VUB's Data Analytics Lab has published new results showing that it is possible to develop original mathematical proofs using commercial language models. In a paper posted to the arXiv preprint server, ...

Beyond its methodological contribution, the study offers new insights into how stimulus-driven variability and internally generated gain fluctuations evolve over time and between brain areas. The ...

Learn about compound interest. We will look at how to determine the final value, initial value, interest rate and years ...

This technical FAQ examines three modeling gaps identified in engineering literature and outlines algorithmic methods to address them.

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

The question is no longer whether AI will affect small and midsize businesses. It’s how—and how fast.

Brands like Bentley have, for over a century, been the gold standard for opulence and prestige on four wheels. The formula for making its luxury barges has changed little, with tons of leather, acres ...

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) ...

Abstract: Data-driven deep learning techniques have made notable advancements in modeling electromagnetic (EM) scattering problems. owever, its accuracy on the testing dataset can be heavily reduced ...

The first reason to doubt the doomer scenario for AI and unemployment is that it keeps not happening. Or, more precisely: ...