A Lattice Semiconductor White Paper. January 2019
Artificial intelligence, or AI, is everywhere. It’s a revolutionary technology that is slowly pervading more industries than you can imagine. It seems that every company, no matter what their business, needs to have some kind of AI story. In particular, you see AI seriously pursued for applications like self-driving automobiles, the Internet of Things (IoT), network security, and medicine. Company visionaries are expected to have a good understanding of how AI can be applied to their businesses, and success by early adopters will force holdouts into the fray.
Not all AI is the same, however, and different application categories require different AI approaches. The application class that appears to have gotten the most traction so far is embedded vision.
AI for this category makes use of so-called convolutional neural networks, or CNNs, which attempt to mimic the way that the biological eye is believed to operate. We will focus on vision in this AI whitepaper, even though many of the concepts will apply to other applications as well.
Poll: Should the UK’s railways be renationalised?
Rail passenger numbers declined from 1.27 million in 1946 to 735,000 in 1994 a fall of 42% over 49 years. In 2019 the last pre-Covid year the number...