When a crowd gets something right, like guessing how many beans are in a jar, forecasting an election, or solving a difficult ...

Most rural Nebraskans are aware of the use of algorithms in online media and have some concerns about their use, according to results from the 2025 Nebraska ...

Mathematicians are still trying to understand fundamental properties of the Fourier transform, one of their most ubiquitous ...

CFOs trust AI for 99% of tasks but demand human oversight. Learn how the latest wave of fintech startups are approaching ...

What makes Vivek Shah's story resonate so deeply is that his commitment to quality and alignment extends far beyond the realm of algorithms. Alongside his demanding role steering Gauge AI, he is the ...

AI-native neobanks have started to position themselves as the answers to static savings accounts by implementing algorithms ...

Have a problem with many competing variables? Why not solve it with a computer algorithm based on cooling metal? Hosted by: ...

OpenAI's GPT-5.2 Pro has solved multiple decades-old Erdős math problems, but Fields Medalist Terence Tao says the wins ...

The Traveling Salesman Problem (TSP), a quintessential challenge in computational theory, involves finding the shortest route that visits each city exactly once before returning to the starting point.

Abstract: The increasing complexity of educational challenges in technical disciplines highlights the need for personalized learning systems to address diverse student needs. Traditional methods, ...

Abstract: This paper presents a novel neural network-based optimization framework, NNDE, to solve the traveling salesman problem (TSP). The core idea is to use a radial basis function network (RBFN) ...