Feature Stories
Updates every hour. Last Updated: 4-Jul-2025 13:10 ET (4-Jul-2025 17:10 GMT/UTC)
Beyond drought: A new approach to water security in a changing climate
Stanford UniversityAs water becomes more scarce and demand rises, researchers are pioneering a new management approach that can help avert disastrous drought impacts. By collaborating with experts in Chile, the team aims to provide policymakers with the tools needed to integrate long-term environmental and social changes into water governance and ensure resilience in a warming world.
- Funder
- Stanford Woods Institute for the Environment
Licensing evolves 30-year partnership, expanding ORNL innovation in security
DOE/Oak Ridge National LaboratoryResearch at risk: Keeping Navy divers safe with robot partners
Cornell UniversityResearch at risk: Protecting national defense from cyberattacks
Cornell UniversityCornell Professor Sarah Kreps talks about the impact of stop-work orders and Defense Department research focused on securing U.S. semiconductor supply chains -- vital for national defense, advanced AI systems, missile defense and crisis-proof communications.
Research at risk: Building our future in space
Cornell UniversityResearch at risk: Life-saving heart pumps for babies
Cornell UniversityTariffs reshape supply chains in unpredictable ways
University of Texas at AustinLearning at peak efficiency
Okinawa Institute of Science and Technology (OIST) Graduate UniversityThe information age is built on mathematics. From finding the best route between two points, over predicting the future load on a national power grid or tomorrow's weather, to identifying ideal treatment options for diseases, algorithms share a common structure: they take input data, process it through a series of calculations, and deliver an output. Powering the ongoing AI revolution are increasingly sophisticated algorithms, often composed of millions of lines of code. And the more steps a model goes through before presenting a solution, the costlier it is in the number of physical computing units, time, and energy required.
Optimizing these mathematical models is at the heart of the work of the Machine Learning and Data Science Unit (MLDS) at the Okinawa Institute of Science and Technology (OIST). Led by Professor Makoto Yamada, the unit strives to unlock the full potential of machine learning (ML) and improve efficiency, optimizing not just data science but also education and the scholarly output within the unit through a distributed hierarchy.
A new “geography of fire” defines southern wildfire risk
USDA Forest Service ‑ Southern Research Station- Journal
- Land