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The Place of Machine Learning and Artificial Intelligence in the Automotive Industry


When it comes to vehicles, dials and switches are used to control everything. As the automotive industry evolves, so do its norms. Today, we are rapidly moving towards a world of shared and self-driving cars. Automotive manufacturers implement a range of human-machine interface technologies (HMIs), including voice controls, interior-facing cameras, touch-sensitive surfaces, and smarter, personalized platforms. Voice control is among the most preferred interfaces with the most significant percentage of HMIs since it allows hands-free control and, therefore, less distraction from the road. Other examples include multifunctional controllers, touchscreens, and head-up displays. Autonomous driving has been the central concern of the automotive industry for quite some time. This revolutionary concept wouldn't be possible without the help of Artificial Intelligence.

The Fast Lane: What Driverless Cars Mean for Innovation and Risk


It's coming quickly down the road: a world where we can get in a car anytime we want to but don't own one. Where accidents are drastically reduced, and we don't have to worry about dangerous drivers on the road. Where we can join conference calls or draft a report on our morning commute. Cars are changing more quickly and drastically now than at any other point in their history. And it's no wonder: from 2014 to 2017, start-ups, automakers and other stakeholders invested an estimated $80 billion into autonomous vehicle (AV) technology.

Tackling ethical roadblocks in AI and autonomous driving - THRIVE


Artificial intelligence (AI) is advancing, though perhaps not as fast as the hype cycles would have us believe. But we are starting to see AI being applied to tasks typically done by humans, including more intelligent chatbots that can answer first- and even second-level customer service requests, smart software bots automating business process tasks and pilot projects involving autonomous vehicles. It is these vehicles that have captured the popular imagination. Proponents envision a world in which deaths caused by speeding, distracted driving, fatigue, drunk driving and other human errors can be dramatically reduced. This is a world of ride-sharing, a world where elderly and disabled populations gain mobility, a world where many people, particularly in urban centers, won't even buy cars anymore.

Key Applications of the Smart IoT to Transform Transportation


The applications of the Internet of Things (IoT) have been growing dramatically in recent a few years. The smart IoT is dramatically accelerating the pace of innovation and transforming the way of operations in transportation and infrastructure. The ubiquitous deployment of smart, connected sensors and things, combined with artificial intelligence (AI) and big data analytics, can enable us to gather insightful knowledge, make real-time and even predictive computing to help us reaching better decisions and developing better plans to improve the safety, efficiency, and reliability of smart transportation. Here we take a look at some important applications of the IoT in intelligent transportation systems and smart cities. The human factor continues to be one of the main contributing elements to road accidents.

AI In Transportation: Artificial Intelligence in the Transportation Industry - USM


Just imagine the world without a transport facility! If you want to travel for long distances, how would you go? And, if a leading manufacturing company has to transport goods to its customer locations, then how it will do that without a transport facility? I think you understood the significance of the transportation industry. Do you believe or not history of the initiatives across the transportation industry have exploded in 1787 when steamboat has invented.