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Unusual or extreme situations that happen outside normal operating conditions.
In machine learning and robotics, edge cases are rare events that standard algorithms often struggle to handle. Collecting and analyzing these specific scenarios helps engineers retrain their models to improve safety and performance in the real world.
South Korean chemical giant GS Caltex automated its machine learning handoff, cutting deployment times to hours and lowering inference costs with scheduled batch runs.
Industry leaders gathered to discuss the major technical and regulatory milestones required to achieve fully autonomous vehicles over the next decade.
Serve Robotics is expanding beyond delivery bots to sell its core technology and data tools to other robotics companies.
