RSS feed source: Global Disaster Alert and Coordination Systems (GDACS).

From 06/08/2025 to 06/08/2025, a Tropical Storm (maximum wind speed of 130 km/h) IVO-25 was active in Atlantic. The cyclone affects these countries: [unknown] (vulnerability [unknown]). Estimated population affected by category 1 (120 km/h) wind speeds or higher is 0 (0 in tropical storm).

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RSS feed source: Global Disaster Alert and Coordination Systems (GDACS).

Postdoc Openings for Cardiovascular Fluid Mechanics

The Artificial Intelligence and Modeling Lab for Cardiovascular Diseases (AIMCardio Lab) at the Worcester Polytechnic Institute currently offers one Postdoc position. We are seeking highly motivated, dependable, and enthusiastic candidates with a passion for fluid-structure interaction—both computational and experimental—and its applications in cardiovascular diseases and medical devices. The initial appointment is for one year, with the potential for renewal based on satisfactory performance. 

The Artificial Intelligence and Modeling Lab for Cardiovascular Diseases (AIMCardio Lab) focuses on fluid-structure interaction (both computational and experimental) and its applications in cardiovascular diseases and medical devices. We have established long-standing collaborations with leading U.S. hospitals (e.g., Children’s Hospital of Philadelphia, Boston Children’s Hospital, UMass Chan Medical School, Children’s Hospital of Atlanta, Geisinger Medical Center) and prominent medical device companies (e.g., Abbott, Edwards Lifesciences, Boston Scientific, Medtronic). You can find more information about our

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RSS feed source: Global Disaster Alert and Coordination Systems (GDACS).

The U.S. National Science Foundation announced over $2 million in planning grants to support the development of artificial intelligence-ready test beds — real-world environments that will accelerate the design, evaluation and deployment of AI technologies across sectors critical to America’s economy and prosperity.

The initiative is a joint effort led by the NSF directorates for Computer and Information Science and Engineering (NSF CISE) and Technology, Innovation and Partnerships (NSF TIP), implementing a priority issued in the White House’s recent AI Action Plan to invest in secure, real-world settings that allow researchers to prototype new AI systems and translate them to the market.

“The AI-ready test beds program is uniquely NSF,” said Ellen Zegura, NSF acting assistant director for CISE. “It leverages critical, existing test environments to drive AI progress. This initiative not only builds the foundation for new breakthroughs in AI research but also helps bridge the gap between research and applications by connecting researchers with real-world challenges and enabling them to explore how AI can be most effectively applied in practice.”

As AI systems become increasingly integrated into areas ranging from emergency response to wireless networks, evaluating their reliability and performance beyond controlled settings is essential to developing long-term, impactful solutions that benefit the nation. NSF’s test bed investments ensure that AI breakthroughs are tested for impact, scalability and built to serve the public

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