University of Pittsburgh researchers Melissa Bilec, Federica Geremicca, and John Brigham, with University of Central Florida's Alessandro Fascetti, have built an interactive digital twin of Pitt’s Mascaro Center that allows users to “walk” through a 3D version of the building and assess energy use, air quality, and the materials in real time. Their research is advancing how we build, maintain, and automate buildings more sustainably.

UCLA  students developed new software and hardware tools that streamline a traditionally time-consuming step in synthetic biology research - helping scientists deliver genetic material into cells more quickly, efficiently, and with far less manual work. This innovation will help accelerate research workflows for scientists in both academia and industry, while also expanding the potential for more autonomous biotech labs in the future.

As densely populated coastal communities struggle to keep up with rising sea levels, new research reveals a way to predict how river deltas build land and protect coastal regions from encroaching oceans. This insight will help engineers and policymakers estimate how much new land can be created or maintained when human intervention is used to redirect river channels, making these efforts more effective for coastal restoration and flood protection.

A study of ancient lake sediments reveals that a recent wildfire high in the Rwenzori Mountains was the first in 12 millennia, signaling a novel threat to Africa’s unique alpine ecosystems.

MIT researchers developed a way to precisely move columns of individual atoms within a material, to produce exotic quantum properties. The approach works in minutes at room temperature, and could aid the development of stable quantum devices.

Researchers at the University of Pennsylvania have developed ApexGO, an AI-powered method for improving promising but imperfect antibiotic candidates. Unlike many AI approaches that screen databases for molecules that might work, ApexGO starts with a small number of starter molecules and makes step-by-step edits, using a predictive algorithm to guide the search toward stronger versions. In tests against disease-causing bacteria, 85% of the AI-generated molecules halted bacterial growth, while 72% outperformed the peptides from which they were derived. The work points toward a more systematic approach to antibiotic discovery, using AI to guide researchers toward molecules most worth testing.