AI and Quantum Computing
2026-10-18
What if we could reliably predict extreme weather two to six weeks out?
MIT researchers just did — using AI to double forecasting accuracy beyond the so-called 'predictability desert.' Their Probabilistic Bias Correction (PBC) model not only beat climatological averages for the first time, but also improved predictions of extreme events like storms and cold snaps. This isn’t just weather — it’s a blueprint for how AI can learn from error in high-stakes systems. The model is open-source, low-cost, and already being tested by Kenya’s meteorological office for monsoon forecasting. This is the kind of real-world AI that reshapes infrastructure, agriculture, and emergency planning. How would you deploy such a system in your domain? Learn more: https://news.mit.edu/2026/researchers-improve-weather-forecasts-looking-two-six-weeks-out-1014
Source: https://news.mit.edu/2026/researchers-improve-weather-forecasts-looking-two-six-weeks-out-1014
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Source data: Source: MIT News · Published October 14, 2026
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Diane Hart Alexander, Chair & CEO, ALEX Companies · Designated Broker · #574877-B · George Arnold Alexander III, Director, ALEX Companies · Associate Broker · #574878-B
Texas Real Estate Commission Information About Brokerage Services · TREC Consumer Protection Notice · trec.texas.gov



