The Ethereum co-founder argues that prediction markets’ current focus on short-term crypto bets is putting them on a path to ‘corposlop.’ ...

Model folder contains ONE models for solving different PDEs: (1) FNO_DONN_2d_v4_1_layer_32_channel_fresnel.py for Darcy flow equation. (2) FNO_DONN_2d_v4_1_layer_32_channel_fresnel_mag_gelu.py for ...

A famous legend claims Abraham de Moivre calculated the exact date of his death using a sleep pattern formula. But did he truly predict it, or is history hiding a myth?

Abstract: Artificial Neural Networks (ANNs) are a widely used and powerful tool for modeling and predicting various processes across society, industry, and nature. In recent decades, ANNs have found ...

Abstract: This Landslide susceptibility prediction is a critical task for Alleviating the risks associated with landslide hazards, which have significant socio-economic and environmental impacts.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Satellites and spacecraft in the vast region between Earth and the moon and just beyond—called cislunar space—are crucial for ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

The Law of Mass action predicts that all adverse drug reactions are related to the concentration of the drug at the site of action, and therefore to the administered dose. In other words, there is no ...

Conclusions: Generative AI use for health information is currently driven by early adopters—those who find it useful, easy to integrate, enjoyable, and have the necessary skills and infrastructure to ...