For more than a century, the double-slit experiment has been the sharpest test of what reality is made of, and of whether ...

A large-scale model study now shows how the global food system can contribute to the fight against global heating. It ...

Mathematics has always stood quietly behind great changes, and the rise of AI is no different. As machines learn through ...

Unlike the linear sprints of Agile, CAIL is a "contracts-first" framework designed to tame the probabilistic nature of AI ...

Eagle AI Labs, a fast-growing developer of advanced predictive AI systems for digital asset markets, announces the o ...

Abstract: In many product development problems, the performance of the product is governed by two types of parameters: design parameters and environmental parameters. While the former is fully ...

Ising machines demonstrate significant potential to tackle computationally complex challenges, including combinatorial optimization problems related to logistics, manufacturing, finance, and AI. The ...

This is the community edition of GenJAX, a probabilistic programming language in development at MIT's Probabilistic Computing Project. We recommend this version for stability, community contributions, ...

Life is uncertain. None of us know what is going to happen. We know little of what has happened in the past or is happening now outside our immediate experience. Uncertainty has been called the ...

Imagine a world where your computer doesn’t just work harder but smarter, tapping into the very chaos that surrounds us. It’s not science fiction—it’s the dawn of probabilistic and thermodynamic ...

ABSTRACT: This paper examines the utilization of machine learning methods to predict the values of valuable metals, specifically gold, silver, palladium, and platinum, from 2017 to 2023. Accurate ...

Do you use these mental models for efficient decision-making in your daily life? If not, you’re missing out on the opportunity to make more thoughtful and informed choices. Mental models are cognitive ...