Zobrazeno 1 - 10
of 11 127
pro vyhledávání: '"Ray, C"'
Publikováno v:
Proceedings of the 2024 IEEE 35th International Conference on Application-Specific Systems, Architectures and Processors (ASAP), 24-26 July 2024, pp. 135-142
The dramatic surge in the utilisation of generative artificial intelligence (GenAI) underscores the need for a secure and efficient mechanism to responsibly manage, use and disseminate multi-dimensional data generated by artificial intelligence (AI).
Externí odkaz:
http://arxiv.org/abs/2406.11536
Publikováno v:
Endangered Species Research, Vol 43, Pp 121-131 (2020)
The impact of the intestinal and fecal microbiome on animal health has received considerable attention in recent years and has direct implications for the veterinary and wildlife rehabilitation fields. To examine the effects of rehabilitation on the
Externí odkaz:
https://doaj.org/article/4001392d3d1344ceb0b388dc5e297a4f
Autor:
Ray, C.
Publikováno v:
The Young Researcher, Vol 4, Iss 1, Pp 50-61 (2020)
The United Nations Environment Programme identifies plastic pollution as a major environmental issue (Blettler, Ulla, Rabuffetti, & Garello, 2017). Despite this, researchers note a distinct lack of research regarding plastic pollution in the world’
Externí odkaz:
https://doaj.org/article/a73019361c7845b7bee018384598c78a
Edge computing allows artificial intelligence and machine learning models to be deployed on edge devices, where they can learn from local data and collaborate to form a global model. Federated learning (FL) is a distributed machine learning technique
Externí odkaz:
http://arxiv.org/abs/2405.01189
Autor:
Kim, Jiho, Flanagan, Ray C., Haviland, Noelle E., Sun, ZeAi, Yakubu, Souad N., Maru, Edom A., Arnold, Kenneth C.
Large language models (LLMs) are shaping a new user interface (UI) paradigm in writing tools by enabling users to generate text through prompts. This paradigm shifts some creative control from the user to the system, thereby diminishing the user's au
Externí odkaz:
http://arxiv.org/abs/2403.01055
Autor:
Huang, Junhao, Zhao, Haosong, Zhang, Jipeng, Dai, Wangchen, Zhou, Lu, Cheung, Ray C. C., Koc, Cetin Kaya, Chen, Donglong
This paper presents another improved version of Plantard arithmetic that could speed up Kyber implementations on two low-end 32-bit IoT platforms (ARM Cortex-M3 and RISC-V) without SIMD extensions. Specifically, we further enlarge the input range of
Externí odkaz:
http://arxiv.org/abs/2309.00440