Don't underestimate the power of a yes-or-no question. Some of the toughest computing problems boil down to thousands of tiny ...

Computer-generated holography (CGH) provides an approach to digitally modulate a given wavefront. This technology, partly inherited from optical holography and partly advanced by the progress of ...

Using a real operational dataset from Deutsche Bahn, a schedule of 190 trips across five German cities translating into ...

Memristor-based chips could solve demanding optimization problems far faster and with less energy by replacing dense ...

Alessio Figalli studies optimal transport, a field of math that ranges from the movements of clouds to the workings of chatbots. By Siobhan Roberts The words “optimal” and “optimize” derive from the ...

Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

We walk through an optimization problem step by step, clearly explaining how to identify variables, set up the correct function, apply derivatives, and find maximum or minimum values. Each step is ...

In mid-May, OpenAI announced that an internal AI model had disproved the Erdős unit distance conjecture, a famous problem in discrete geometry that had stumped human mathematicians for the last 80 ...

AMD's MEXT acquisition is an efficiency upgrade for data centers, not a disruption to the AI memory market.