Over the years, data centers have reinvented themselves through virtualization, the cloud and AI. The next iteration is ...

One calculation probes complex behavior and yields a checkable result where classical simulation blows up in cost—vital for chemistry and medicine.

SharpSMT first fuses DPLL(T) polytope enumeration with new factorization, variable-elimination and caching pre-processing, ...

Abstract: The Travelling Salesman Problem (TSP) is a well known method for the optimisation problem that asks you to find the shortest route that visits each city in a set exactly once and then goes ...

You get smart. Then you get uncomfortably smart. That rare, off-the-charts, stop-everyone-in-their-tracks type of ...

Abstract: Existing dependent task offloading approaches mainly rely on centralized algorithms and are typically constrained to single-objective optimization. In addition, offloading fairness among fog ...

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 ...

Learn how to calculate the maximum projectile range using Python functions. This tutorial demonstrates step-by-step coding techniques to simulate projectile motion, optimize range, and understand ...

OpenAI's GPT-5.2 Pro has solved multiple decades-old Erdős math problems, but Fields Medalist Terence Tao says the wins ...