EurekAlert! News by Subject: Mathematics - News by Subject: Mathematics

Mathematics

Updates every hour. Last Updated: 25-Dec-2025 21:11 ET (26-Dec-2025 02:11 GMT/UTC)

22-Oct-2025

Researcher cracks new ‘kissing number’ bounds — besting AI in the process

Aalto University
Peer-Reviewed Publication

How many coins can touch one coin, or how many basketballs can ‘kiss’ one basketball at the same time? This seemingly playful question lies at the heart of the famous kissing number problem, a mathematical riddle that becomes almost supernaturally difficult to work out in dimensions beyond 4D. Breaking a 20 year drought, an Aalto University researcher found three new bounds for the famous mathematical ‘kissing number’ dilemma –– and AI managed to find just one.

Journal: Linear Algebra and its Applications

22-Oct-2025

Von Kaven Award goes to mathematician Andrii Mironchenko

Deutsche Forschungsgemeinschaft
Grant and Award Announcement

DFG recognises work in mathematical systems theory / Award ceremony to be held on 29 October in Bochum in connection with the Gauss Lecture of the German Mathematical Society

21-Oct-2025

Global supply chains benefit most from who you know

University of British Columbia Okanagan campus
Peer-Reviewed Publication

In a time of tariffs and political trade disputes, new UBC Okanagan research shows that it’s not what you know but who you know.

And how well you treat them.

The research demonstrates that strong and strategic international alliances—not just diversification—are key to protecting supply chains from political trade disruptions.

21-Oct-2025

Who watches the AI watchman?

University of Waterloo
Peer-Reviewed Publication

As artificial intelligence (AI) takes on increasingly critical roles — from managing power grids to piloting autonomous vehicles — making sure these systems are safe has never been more important. But how can we be certain that the AI controlling them can be trusted?

A research team at the University of Waterloo is addressing this question using tools from applied mathematics and machine learning to rigorously check and verify the safety of AI-driven systems.