China is accelerating its push toward a consumption-led economic model, with policymakers identifying the expansion of ...

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...

Data Factor, New Quality Productive Forces, Industry-University-Research Cooperation, Industrial Structure Optimization Share ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Led by Alex Zhavoronkov, PhD, Founder and CEO of Insilico Medicine, and Petrina Kamya, PhD, Global Head of AI Platforms, Insilico’s experienced team will participate in the conference. Insilico ...

Business leaders are expected to make confident, evidence-based decisions while guiding teams that work across product, operations, finance, and marketing. The right program helps you ask sharper ...

Amazon just announced its new AI PhD Fellowship program, which will provide two years of funding for more than 100 PhD students at nine universities who are pursuing research on core AI disciplines ...

Portfolio optimization is the process of selecting the best portfolio (asset distribution), out of the set of all portfolios being considered, according to some objective. The objective typically ...

ABSTRACT: In this paper, we investigate the convergence of the generalized Bregman alternating direction method of multipliers (ADMM) for solving nonconvex separable problems with linear constraints.

Abstract: Robust optimization (RO) has been widely used in the hydrogen-data-center microgrid (H2-DCMG) optimal operations. However, the operation results based on RO are too conservative. Statistical ...