From tropical forests to coastal reserves, destinations built around natural heritage are facing mounting pressure to manage tourism more precisely. The pandemic disrupted visitor flows and revealed ...

Kalshi and Polymarket say their prediction markets are not subject to gambling laws and taxes. The casino industry is ...

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...

Abstract: Mobile network traffic prediction is critical for efficient network management in 5G and future 6G systems. Federated Learning (FL) enables multiple base stations (BSs) to collaboratively ...

The AI model rapidly maps boundary conditions to molecular alignment and defect locations, replacing hours of simulation and enabling fast exploration and inverse design of advanced optical materials.

This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Prediction market apps are thriving in President Trump's second term, with traders betting on everything from migrant deportations to election outcomes. A look at what's driving the industry's boom.

Abstract: In the era of artificial intelligence, the complexity and diversity of data have posed unprecedented challenges for prediction tasks. Fuzzy information granules (FIGs) have emerged as a ...

The Pi Network ecosystem is experiencing significant momentum, with the native PI Price Prediction attracting renewed attention. The digital asset surged by over 20% in 24 hours following a massive ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...