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Near-Miss Data Can Expedite Self-Driving Vehicle Algorithm Training: Study

Researchers have developed a new approach to boosting self-driving vehicle algorithms that could significantly reduce the time and cost required to prepare automated vehicles for real-world deployment, according to the University of Michigan. Rather than relying on the vast amounts …

Near-Miss Data Can Expedite Self-Driving Vehicle Algorithm Training: Study

We haven't written up this one. Insurance Journal has the full story — the link below goes straight to it.

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