Unified repository for Spectral Complexity Theory — papers, tools, datasets, and the visualization platform for analyzing problem solvability and logical structure.

Modern AI excels at pattern recognition but suffers when faced with logical reasoning tasks. What happens when we ask a neural network to solve a Sudoku puzzle from an image, verify a mathematical ...

From the UCSB The Current article "Innovative Hardware for Rapidly Solving High-order Optimization Problems" The rise of AI, graphic processing, combinatorial optimization, and other data-intensive ...

Automated reasoning (AR) is a branch of artificial intelligence that applies various reasoning techniques to solve problems from mathematics and logic. AR engines use clever optimizations and ...

I consider myself a computer science (CS) theoretician, but Wikipedia describes me as a “mathematician and computer scientist.” a So, what am I? To answer that question, we must consider theoretical ...

Add a description, image, and links to the boolean-satisfiability topic page so that developers can more easily learn about it.

It’s important to remember that what you read in this article will be irrelevant to most people, most likely including you. Thanks to Carnegie Mellon’s draconian swipe-ID policies, I can be very ...

We are interested in benchmarking both quantum annealing and classical algorithms for minimizing quadratic unconstrained binary optimization (QUBO) problems. Such problems are NP-hard in general, ...