Lattice Blog

The global Industry 4.0 market is estimated to exceed USD $279 billion by 2028 at a CAGR of 16.3%. While this meteoric rise is no surprise to developers and manufacturers, its impact is only just beginning to unfold. By combining the capabilities of cloud computing, the Internet of Things (IoT), and artificial intelligence (AI), Industry 4.0 will continue to increase digitalization, automation, and connected computing within manufacturing in the years to come — driving more enterprises to ...

I attended Embedded World in Nuremberg, Germany recently and wanted to share some thoughts about the trends and technologies that received the most attention at the show this year.

If you missed the 2019 Embedded Vision Summit, check out the latest sensAI demos from Lattice to and see what smart vision can enable in Edge devices

Over recent decades system design has evolved from one processing topology to another, from centralized to distributed architectures and back again in a constant search for the ideal solution.

New Technology Promises to Accelerate Deployment of Machine Learning Inferencing Across Mass Market, Low-power IoT Applications

The complexity of implementing intelligent Edge solutions is causing many issues for designers, including accommodating devices with new and legacy interfaces in a variety of applications. Some of these applications also require compute engines capable of processing data collected at low power and cost.

Were you impressed by the products and technologies showcased at CES 2018? This year’s event promised to “WHOA” attendees with new gadgets from industry giants and startups alike. From the slightly odd to the “where have you been all of my life” devices, this year’s CES focused on infusing intelligence into as many aspects of our lives as possible.

Imagine private security systems that can differentiate between an intruder and your neighbor’s dog, smart TVs that can scan the room and automatically turn off when no one is present, and cameras that can perform forensic analysis and identify suspicious behavior before a crime occurs. The applications for deploying artificial neural networks at the edge are endless. Coming up with ideas is easy, but getting to the implementation is not that simple.