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 ...
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 ...
Abstract: Multi-machine collaboration in agricultural machinery is a key focus in current research, with task allocation being an indispensable component. However, the current optimization objectives ...
OpenAI's GPT-5.2 Pro has solved multiple decades-old Erdős math problems, but Fields Medalist Terence Tao says the wins ...
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) ...