Probability theory has long provided a rigorous framework for quantifying uncertainty, yet its extension to infinite sets introduces profound conceptual challenges and opportunities. Contemporary ...

Probability theory forms the mathematical backbone for quantifying uncertainty and random events, providing a rigorous language with which to describe both everyday phenomena and complex scientific ...

Quantum mechanics and relativity are the two pillars of modern physics. However, for over a century, their treatment of space ...

Blaise Pascal independently rediscovered classical geometry at the age of 12 despite a ban on formal maths studies. His early ...

Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...

Rebecca Newberger Goldstein’s “The Mattering Instinct” is an attempt to place human self-understanding on a new footing. We ...

Quantum walks sound abstract, but they sit at the center of a very concrete race: who will harness quantum mechanics to solve problems that overwhelm today’s most powerful supercomputers. Instead of ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

Four ways of ending life remain or have become legal in the eyes of at least some of the United States, notes the aut ...

This valuable study links psychological theories of chunking with a physiological implementation based on short-term synaptic plasticity and synaptic augmentation. The theoretical derivation for ...

This title is part of a longer publication history. The full run of this journal will be searched. TITLE HISTORY A title history is the publication history of a journal and includes a listing of the ...

Holly Cummins gave a keynote at Goto Copenhagen where she urged developers to care about overlooked issues that shape their ...