Results 171 to 180 of about 1,116,097 (338)

Difficulty aware programming knowledge tracing via large language models. [PDF]

Sci Rep
Yang L, Sun X, Li H, Xu R, Wei X.
europepmc   +1 more source

Additive Manufacturing of Neuromorphic Systems

Advanced Materials, EarlyView.
The crossover of additive Manufacturing (AM) and neuromorphic engineering promises a new paradigm in the fabrication of intelligent hardware—one that is sustainable, scalable, cost‐efficient, and customizable. The AM‐printed neuromorphic hardware (electronics and mechanical systems) is examined, and we discussed the technological integration.
Jiongyi Yan, Yutai Su, James P. K. Armstrong, Andrew Gleadall   +3 more
wiley   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Acute: High-level programming language design for distributed computation [PDF]

, 2007
Peter Sewell, James J. Leifer, Keith Wansbrough, Francesco Zappa Nardelli, Mair Allen-Williams, Pierre Habouzit, Viktor Vafeiadis   +6 more
openalex   +1 more source

From Proprietary to High-Level Trigger-Action Programming Rules: A Natural Language Processing Approach

, 2023
Ekene Attoh, Beat Signer
openalex   +2 more sources

LocSys: A Low-Code Paradigm for the Development of Cyber-Physical Applications. [PDF]

Sensors (Basel)
Panayiotou K, Tsardoulias E, Symeonidis AL.   +2 more
europepmc   +1 more source

High-Level Portable Programming Language for Optimized Memory Use of Network Processors

, 2015
Yasusi Kanada
openalex   +2 more sources

AI‐Driven Defect Engineering for Advanced Thermoelectric Materials

Advanced Materials, EarlyView.
This review presents how AI accelerates the design of defect‐tuned thermoelectric materials. By integrating machine learning with high‐throughput data and physics‐informed representations, it enables efficient prediction of thermoelectric performance from complex defect landscapes.
Chu‐Liang Fu, Mouyang Cheng, Nguyen Tuan Hung, Eunbi Rha, Zhantao Chen, Ryotaro Okabe, Denisse Córdova Carrizales, Manasi Mandal, Yongqiang Cheng, Mingda Li   +9 more
wiley   +1 more source

Vibe coding: a new paradigm for biomedical software development. [PDF]

BioData Min
Moore JH, Tatonetti N.
europepmc   +1 more source