Lattice Blog

One of the truisms of modern business is that as industries mature, they tend to specialize. Customer demands typically become more sophisticated over time and that leads to products optimized to meet those specific needs.

As the leader in low power programmability, Lattice has set the standard for what low power, small form factor FPGAs can do in terms of performance and power consumption. We earned and maintained that position through a culture committed to customer support and consultation. For example, before we began active development of the Lattice Nexus platform, we met over 100 different customer design teams to get their input on the

There is growing interest among embedded vision developers in adding AI/ML technology to their designs to give them the intelligence needed to run applications like object counting or presence detection. However, supporting AI/ML in embedded vision applications can be challenging, particularly as embedded vision applications trend towards increasing complexity.

CrossLinkPlus devices are low power FPGAs featuring integrated flash memory, a hardened MIPI D-PHY and high-speed I/Os for instant-on and flexible on-device programming capabilities, while bringing ready-to-use IPs to accelerate video bridging application development.

Lattice Semiconductor sponsored the Microsoft Sensors Hack, part of the larger 2019 Hackathon event, where Microsoft teams used the Lattice sensAI solutions stack for smart vision systems to create potential use cases for AI and sensors.

On the path for faster time-to market and reduced development time and cost, rapid prototyping is required for many electronic designs. To accomplish this task, designers need to reuse existing hardware and software building blocks. The emergence of vision technologies further complicates this path as many design engineers have experience in everything but embedded vision!

Imagine you’ve been given the responsibility to develop a new video bridging solution. Initially, you have a specific application in mind, but as cameras emerge in a growing number of intelligent applications, ranging from object recognition and depth perception to lane detection and collision avoidance, you know you will need prototypes for a wider variety of functions.

What excites me about technology is its prospects for making human life better. Artificial Intelligence (AI), Machine Learning and Deep Learning hold a lot of promise to do just that, if done in a sensible way.