When AI health advice clashes with clinical judgment, trust is put to the test. Dr. Sahar Hashmi examines this growing ...

The image of the pomegranate has circulated through nearly every branch of culture–literature, religion, myth, and now the ...

The Northwestern CS Theory Group and Toyota Technological Institute at Chicago co-hosted the Junior Theorists Workshop held ...

For decades, modern banking systems have been built on a narrow definition of financial identity. You are considered “bankable” if you have a payslip, a formal employer, a credit history, collateral, ...

“Imagine a computation that produces a new bit of information in every step, based on the bits that it has computed so far. Over t steps of time, it may generate up to t new bits of information in ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based hybrids, revealing that hybrids give best-in-class routes ...

Theory is our basic scientific tool for establishing knowledge. It dictates how we conduct patient care, teaching, and research. 1 Once adopted, it simply becomes automatic, those guided by it ...

The original version of this story appeared in Quanta Magazine. Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price.

All of modern mathematics is built on the foundation of set theory, the study of how to organize abstract collections of objects. But in general, research mathematicians don’t need to think about it ...

Imagine a town with two widget merchants. Customers prefer cheaper widgets, so the merchants must compete to set the lowest price. Unhappy with their meager profits, they meet one night in a ...

Picture this: you’ve decided to host a dinner party. The guest list is small but important. You spend the week cleaning the house, polishing the silver, and making sure every detail reflects care. You ...

Abstract: We propose a low complexity forward selection algorithm for the sparse signal recovery (SSR) problem based on the sparse Bayesian learning (SBL) formulation. The proposed algorithm, called ...