AI & Machine Learning

How We Forecast Pollen at Planetary Scale

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Atmospore has developed a global pollen forecasting model that predicts pollen levels at the species level, providing more precise information for allergy sufferers. The model operates at a 25 km resolution, capturing mesoscale weather patterns that significantly influence pollen distribution, making it highly accurate and useful for those sensitive to specific types of pollen. Developers can now integrate this data into health apps or other platforms through Atmospore's API, enhancing user-specific environmental tracking features.

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How We Forecast Pollen at Planetary Scale

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[AINews] The Unreasonable Effectiveness of Closing the Loop

How IKEA got closer to its shoppers with new small-format stores, Best Buy partnership

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