The 'Inconvenient Truths of Organizations' Exposed by the Bayesian Truth Serum (BTS) and the Surprisingly Popular MethodNo ...

Introduction About six months ago, I hit a wall while reviewing the results of an internal A/B test. When I presented the ...

Two of artificial intelligence’s most powerful yet fundamentally different tools are quietly merging, and a new open-access scientometric review has, for the first time, mapped exactly how fast, how b ...

New algorithms beat existing methods for synthesizing CNOT and Clifford circuits, crucial for quantum error correction.

The elegant mathematics of Harry Markowitz, while foundational, has become a fragile relic in an era defined by non-linear market regimes ...

A new arXiv preprint describes an evolutionary system that uses LLMs to generate complete multi-objective Bayesian optimization algorithms. Multi-objective optimization must balance several competing ...

MIT researchers have significantly accelerated design optimization across complex engineering challenges, achieving solutions 10 to 100 times faster than conventional methods in initial tests on ...

MIT machine learning model identifies most salient variables for performance improvements. The question of how AI will impact engineers in their professional lives as well as engineering as a ...

This webinar introduced healthcare researchers to Bayesian meta-analysis methods, challenging the perception that these methods are inaccessible to non-statistical researchers. The session ...

Abstract: This article proposes a novel constrained multiobjective evolutionary Bayesian optimization algorithm based on decomposition (named CMOEBO/D) for expensive constrained multiobjective ...