Zobrazeno 1 - 10
of 2 122
pro vyhledávání: '"A. Canaan"'
Autor:
Law, Ka Nam Canaan, Yu, Mingshuo, Zhang, Lianglei, Zhang, Yiyi, Xu, Peng, Gao, Jerry, Liu, Jun
The quality control of printed circuit boards (PCBs) is paramount in advancing electronic device technology. While numerous machine learning methodologies have been utilized to augment defect detection efficiency and accuracy, previous studies have p
Externí odkaz:
http://arxiv.org/abs/2409.09555
Autor:
Barbieux, Aidan, Canaan, Rodrigo
This paper presents Coralai, a framework for exploring diverse ecosystems of Neural Cellular Automata (NCA). Organisms in Coralai utilize modular, GPU-accelerated Taichi kernels to interact, enact environmental changes, and evolve through local survi
Externí odkaz:
http://arxiv.org/abs/2406.09654
We propose an interactive approach to language learning that utilizes linguistic acceptability judgments from an informant (a competent language user) to learn a grammar. Given a grammar formalism and a framework for synthesizing data, our model iter
Externí odkaz:
http://arxiv.org/abs/2405.04726
Large language models (LLMs) are susceptible to social-engineered attacks that are human-interpretable but require a high level of comprehension for LLMs to counteract. Existing defensive measures can only mitigate less than half of these attacks at
Externí odkaz:
http://arxiv.org/abs/2402.13517
Autor:
Yung, Canaan, Usman, Muhammad
Publikováno v:
Advanced Quantum Technologies (2024)
Recent work has proposed solving the k-means clustering problem on quantum computers via the Quantum Approximate Optimization Algorithm (QAOA) and coreset techniques. Although the current method demonstrates the possibility of quantum k-means cluster
Externí odkaz:
http://arxiv.org/abs/2312.03516
Textless self-supervised speech models have grown in capabilities in recent years, but the nature of the linguistic information they encode has not yet been thoroughly examined. We evaluate the extent to which these models' learned representations al
Externí odkaz:
http://arxiv.org/abs/2306.06232
Autor:
Barbieux, Aidan, Canaan, Rodrigo
This paper presents EINCASM, a prototype system employing a novel framework for studying emergent intelligence in organisms resembling slime molds. EINCASM evolves neural cellular automata with NEAT to maximize cell growth constrained by nutrient and
Externí odkaz:
http://arxiv.org/abs/2305.13425
Autor:
Dilara Kersebaum, Manon Sendel, Josephine Lassen, Sophie-Charlotte Fabig, Julia Forstenpointner, Maren Reimer, Sima Canaan-Kühl, Jens Gaedeke, Stefanie Rehm, Janne Gierthmühlen, Ralf Baron, Philipp Hüllemann
Publikováno v:
Frontiers in Pain Research, Vol 5 (2024)
BackgroundFabry disease (FD) causes cold-evoked pain and impaired cold perception through small fiber damage, which also occurs in polyneuropathies (PNP) of other origins. The integrity of thinly myelinated fibers and the spinothalamic tract is asses
Externí odkaz:
https://doaj.org/article/1a43342f2de14e36941f85032a5667f2
Publikováno v:
Personnel Review, 2022, Vol. 52, Issue 9, pp. 2284-2303.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/PR-12-2021-0862
Publikováno v:
Journal of Asia Business Studies, 2023, Vol. 17, Issue 6, pp. 1069-1087.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JABS-05-2022-0176