Zobrazeno 1 - 10
of 58 160
pro vyhledávání: '"Basil AN"'
Publikováno v:
Artificial Intelligence in Agriculture, Vol 10, Iss , Pp 13-25 (2023)
Agriculture 5.0 is an emerging concept where sensors, big data, Internet-of-Things (IoT), robots, and Artificial Intelligence (AI) are used for agricultural purposes. Different from Agriculture 4.0, robots and AI become the focus of the implementatio
Externí odkaz:
https://doaj.org/article/d22425c5d46b49c593cec049c70de287
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 5, Iss , Pp 100209- (2023)
Sensors are crucial in detecting equipment problems in various plant systems. In particular, detecting sensor abnormality is challenging in the case of utilizing the data which are acquired and stored offline (data logs). These data are normally acqu
Externí odkaz:
https://doaj.org/article/965fbb0fd845439aa382e2ce8ec62b08
Autor:
Smitham, Basil M., Houck, Andrew A.
In this work, we introduce new methods for the quantization, decomposition, and extraction (from electromagnetic simulations) of lumped-element circuit models for superconducting quantum devices. Our flux-charge symmetric procedures center on the net
Externí odkaz:
http://arxiv.org/abs/2412.06880
This paper presents a novel multistage fine-tuning strategy designed to enhance automatic speech recognition (ASR) performance in low-resource languages using OpenAI's Whisper model. In this approach we aim to build ASR model for languages with limit
Externí odkaz:
http://arxiv.org/abs/2411.04573
Autor:
Lee, Yejin, Sun, Anna, Hosmer, Basil, Acun, Bilge, Balioglu, Can, Wang, Changhan, Hernandez, Charles David, Puhrsch, Christian, Haziza, Daniel, Guessous, Driss, Massa, Francisco, Kahn, Jacob, Wan, Jeffrey, Reizenstein, Jeremy, Zhai, Jiaqi, Isaacson, Joe, Schlosser, Joel, Pino, Juan, Sadagopan, Kaushik Ram, Shamis, Leonid, Ma, Linjian, Hwang, Min-Jae, Chen, Mingda, Elhoushi, Mostafa, Rodriguez, Pedro, Pasunuru, Ram, Yih, Scott, Popuri, Sravya, Liu, Xing, Wu, Carole-Jean
Generative artificial intelligence (AI) technology is revolutionizing the computing industry. Not only its applications have broadened to various sectors but also poses new system design and optimization opportunities. The technology is capable of un
Externí odkaz:
http://arxiv.org/abs/2410.00215
Link Prediction(LP) is an essential task over Knowledge Graphs(KGs), traditionally focussed on using and predicting the relations between entities. Textual entity descriptions have already been shown to be valuable, but models that incorporate numeri
Externí odkaz:
http://arxiv.org/abs/2407.18241
Deep learning algorithms have been shown to be powerful in many communication network design problems, including that in automatic modulation classification. However, they are vulnerable to carefully crafted attacks called adversarial examples. Hence
Externí odkaz:
http://arxiv.org/abs/2407.06796
This work considers the decentralized successive convex approximation (SCA) method for minimizing stochastic non-convex objectives subject to convex constraints, along with possibly non-smooth convex regularizers. Although SCA has been widely applied
Externí odkaz:
http://arxiv.org/abs/2405.07100
Autor:
Golden, Alicia, Hsia, Samuel, Sun, Fei, Acun, Bilge, Hosmer, Basil, Lee, Yejin, DeVito, Zachary, Johnson, Jeff, Wei, Gu-Yeon, Brooks, David, Wu, Carole-Jean
Training large-scale machine learning models poses distinct system challenges, given both the size and complexity of today's workloads. Recently, many organizations training state-of-the-art Generative AI models have reported cases of instability dur
Externí odkaz:
http://arxiv.org/abs/2405.02803
Autor:
Saab, Khaled, Tu, Tao, Weng, Wei-Hung, Tanno, Ryutaro, Stutz, David, Wulczyn, Ellery, Zhang, Fan, Strother, Tim, Park, Chunjong, Vedadi, Elahe, Chaves, Juanma Zambrano, Hu, Szu-Yeu, Schaekermann, Mike, Kamath, Aishwarya, Cheng, Yong, Barrett, David G. T., Cheung, Cathy, Mustafa, Basil, Palepu, Anil, McDuff, Daniel, Hou, Le, Golany, Tomer, Liu, Luyang, Alayrac, Jean-baptiste, Houlsby, Neil, Tomasev, Nenad, Freyberg, Jan, Lau, Charles, Kemp, Jonas, Lai, Jeremy, Azizi, Shekoofeh, Kanada, Kimberly, Man, SiWai, Kulkarni, Kavita, Sun, Ruoxi, Shakeri, Siamak, He, Luheng, Caine, Ben, Webson, Albert, Latysheva, Natasha, Johnson, Melvin, Mansfield, Philip, Lu, Jian, Rivlin, Ehud, Anderson, Jesper, Green, Bradley, Wong, Renee, Krause, Jonathan, Shlens, Jonathon, Dominowska, Ewa, Eslami, S. M. Ali, Chou, Katherine, Cui, Claire, Vinyals, Oriol, Kavukcuoglu, Koray, Manyika, James, Dean, Jeff, Hassabis, Demis, Matias, Yossi, Webster, Dale, Barral, Joelle, Corrado, Greg, Semturs, Christopher, Mahdavi, S. Sara, Gottweis, Juraj, Karthikesalingam, Alan, Natarajan, Vivek
Excellence in a wide variety of medical applications poses considerable challenges for AI, requiring advanced reasoning, access to up-to-date medical knowledge and understanding of complex multimodal data. Gemini models, with strong general capabilit
Externí odkaz:
http://arxiv.org/abs/2404.18416