Autonomous vehicles are revolutionizing the way we get around. By utilizing the power of artificial intelligence and machine learning, these vehicles are able to operate without any human interaction. With the potential to reduce traffic congestion and improve safety, autonomous vehicles are quickly becoming the future of transportation. Get ready for a ride of a lifetime! Autonomous Vehicles (AVs) are a rapidly developing technology that has the potential to revolutionize transportation.

Successful industrialization of driverless cars will depend on getting over many significant hurdles. Failure only requires getting tripped up by a few of them. In part two of this series, I outlined seven key hurdles to industrial-size scaling of driverless cars. Overcoming hurdles to scaling is not enough, however. In this concluding article, I explore the challenges to broader market acceptance.

Chinese company, Didi Chuxing may be known by most as the world's largest ride-sharing company with a goal "to build a better journey," but its vision reveals its future ambitions: "to become a global leader in the revolution in transportation and automotive technology." With significant investment in artificial technology, Didi which means "beep beep" in Mandarin (like a car's horn), is focused on staying ahead of the competition. Harvard-educated Jean Liu, president of Didi Chuxing, is focused on growing the global footprint of the $56 billion-company that she leads. In China, the company has 550 million registered customers in more than 400 cities and delivers 30 million rides per day but its reach extends to Australia, Brazil, Japan and Mexico as well as Southeast Asia, India, Europe and Africa through various partnerships. Didi employs 7,000 people, nearly half who are engineers and data scientists, and they continue to recruit other tech professionals to support its artificial intelligence labs, autonomous vehicles and other tech operations.

With massive breakthroughs in smart technologies being reported every month, it won't be long until our transport industries are dominated by AI. Here are just some of the ways artificial intelligence is changing the face of transport, and what we can expect in the near future. Autonomous cars have quickly moved from the realm of sci-fi into reality. Though still in the early stages, these AI-driven vehicles could drastically change how we get from A to B in the near future. From plowing snow to collecting garbage, self-driving trucks could soon be taking over a lot of our dirty work. The technology behind these trucks could also be utilized in freight, capable of transporting 2,000,000 pallets a year each.

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Dr. Stephen Parker, VP of professional graphics, took the stage to give an overview of the use of artificial intelligence in graphics applications. While the first working algorithm using deep feedforward perceptrons was published around 52 years ago in 1965 by Alexey Ivakhnenko and Valentin Lapa, deep learning in graphics applications has reached a combinatorial explosion thanks to some great work that has been recently accomplished by a group of researchers at the University of Toronto. In 2012, professor Geoffrey E Hinton and two students, Alex Krizhevsky and Ilya Sutskever, entered an image recognition content to build computer vision algorithms that learned to identify millions of objects in millions of pictures. Using the most efficient algorithms at the time, the team was able to take the error rate of an average human and cut it in half. They later created a company called DNNresearch, which Google bought the following year.