With the CBSE Class 12 Math exam on March 9, 2026, approaching, students are urged to focus on conceptual clarity and smart revision. Teachers emphasize mastering calculus, core algebra, vectors, and ...

Probabilistic Programming is a way of defining probabilistic models by overloading the operations in standard programming language to have probabilistic meanings. The goal is to specify probabilistic ...

We study machine learning formulations of inductive program synthesis; given input-output examples, we try to synthesize source code that maps inputs to corresponding outputs. Our aims are to develop ...

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

1 Management and Decision Engineering Laboratory (MDE-Lab), Department of Financial and Management Engineering, School of Engineering, University of the Aegean, Chios, Greece 2 School of Economic ...

Candidates are frustrated. Employers are overwhelmed. The problem? An untenable pile of applications — many of them generated with the help of A.I. tools. By Sarah Kessler Katie Tanner, a human ...

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, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Satellite data provides essential insights into the spatiotemporal distribution of CO ...

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: Statistical biases may be introduced by imprecisely quantifying background radiation reference levels. It is, therefore, imperative to devise a simple, adaptable approach for precisely ...