Lattice Blog

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.