MIT AI forecasts extreme weather without historical data

MIT engineers have built an AI tool that forecasts extreme weather without training on historical disaster data. Kai Chang, a mechanical engineering graduate student, and Professor Themis Sapsis developed the tool.

MIT AI forecasts extreme weather without historical data

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MIT engineers have built an AI tool that forecasts extreme weather without training on historical disaster data.

Kai Chang, a mechanical engineering graduate student, and Professor Themis Sapsis developed the tool.

It produces maps of events that have not appeared in a region's historical record but remain statistically-possible.

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MIT engineers have built an AI tool that forecasts extreme weather without training on historical disaster data. Kai Chang, a mechanical engineering graduate student, and Professor Themis Sapsis developed the tool. It produces maps of events that have not appeared in a region's historical record but remain statistically-possible.

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