POSTECH develops a platform for precise cellular control using "non-genetic DNA" decoupled from genetic information.

The National Institutes of Health has renewed support for Artificial Intelligence for Alzheimer’s Disease, or AI4AD. The new $12.6 million award to advance the project’s next phase, AI4AD2, brings its total investment in AI4AD to $30.7 million. Led by Paul M. Thompson, PhD, associate director of the USC Mark and Mary Stevens Neuroimaging and Informatics Institute (Stevens INI) at the Keck School of Medicine of USC, the multi-institutional initiative will develop artificial intelligence (AI) tools to uncover the biological causes of Alzheimer’s and related dementias, improve predictions of disease progression, and help develop more precise treatment options. AI4AD2 unites 10 investigators and 23 co-investigators from 10 institutions in pursuit of four interconnected research goals. The consortium will analyze large-scale datasets, including whole-genome sequencing, brain imaging, cognitive testing, and other biological data, to advance the diagnosis and treatment of dementia. This work builds on the original AI4AD initiative launched in 2020, which developed AI tools to detect Alzheimer’s-related patterns in brain scans and showed how machine learning can link imaging findings to underlying genetic risk. AI4AD2 will also develop new “genomic language models,” a type of AI inspired by the same broad family of technology used in language-based artificial intelligence systems. Instead of analyzing words, these models will analyze genomic sequences to identify combinations of DNA changes associated with Alzheimer’s disease, disease progression, and key biomarkers. The project will train and evaluate these methods using data from over 58,000 participants across 57 cohorts. In practical terms, that involves teaching AI to search vast genetic datasets for patterns that traditional methods could not identify.

Illinois Tech Assistant Professor of Computer Science Binghui Wang has been awarded the 2025 Distinguished Junior R&D Award by the Institute of Electrical and Electronics Engineers Chicago Section for his work in artificial intelligence and cybersecurity.

Ocean Discovery League (ODL) announces the launch of the Global Deep Sea Exploration Goals, an ambitious international effort to visually explore 10,000 strategically selected locations across the deep seafloor. When completed, this initiative will nearly double the number of unique seafloor locations ever visually observed and produce the first globally representative visual dataset of the deep ocean floor. 

The history of science and technology is marked by major breakthroughs — the theory of evolution, the splitting of the atom, the development of antibiotics — and a research team including faculty at Binghamton University, State University of New York, has developed a method to help pinpoint discoveries that reshaped the course of science. 

A study publishing in Science Advances on April 1 maps the landscape of innovation to identify disruptive studies and patents that challenge existing paradigms and inspire waves of follow-up research. The measure was developed by a team including Sadamori Kojaku, assistant professor of systems science and industrial engineering at Binghamton University, along with his colleagues Munjung Kim and Yong-­Yeol Ahn at the University of Virginia.

Funded by a three-year, $300,000 National Science Foundation grant, Associate Professor of Instructional Technology Dabae Lee developed an AI-powered agent system that simulates student interactions.