Mathematician Richard Evan Schwartz of Brown University tackled the problem in a recent study by working backward from an existing polyhedral torus to answer questions about what would be needed to ...

A new study suggests that artificial intelligence systems approach strategic decision-making with a higher degree of ...

Consider the marvelous physics of the human knee. The largest hinge joint in the body, it has two rounded bones held together ...

AI will serve humanity only if we endow our creations with moral restraint rather than mathematical optimization.

Fixstars Amplify Benchmark is a framework for benchmarking the performances of solvers for quadratic unconstrained binary optimization problems (QUBO). It provides a command line interface to perform ...

Long sales cycles, low conversion volume, and multi-stage purchase journeys make measurement and attribution harder, creating real obstacles to campaign optimization. For B2Bs and brands selling ...

The Direct Preference Optimization (DPO) method and its various variants have recently been shown to perform well on general instruction tuning tasks. These methods focus on optimizing models directly ...

Supply chains consist of imperfect humans struggling to make perfect decisions. In the end, though, it all comes down to a game of numbers. That, at least, is the theory behind mathematical ...

Search optimization now requires combining traditional SEO with AI-focused GEO and answer-driven AEO strategies AI search usage continues to grow, with 10% of US consumers currently using generative ...

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

When estimating a treatment effect from observational data, researchers encounter bias regardless of estimation methods. In this paper, we focus on a particular method of estimation called Balance ...