Recent News
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Gardner’s measles research uses a systems approach to understand disease risk by bridging population-level outbreak data, vaccination rates, and policy with individual-level information consumption and vaccination behaviors
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Rising energy needs throughout the U.S. come with the challenge of improving and innovating our energy infrastructure. For electrical power, this means the plants, power lines, equipment and other technology…
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New AI-based methodology optimizes data center energy consumption to realize cost and energy savings
CategoriesA team of researchers, including Johns Hopkins’ Ján Drgoňa, has developed a machine learning control method to make real-time operational decisions for chiller plants, reducing data center energy use by nearly 12%
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The AI-integrated model links multiscale, microstructural changes to specific instances of failure before visible cracks can be detected
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Quickly predicting how structures will respond to natural hazards, such as earthquakes and hurricanes, has long been one of civil engineering’s toughest challenges, requiring significant computational resources and time-consuming simulations.…
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A new study by researchers at Johns Hopkins University’s Renewable Energy and Equity Worldwide Laboratory (RENEW), together with collaborators with partners in Kenya found that green hydrogen in Kenya may be most valuable…
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Can AI agents drive better than humans? Hopkins engineers put large language models behind the wheel
CategoriesEngineers find that LLMs can partially mimic human driving and decision-making behavior and align most closely with younger, more aggressive drivers
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As taller mass timber buildings become more common, researchers investigate their structural response to fires to develop safer building designs and fire resistance specifications
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As part of a congressionally funded project, researchers at Johns Hopkins are using a cutting-edge liquid metal extrusion system—hitherto unused in any U.S. academic research laboratory—to facilitate the development of alloy structures that are crucial to MSEE’s mission.
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Xu is using AI to simulate and predict human behavior during wildfire evacuation, allowing for improved planning and safety measures