Generating scenarios for extreme events, without extreme data
A new algorithm learns to anticipate the unprecedented scenarios that critical infrastructure and global supply chains are least prepared for.
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Climate
Sixteen new START.nano companies are developing hard-tech solutions with the support of MIT.nano
Startup accelerator program grows to over 30 companies, almost half of them with MIT pedigrees.
Read MoreThe Map of U.S. Prosperity Is Changing. Here’s Where Companies Should Invest.
A new research-backed index of American cities can help companies navigate issues such as demographic decline, climate shock, and AI disruption.
Read MoreDecoding the Arctic to predict winter weather
With the help of AI, MIT Research Scientist Judah Cohen is reshaping subseasonal forecasting, with the goal of extending the lead time for predicting impactful weather.
Read MoreClimate Rising: Extending Apparel Lifespan with ThredUp
The business model, brand strategy, and AI tools powering one of the largest secondhand clothing platforms.
Read MoreHow artificial intelligence can help achieve a clean energy future
AI supports the clean energy transition as it manages power grid operations, helps plan infrastructure investments, guides development of novel materials, and more.
Read MoreThe Mars Playbook for Sustainability
How the century-old, family-owned company pursues positive social impact, including ambitious climate-change targets, while continuing to grow profits.
Read MoreExplained: Generative AI’s environmental impact
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
Read More2024 Was a Bad Year for Sustainability
Notable companies retreated from their climate and social responsibility commitments — plus other defining themes.
Read MoreBusiness Tapped Out of the Climate Fight. Here’s How to Get Back In.
Four strategies to drive real progress.
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