With AI becoming a critical focus for automotive companies, it can be overwhelming to narrow down where to start. Automotive AI investments are best focused in two places. In part one of this two-part series, we drill down on the in-cabin experience
Off the shelf training datasets offer a cost and time-effective alternative to companies developing AI. Companies should consider pre-built datasets for their specific use cases to help with the cold start problem, improve accuracy, and avoid additional risk of improper data usage.
The Train AI Summit schedule is now available. See the list of sessions as well as learn about the participating speakers. Don't forget to register for the October 14th virtual event.
Semantic interoperability is the ability of computer systems to exchange data with unambiguous, shared meaning. To this end, high-quality, human-annotated data sets are needed to accurately train machine learning models.
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