edge AI chipset market “has experienced strong growth in the past and is expected to continue to grow to US$71 billion by 2024, with a CAGR of 31%...

Not so very long ago, when embedded designers wanted to reduce costs, they would turn to high-volume PC architectures to drive down development costs. Where else could they find inexpensive components proven reliable in millions of consumer applications, and backed by an ecosystem of easy-to-use design tools and open source operating systems? Today’s embedded designers in industrial, automotive, medical and other fields are now finding that the smartphone market plays a similar role. Want...