Price: $28.00
(as of Dec 03,2024 21:21:43 UTC – Details)

Language ‏ : ‎ English
Paperback ‏ : ‎ 264 pages
ISBN-10 ‏ : ‎ 1733249885
ISBN-13 ‏ : ‎ 978-1733249881
Item Weight ‏ : ‎ 13.9 ounces
Dimensions ‏ : ‎ 6 x 0.66 x 9 inches

AI Self-Driving Cars Vicissitude: Practical Advances in Artificial Intelligence and Machine Learning

Self-driving cars have been a hot topic in the technology world for years now, with companies like Tesla, Google, and Uber all working on developing their own autonomous vehicles. While the concept of self-driving cars may have seemed like a distant dream just a few years ago, recent advances in artificial intelligence and machine learning have brought us closer than ever to making this technology a reality.

One of the key factors driving the development of self-driving cars is the rapid advancement of AI and machine learning algorithms. These technologies allow cars to learn from their surroundings, make decisions in real-time, and adapt to changing conditions on the road. By using sensors like cameras, lidar, and radar, self-driving cars can detect and respond to objects and obstacles in their environment, making them safer and more efficient than human drivers.

In addition to improving safety on the road, self-driving cars also have the potential to revolutionize the way we think about transportation. By reducing the need for human drivers, self-driving cars could help alleviate traffic congestion, reduce emissions, and make transportation more accessible for people who are unable to drive themselves.

While there are still many challenges to overcome before self-driving cars become mainstream, recent advances in AI and machine learning have brought us closer than ever to making this technology a reality. As researchers and engineers continue to push the boundaries of what is possible, we can expect to see even more exciting developments in the field of autonomous vehicles in the years to come.
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