Despite rising investments, global discovery rates for new mineral deposits have continued to fall. Many near surface ...

Climate scientists and advocates long held an optimistic belief that once impacts became undeniable, people and governments would act. This overestimated our collective response capacity while ...

Quantum computers promise to solve problems that overwhelm classical machines, but their most stubborn obstacle is noise that scrambles fragile quantum states before any useful answer emerges. A new ...

A normative computational model of individual differences in mouse exploration driven by reward and threat uncertainty as well as risk sensitivity when faced with a novel object in an open field.

Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Ramanujan's pi-computing machinery exactly mirrors the necessary structure in modern physical theories (LCFTs).

Are you a mid high-tier normie or subhuman? Explaining the guide to attractiveness that's blowing up on TikTok.

The means by which supermassive black holes form and grow have remained largely unclear. Numerical simulations show that the collision of massive galaxies can naturally lead to the creation of these ...

Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...

Abstract: The event-triggered scheme (ETS) has been widely used for sensor data scheduling in cyber-physical systems. Existing literature on the design of ETSs for packet drops deals with the issue of ...

This project focuses on building a predictive model to classify whether an industrial machine is working or broken based on sensor readings and operational parameters. The workflow includes: Data ...