The “packing coloring” problem asks how many numbers are needed to fill an infinite grid so that identical numbers never get too close to one another. A new computer-assisted proof finds a surprisingly straightforward answer.
How fast is the universe expanding? And why is that expansion accelerating? Efforts to understand these questions rely critically on one particular type of supernova.
https://www.quantamagazine.org/what-lights-the-universes-standard-candles-20230208/
Artificial intelligence researchers have built a new class of “liquid” neural networks that process inputs in a nonlinear way. In certain scenarios, these networks handily outperform conventional neural networks. Steve Nadis reports: