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  2. Vehicular automation - Wikipedia

    en.wikipedia.org/wiki/Vehicular_automation

    The concept for autonomous vehicles has been applied for commercial uses, such as autonomous or nearly autonomous trucks. Companies such as Suncor Energy , a Canadian energy company, and Rio Tinto Group were among the first to replace human-operated trucks with driverless commercial trucks run by computers. [ 120 ]

  3. HERE Technologies Unveils AI-Powered Intelligent Guidance ...

    lite.aol.com/tech/story/0022/20250106/1001041565.htm

    Improving Vehicle Safety: Upcoming versions of the HERE AI Assistant will integrate topology and topography map layers from HERE to enhance vehicle safety systems. By providing precise map data, these systems can support Advanced Driver Assistance Systems (ADAS) and Intelligent Speed Assistance (ISA), offering real-time alerts, in natural ...

  4. Applied Intuition - Wikipedia

    en.wikipedia.org/wiki/Applied_Intuition

    Applied Intuition is an American software company specializing in building AI and advanced software for vehicle manufacturers. Founded in 2017 and based in Mountain View, California, Applied Intuition develops tools for the development, testing, and deployment of AV and ADAS technologies in various industries, including automotive, trucking, [2] defense, [3] agriculture, [4] construction, [5 ...

  5. Automated decision-making - Wikipedia

    en.wikipedia.org/wiki/Automated_decision-making

    Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...

  6. Automated machine learning - Wikipedia

    en.wikipedia.org/wiki/Automated_machine_learning

    Automated machine learning (AutoML) is the process of automating the tasks of applying machine learning to real-world problems. It is the combination of automation and ML. [1] AutoML potentially includes every stage from beginning with a raw dataset to building a machine learning model ready for deployment.

  7. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]

  8. What Air Force leadership says is needed for future fights - AOL

    www.aol.com/news/future-fights-warfighting...

    Autonomous vehicles and aircraft are also expected to become more prolific and play a greater role in future wars. "The only open questions about autonomy are how fast it will mature and what form ...

  9. Vehicular ad hoc network - Wikipedia

    en.wikipedia.org/wiki/Vehicular_ad_hoc_network

    A Vehicular ad hoc network (VANET) is a proposed type of mobile ad hoc network (MANET) involving road vehicles. [1] VANETs were first proposed [2] in 2001 as "car-to-car ad-hoc mobile communication and networking" applications, where networks could be formed and information could be relayed among cars.