News

A 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%

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.…

New survey finds significant link between 'new right' outlets and vaccine hesitancy

Engineers find that LLMs can partially mimic human driving and decision-making behavior and align most closely with younger, more aggressive drivers

As electricity demand surges across the United States, a Johns Hopkins University initiative is helping states move faster—and more affordably—to expand grid capacity. The project, known as Leadership in Grid…

A team led by Johns Hopkins University researchers has developed a new AI-based model to improve bicycle safety and infrastructure

Xu is using AI to simulate and predict human behavior during wildfire evacuation, allowing for improved planning and safety measures

Johns Hopkins is part of the new multi-institution Learning Accelerated Domain Sciences (LEADS) Institute, a Department of Energy-funded collaborative initiative focused on reshaping how artificial intelligence supports scientific discovery. Supported through the Scientific Discovery…

A team of researchers from Johns Hopkins University shows a statistical link between vaccination exemption policies and declining U.S. measles-mumps-rubella vaccination rates

Engineers develop a new model to improve building integrity ahead of natural disasters

Johns Hopkins-led effort offers powerful new tool to aid health policy by integrating personal decision-making into disease prediction model

The framework improves accuracy of detection while running faster on embedded hardware