On Tuesday, August 12, 2025, the University of Pittsburgh Cyber Energy Center and Pitt Cyber hosted “Transforming Cybersecurity: A Multidisciplinary Approach to Risk, Technology, and Policy.” The in-person, day-long workshop brought together experts from across industries and disciplines to assess the current state of cybersecurity through a multidisciplinary lens.

Families, particularly those already vulnerable to food insecurity, can face difficulties obtaining food in the aftermath of natural disasters. University of Houston researchers will utilize artificial intelligence to develop an online resource for food pantries, aiming to streamline stakeholder collaboration and distribute resources to families in need.

A new technology, presented by University at Buffalo scientists in a study published in Nature Communications, centers on a pig enzyme called ST3Gal1. Researchers retrained it to bind to glycans instead of building them. This new glycan-binding enzyme, which scientists named sCore2, could help analyze and treat diseases via sugar patterns found on the surface of cells.

The SETI Institute awarded the Davie Postdoctoral Fellowship for AI/ML-driven exoplanet discovery to Isabel Angelo. Machine learning is changing the way we search for exoplanets and making it possible to discover patterns in massive datasets. Angelo’s research will refine and expand ML-driven pipelines for detecting exoplanets, and she will work with SETI Institute researcher Dr. Vishal Gajjar and his team and collaborators at the SETI Institute and IIT Tirupati in India.

The project will enhance supervised Convolutional Neural Network (CNN) architectures and integrate anomaly-detection techniques to identify subtle or unconventional exoplanet candidates hidden in massive datasets. These could include ringed or disintegrating worlds, exocomets, complex multi-planet systems and possibly signs of alien megastructures.