Then it’s kind of a mystery to try to figure out why and how they’re related.” The Riemann hypothesis has proved to be a font ...

A new quantum-inspired algorithm has cracked a problem so massive that conventional supercomputers struggle to even approach ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...

The State of the Union will never favor the minority party. By tradition and design, the annual address to a joint session of Congress has morphed into a lengthy free advertisement for the incumbent ...

Abstract: The Sensor-Weapon-Target Assignment (SWTA) problem in modern air defense systems requires simultaneous optimization of sensor allocation, weapon assignment, and temporal coordination under ...

Artificial intelligence (AI) is the new arms race and the centerpiece of defense modernization efforts across multiple countries, including the United States. Yet, despite the surge in AI investments, ...

In a standard paper assignment setting, a set $\mathcal{P}$ of $n^{(p)}$ papers needs to be assigned to a set $\mathcal{R}$ of $n^{(r)}$ reviewers. To ensure each ...

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...

It’s been difficult to find important questions that quantum computers can answer faster than classical machines, but a new algorithm appears to do it for some critical optimization tasks. For ...

The original version of this story appeared in Quanta Magazine. Computer scientists often deal with abstract problems that are hard to comprehend, but an exciting new algorithm matters to anyone who ...