Zobrazeno 1 - 10
of 15 595
pro vyhledávání: '"YAYA, A."'
Current LLM structured pruning methods involve two steps: (1) compressing with calibration data and (2) continued pretraining on billions of tokens to recover the lost performance. This costly second step is needed as the first step significantly imp
Externí odkaz:
http://arxiv.org/abs/2412.16719
Autor:
Etiabi, Yaya, Eldeeb, Eslam, Shehab, Mohammad, Njima, Wafa, Alves, Hirley, Alouini, Mohamed-Slim, Amhoud, El Mehdi
Accurate indoor localization remains challenging due to variations in wireless signal environments and limited data availability. This paper introduces MetaGraphLoc, a novel system leveraging sensor fusion, graph neural networks (GNNs), and meta-lear
Externí odkaz:
http://arxiv.org/abs/2411.17781
In this paper, we study cost-effective home robot solutions which are designed for home health monitoring. The recent advancements in Artificial Intelligence (AI) have significantly advanced the capabilities of the robots, enabling them to better and
Externí odkaz:
http://arxiv.org/abs/2409.16802
The dynamics of a single-mode semiconductor laser induced by the optical injection of a frequency comb are analyzed through the lens of complexity. In particular, the focus is dynamics outside the injection-locking region. Permutation entropy (P.E.)
Externí odkaz:
http://arxiv.org/abs/2408.06861
The Keyword Spotting (KWS) task involves continuous audio stream monitoring to detect predefined words, requiring low energy devices for continuous processing. Neuromorphic devices effectively address this energy challenge. However, the general neuro
Externí odkaz:
http://arxiv.org/abs/2408.05156
Autor:
Liu, Haowei, Zhang, Xi, Xu, Haiyang, Shi, Yaya, Jiang, Chaoya, Yan, Ming, Zhang, Ji, Huang, Fei, Yuan, Chunfeng, Li, Bing, Hu, Weiming
Built on the power of LLMs, numerous multimodal large language models (MLLMs) have recently achieved remarkable performance on various vision-language tasks. However, most existing MLLMs and benchmarks primarily focus on single-image input scenarios,
Externí odkaz:
http://arxiv.org/abs/2407.15272
The rapid growth of the Internet of Things fosters collaboration among connected devices for tasks like indoor localization. However, existing indoor localization solutions struggle with dynamic and harsh conditions, requiring extensive data collecti
Externí odkaz:
http://arxiv.org/abs/2405.11079
Internet of Things (IoT) is an ever-evolving technological paradigm that is reshaping industries and societies globally. Real-time data collection, analysis, and decision-making facilitated by localization solutions form the foundation for location-b
Externí odkaz:
http://arxiv.org/abs/2405.09960
Lateralization is a fundamental feature of the human brain, where sex differences have been observed. Conventional studies in neuroscience on sex-specific lateralization are typically conducted on univariate statistical comparisons between male and f
Externí odkaz:
http://arxiv.org/abs/2404.05781
Publikováno v:
Vol. 49, Issue 10, pp. 2613-2616 (2024)
We experimentally study the synchronization of chaos generated by semiconductor lasers in a cascade injection configuration, i.e., a tunable master laser is used to generate chaos by optical injection in a transmitter laser that injects light into a
Externí odkaz:
http://arxiv.org/abs/2403.07474