In 2022, global production of construction materials accounted for more than 7% of total carbon emissions. But how many of ...

Business users can now determine the best course of action under real-world constraints and uncertainty, with input ...

Arbor separates strategy from execution using isolated git worktrees, so engineering teams can finally trace which optimization actually moved the needle.

Abstract: As is well known, it is challenging to address the convergence for distributed constrained optimization problem, in particular when nonconvex constraints, nonuniform step-sizes (nonuniform ...

description [NeurIPS 2025][Image Generation][adversarial examples] This paper proposes InSUR, a multi-dimensional instruction uncertainty reduction framework that stabilizes adversarial optimization ...

When I interviewed dozens of successful writers for a book, I discovered that many of them experience anxiety or fear related to writing. Some of those feelings may be a result of needing to satisfy ...

Barney is a seasoned Data Executive at UniCredit with expertise in financial services, digital banking, AI and data modernization platforms. Successful leaders are not defined by the resources they ...

Each year when MD+DI editors sit down to discuss Medtech Company of the Year prospects, the companies that rise to the top for us tend to be those that have had a transformational year either through ...

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 ...

Abstract: For expensive constrained optimization problems (ECOPs), the evaluation of the objective and constraints are both expensive. Due to the low computational cost of the surrogate model and the ...