Results 181 to 190 of about 67,874 (310)

StackingNet: Collective Inference Across Independent AI Foundation Models

Advanced Science, EarlyView.
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li, Chenhao Liu, Dongrui Wu, Zhigang Zeng, Lieyun Ding   +4 more
wiley   +1 more source

Origami Metamaterials Based on Low‐Melting‐Point Alloy Phase Transition: Breaking the Trade‐Off Between Reusability and Energy Absorption Quality

Advanced Science, EarlyView.
This work presents an origami metamaterial that integrates a low‐melting‐point alloy skeleton into an elastomeric shell. It dissipates energy through the metal's plastic deformation and recovers through the solid–liquid phase transition of the alloy together with the hyperelasticity of the shell.
Yupeng Liu, Wei Zhao, Chengjun Zeng, Jiuming Fan, Yanju Liu, Jinsong Leng   +5 more
wiley   +1 more source

Robust Solutions of Optimization Problems Affected by Uncertain Probabilities [PDF]

In this paper we focus on robust linear optimization problems with uncertainty regions defined by ø-divergences (for example, chi-squared, Hellinger, Kullback-Leibler).
De Waegenaere, A.M.B., Rennen, G., Melenberg, B., Ben-Tal, A., Hertog, D. den   +4 more
core   +1 more source

Optimization of Sparse Cross Array Synthesis via Perturbed Convex Optimization. [PDF]

Sensors (Basel), 2020
Gu B, Chen Y, Jiang R, Liu X.
europepmc   +1 more source

Human‐Guided Bayesian Optimization Enables High‐Throughput Laser Annealing of Mesoporous SiOx Anodes for Lithium‐Ion Batteries

Advanced Science, EarlyView.
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park, Yeongje Lee, Sunho Jeong, Eungkyu Lee   +3 more
wiley   +1 more source

Accelerated Stochastic Conjugate Gradient for a class of convex optimization. [PDF]

PLoS One
He L, Du Y.
europepmc   +1 more source

Optimization of Mixed Energy Supply of IoT Network Based on Matching Game and Convex Optimization. [PDF]

Sensors (Basel), 2020
Han D, Liu T, Qi Y.
europepmc   +1 more source

Bistable Networks Enable Complex Shape Changes

Advanced Science, EarlyView.
Transition‐controlled metamaterials are networks of bistable mechanical memory that store local binary states and express them as global shape change. By decoupling low‐force programming from high‐force holding, a single lattice is reconfigured into distinct 2D profiles and 3D surfaces without continuous actuation, enabling reusable morphing materials ...
Sawyer Thomas, Jeffrey Lipton
wiley   +1 more source

A comprehensive view on optimization: reasonable descent [PDF]

Reasonable descent is a novel, transparent approach to a well-established field: the deep methods and applications of the complete analysis of continuous optimization problems.
Brinkhuis, J.
core   +1 more source

Fast Reflected Forward-Backward algorithm: achieving fast convergence rates for convex optimization with linear cone constraints. [PDF]

J Sci Comput
Boţ RI, Nguyen DK, Zong C.
europepmc   +1 more source