Sometime next week, NASA's newest rover on Mars, Perseverance, will set a record for the most distance driven by any vehicle on another world.

The automobile-sized rover, which landed on Mars in February 2021, will traverse beyond 45.16 km (28.06 miles) across the Martian surface. In doing so it will break the previous distance record held by the long-lived Opportunity rover, which ceased communications with NASA in 2018.

So how did Perseverance reach this record-setting distance in just a third of the time?

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In October 2025, a storm brewed over the Caribbean Sea. Weather models differed on its trajectory. Would it remain weak and end up in Haiti, or would it intensify and head to Jamaica? Artificial intelligence model WeatherNext, developed by Google’s DeepMind and Google Research, went with the latter. Five days before landfall, it predicted with 80 percent confidence that the storm system would hit Jamaica as a Category 5 hurricane.

Hurricane Melissa was catastrophic, causing flooding and landslides across Jamaica. But the AI model helped forecasters give an earlier warning to communities in its path, so they could better prepare.

In a paper published on Thursday in Nature, researchers show that the WeatherNext AI model can predict cyclones with unprecedented accuracy. On average, it gives forecasters a day more lead time than existing models; this means its predictions three days out are as accurate as previous models’ predictions two days out. On the ground, that extra day can mean a lot.

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