Mark Levi provides several geometrical proofs for a geometric sum formula. 

To understand insect flight, researchers study aerodynamics, evolution, and the biological workings of insect bodies.

Researchers borrowed techniques from epidemiology for a multidisciplinary approach to modeling elections.

The desire to understand and predict sea ice raises the question of whether more complex models can address the many concerns.

Mathematical tools can help design effective shields systems against COVID-19's second wave.

Researchers are developing predictive mathematical models to find optimal treatments for infections in infants.

The mutually beneficial relationship between deep learning and applied mathematics could help solve ongoing problems in both fields.

Jenny Morber discusses how game theory reveals the difficulty of preventing foreign interference in elections.

The SPPEXA program in Germany addressed fundamental aspects of high-performance computing software. 

Is it possible to achieve a desired guiding of stress in a cable network under tension by geometry alone?

Mark Levi presents a physical implementation of the Cauchy-Schwarz inequality with Hookean springs. 

Deep learning is beginning to find applications in every domain of science and engineering. 

A new model investigates how travel or limits on mobility impact the extent of an infection’s spread in a patchy population.

Fractional calculus can help identify pathways for repurposing existing drugs to target important proteases in the COVID-19 virus.

Recent advances in physiological models could help practitioners overcome limitations in precision medicine.