Results 71 to 80 of about 226,203 (262)

Bistable Mechanisms 3D Printing for Mechanically Programmable Vibration Control

Advanced Engineering Materials, EarlyView.
This work introduces a 3D‐printed bistable mechanism integrated into tuned mass dampers (TMDs) for mechanically adaptive passive vibration suppression. Through optimized geometry, the bistable design provides adaptable vibration reduction across a broad range of scenarios, achieving effective vibration mitigation without complex controls or external ...
Ali Zolfagharian, Frédéric Demoly, Mohammad Lakhi, Bernard Rolfe, Mahdi Bodaghi   +4 more
wiley   +1 more source

Symbiotic Tuning: A Simple Approach for Enhancing Task Performance of Side-Tuning

IEEE Access
Reducing computational and memory overhead in fine-tuning large language models remains a significant challenge in natural language processing. While parameter-efficient fine-tuning (PEFT) methods, such as LoRA, have gained attention for reducing ...
Zhi-Quan Feng, Ying-Jia Lin, Kun-Ta Chuang, Hung-Yu Kao   +3 more
doaj   +1 more source

Parameter-Efficient Continual Fine-Tuning: A Survey

The emergence of large pre-trained networks has revolutionized the AI field, unlocking new possibilities and achieving unprecedented performance. However, these models inherit a fundamental limitation from traditional Machine Learning approaches: their strong dependence on the \textit{i.i.d.} assumption hinders their adaptability to dynamic learning ...
Coleman, Eric Nuertey, Quarantiello, Luigi, Liu, Ziyue, Yang, Qinwen, Mukherjee, Samrat, Hurtado, Julio, Lomonaco, Vincenzo   +6 more
openaire   +2 more sources

Gradient Inversion Attacks on Parameter-Efficient Fine-Tuning

2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2025)
Sami, Hasin Us, Sen, Swapneel, Roy-Chowdhury, Amit K., Krishnamurthy, Srikanth V., Guler, Basak   +4 more
openaire   +2 more sources

Enhancing Corrosion Resistance and Mechanical Strength of 3D‐Printed Iron Polylactic Acid for Marine Applications via Laser Surface Texturing

Advanced Engineering Materials, EarlyView.
Laser surface texturing significantly improves the corrosion resistance and mechanical strength of 3D‐printed iron polylactic acid (Ir‐PLA) for marine applications. Optimal laser parameters reduce corrosion by 80% and enhance tensile strength by 25% and ductility by 15%.
Mohammad Rezayat, Mojtaba Karamimoghadam, Mohammadreza Lalegani Dezaki, Ali Zolfagharian, Giuseppe Casalino, Antonio Mateo, Mahdi Bodaghi   +6 more
wiley   +1 more source

FiLM: Visual Reasoning with a General Conditioning Layer

, 2017
We introduce a general-purpose conditioning method for neural networks called FiLM: Feature-wise Linear Modulation. FiLM layers influence neural network computation via a simple, feature-wise affine transformation based on conditioning information.
Courville, Aaron, de Vries, Harm, Dumoulin, Vincent, Perez, Ethan, Strub, Florian   +4 more
core   +1 more source

Quantum-PEFT: Ultra parameter-efficient fine-tuning

ICLR ...
Koike-Akino, Toshiaki, Tonin, Francesco, Wu, Yongtao, Wu, Frank Zhengqing, Candogan, Leyla Naz, Cevher, Volkan   +5 more
openaire   +2 more sources

Trace Nickel Activated Biphasic Core‐CuOii/Shell‐CuOi Secondary Microspheres Enable Room Temperature Parts‐Per‐Trillion‐Level NO2 Detection

Advanced Engineering Materials, EarlyView.
An idea of designing novel sensors is proposed by creating appropriate Schottky barriers and vacancies between isomorphous Core‐CuOii/ Shell‐CuOi secondary microspheres and enhancing catalytic and spill‐over effects, and electronegativity via spontaneous biphasic separation, self‐assembly, and trace‐Ni‐doping.
Bala Ismail Adamu, Peipei Chen, Shafia Mukhtar Ibrahim, Mukhtar Lawan Adam, Attia Falak, Mokhotjwa Simon Dhlamini, Hanfu Wang, Lingxiang Jiang, Weiguo Chu   +8 more
wiley   +1 more source

What Do Large Language Models Know About Materials?

Advanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer, Thomas Wallmersperger, Gianaurelio Cuniberti   +2 more
wiley   +1 more source

A Hardware-Aware Efficient LLM for Multimedia Understanding via Dynamic Rank Adaptation and Structured Pruning

IEEE Access
Large Language Models (LLMs) have been applied in multiple fields due to their language understanding, multi-modal interaction, and logical reasoning capabilities.
Ruxing Yang, Luyao Liang
doaj   +1 more source