Anyone with a chronic illness understands the struggle of living with a disease that is deeply unpredictable. Many such ...

Editor's note: The SCM thesis Buffer or Suffer: Dynamic Multi-Echelon Inventory Optimization in Action was authored by Vi ...

Efficient Large Displacement/Large Rotation Dynamic Simulations Using Nonlinear Dynamic Substructures Utilizing reduced-order ...

Despite significant mathematical refinements, econometrics has shown the weaknesses of its logical underpinnings, primarily ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce ...

D-Wave Quantum Inc. (NYSE: QBTS) (“D-Wave” or the “Company”), the only dual-platform quantum computing company, providing both annealing and gate-model systems, software, and services, today announced ...

U.S. grid owners are investing in cost-efficient grid enhancements and virtual power plant schemes to help meet soaring ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the “Company”), a technology service provider, released a core quantum machine learning technology oriented toward sequential learning tasks—the ...

Thermally integrated Carnot battery (TI-CB) systems offer unique advantages for industrial waste heat recovery, but their ...

In an era where artificial intelligence (AI) and machine learning (ML) are driving unprecedented innovation and efficiency, a ...

Deep brain stimulation (DBS) is an established treatment for movement disorders and an expanding therapy for several neuropsychiatric conditions, yet its mechanisms of action remain incompletely ...

Abstract: The sparse identification of nonlinear dynamics (SINDy) approach can discover the governing equations of dynamical systems based on measurement data, where the dynamical model is identified ...