Artificial intelligence (AI) will change society in so many different aspects that it is not comprehensible to grasp yet. It will be on the same magnitude as the Industrial Revolution (or most likely much larger).

AI carries threats and great opportunities. Given the unknown unknowns of AI, we can spot headlines every day with either alarming news or the opposite.

AI plays a major role for enabling autonomous vehicles but also for the development of more sophisticated and efficient advanced driver assistance systems (ADASs) by supporting, for example, rapid object detection and classification.

Since the mid-20th century, AI has been a research topic, but not until recently has it gained momentum due to, for example, the performance increase in ubiquitous hardware. It is computationally expensive to execute AI algorithms.

There are broadly speaking three “types” of AI discussed today, machine learning (ML), deep learning, and generative AI (GenAI), where GenAI is a specialized case of deep learning, which in turn is a subset of ML. The common denominator for all AI is training data, and data fit for purpose are pivotal for the development of AI algorithms. Garbage in will result in garbage out.

Full Article: IEEE Vehicular Technology Magazine, Volume 19, Number 1, March 2024

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