Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...

The percentage of failing grades in multiple UC Berkeley computer science classes in spring 2026 is significantly higher than past semesters and marks a departure from the department’s grading ...

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 ...

Abstract: Differential evolution (DE) is a widely recognized method to solve complex optimization problems as shown by many researchers. Yet, nonadaptive versions of DE suffer from insufficient ...

The US government is preparing to funnel $2 billion into quantum computing companies, and it’s not just writing checks. Washington plans to take equity stakes in the firms it backs, a move that looks ...

Artificial intelligence (AI) is reshaping work—especially in technical and knowledge-intensive fields—by automating routine tasks and increasing the value of quantitative reasoning and systems ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

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The tipping point came in the summer of 2025. That July, several artificial intelligence models solved five out of six problems at the International Mathematical Olympiad, an annual challenge for some ...

The original version of this story appeared in Quanta Magazine. Standing in the middle of a field, we can easily forget that we live on a round planet. We’re so small in comparison to the Earth that ...

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 ...