Results 111 to 120 of about 75,461 (296)

Hardware Aware Evolutionary Neural Architecture Search using Representation Similarity Metric [PDF]

peer reviewedHardware-aware Neural Architecture Search (HW-NAS) is a technique used to automatically design the architecture of a neural network for a specific task and target hardware.
SINHA, Nilotpal, SHABAYEK, Abd El Rahman, ROSTAMI ABENDANSARI, Peyman, AOUADA, Djamila, KACEM, Anis, SHNEIDER, Carl   +5 more
core   +1 more source

Online Neural Architecture Search (ONAS): Adapting neural network architecture search in a continuously evolving domain. [Proposal]

, 2021
Neural Architecture Search research has been limited to fixed datasets and as such does not provide the flexibility needed to deal with real-world, constantly evolving data.
Joeran Beel, Nathan Buskulic, Edward Bergman   +2 more
core   +1 more source

Neural Architecture Search Algorithms for Quantum Autoencoders

IEEE Transactions on Quantum Engineering
The design of quantum circuits is currently driven by the specific objectives of the quantum algorithm in question. This approach thus relies on a significant manual effort by the quantum algorithm designer to design an appropriate circuit for the task ...
Ankit Kulshrestha, Xiaoyuan Liu, Ushijima-Mwesigwa Hayato, Ilya Safro   +3 more
doaj   +1 more source

Neural Architecture Search [PDF]

, 2019
Deep Learning has enabled remarkable progress over the last years on a variety of tasks, such as image recognition, speech recognition, and machine translation. One crucial aspect for this progress are novel neural architectures. Currently employed architectures have mostly been developed manually by human experts, which is a time-consuming and error ...
Thomas Elsken, Jan Hendrik Metzen, Frank Hutter   +2 more
openaire   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Ecological Neural Architecture Search

CoRR
5 pages, 4 ...
Benjamin David Winter, William John Teahan   +1 more
openaire   +2 more sources

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, EarlyView.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Semi-Supervised Neural Architecture Search

CoRR, 2020
Neural architecture search (NAS) relies on a good controller to generate better architectures or predict the accuracy of given architectures. However, training the controller requires both abundant and high-quality pairs of architectures and their accuracy, while it is costly to evaluate an architecture and obtain its accuracy.
Renqian Luo, Xu Tan 0003, Rui Wang 0028, Tao Qin 0001, Enhong Chen, Tie-Yan Liu   +5 more
openaire   +3 more sources

Deep Learning Inverse Design of Phase‐Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication

Advanced Materials, EarlyView.
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong, Xieyu Chen, Aarthy Nagarajan, Yi Yang, Zhihao Wang, Rui Yu, Chuang Zheng, Chunmei Ouyang, Xueqian Zhang, Tun Cao, Ranjan Singh, Zhen Tian   +11 more
wiley   +1 more source

Cell Adhesion by Design: Engineering Tissue Culture Scaffolds With Adhesion Cues

Advanced Materials Interfaces, EarlyView.
ABSTRACT In scaffold‐based tissue engineering, the matrix should provide adequate adhesion cues for cell attachment, spreading, and function. Given the multitude of adhesion receptors and the diversity of scaffolds, there are many approaches to render scaffolds adhesive, even though they are not all equivalent.
Dalia Dranseike, Dhananjay V. Deshmukh, Mark W. Tibbitt, Céline Labouesse   +3 more
wiley   +1 more source