Zobrazeno 1 - 10
of 3 035
pro vyhledávání: '"Akinwande, A. A."'
Two-dimensional (2D) transition metal dichalcogenides (TMDs) have recently been shown to demonstrate non-volatile resistive switching (NVRS), offering significant advantages such as high-density integration and low energy consumption due to their ato
Externí odkaz:
http://arxiv.org/abs/2410.07469
Autor:
Kireev, Dmitry, Koripally, Nandu, Liu, Samuel, Fleming, Gabriella Coloyan, Varkey, Philip, Belle, Joseph, Mohan, Sivasakthya, Han, Sang Sub, Xu, Dong, Jung, Yeonwoong, Duan, Xiangfeng, Incorvia, Jean Anne C., Akinwande, Deji
Wearable human activity sensors developed in the past decade show a distinct trend of becoming thinner and more imperceptible while retaining their electrical qualities, with graphene e-tattoos, as the ultimate example. A persistent challenge in mode
Externí odkaz:
http://arxiv.org/abs/2410.05449
Publikováno v:
International Journal on Cybernetics & Informatics (IJCI) Vol.13, No.4, August 2024
This research explores the nuanced differences in texts produced by AI and those written by humans, aiming to elucidate how language is expressed differently by AI and humans. Through comprehensive statistical data analysis, the study investigates va
Externí odkaz:
http://arxiv.org/abs/2408.00769
Autor:
Akinwande, Mayowa, Lopez, Alexander, Yusuf, Tobi, Unuriode, Austine, Yusuf, Babatunde, Yussuph, Toyyibat, Okoro, Stanley
Publikováno v:
Computer Science & Information Technology (CS & IT), ISSN : 2231 - 5403, Volume 14, Number 04, February 2024
This paper provides a comprehensive examination of the evolution of credit cards in the United States, tracing their historical development, causes, consequences, and impact on both individuals and the economy. It delves into the transformation of cr
Externí odkaz:
http://arxiv.org/abs/2407.11146
Autor:
Vidgen, Bertie, Agrawal, Adarsh, Ahmed, Ahmed M., Akinwande, Victor, Al-Nuaimi, Namir, Alfaraj, Najla, Alhajjar, Elie, Aroyo, Lora, Bavalatti, Trupti, Bartolo, Max, Blili-Hamelin, Borhane, Bollacker, Kurt, Bomassani, Rishi, Boston, Marisa Ferrara, Campos, Siméon, Chakra, Kal, Chen, Canyu, Coleman, Cody, Coudert, Zacharie Delpierre, Derczynski, Leon, Dutta, Debojyoti, Eisenberg, Ian, Ezick, James, Frase, Heather, Fuller, Brian, Gandikota, Ram, Gangavarapu, Agasthya, Gangavarapu, Ananya, Gealy, James, Ghosh, Rajat, Goel, James, Gohar, Usman, Goswami, Sujata, Hale, Scott A., Hutiri, Wiebke, Imperial, Joseph Marvin, Jandial, Surgan, Judd, Nick, Juefei-Xu, Felix, Khomh, Foutse, Kailkhura, Bhavya, Kirk, Hannah Rose, Klyman, Kevin, Knotz, Chris, Kuchnik, Michael, Kumar, Shachi H., Kumar, Srijan, Lengerich, Chris, Li, Bo, Liao, Zeyi, Long, Eileen Peters, Lu, Victor, Luger, Sarah, Mai, Yifan, Mammen, Priyanka Mary, Manyeki, Kelvin, McGregor, Sean, Mehta, Virendra, Mohammed, Shafee, Moss, Emanuel, Nachman, Lama, Naganna, Dinesh Jinenhally, Nikanjam, Amin, Nushi, Besmira, Oala, Luis, Orr, Iftach, Parrish, Alicia, Patlak, Cigdem, Pietri, William, Poursabzi-Sangdeh, Forough, Presani, Eleonora, Puletti, Fabrizio, Röttger, Paul, Sahay, Saurav, Santos, Tim, Scherrer, Nino, Sebag, Alice Schoenauer, Schramowski, Patrick, Shahbazi, Abolfazl, Sharma, Vin, Shen, Xudong, Sistla, Vamsi, Tang, Leonard, Testuggine, Davide, Thangarasa, Vithursan, Watkins, Elizabeth Anne, Weiss, Rebecca, Welty, Chris, Wilbers, Tyler, Williams, Adina, Wu, Carole-Jean, Yadav, Poonam, Yang, Xianjun, Zeng, Yi, Zhang, Wenhui, Zhdanov, Fedor, Zhu, Jiacheng, Liang, Percy, Mattson, Peter, Vanschoren, Joaquin
This paper introduces v0.5 of the AI Safety Benchmark, which has been created by the MLCommons AI Safety Working Group. The AI Safety Benchmark has been designed to assess the safety risks of AI systems that use chat-tuned language models. We introdu
Externí odkaz:
http://arxiv.org/abs/2404.12241
Autor:
Akinwande, Victor, Kolter, J. Zico
Existing causal discovery methods based on combinatorial optimization or search are slow, prohibiting their application on large-scale datasets. In response, more recent methods attempt to address this limitation by formulating causal discovery as st
Externí odkaz:
http://arxiv.org/abs/2403.03772
Publikováno v:
Volume 12, Number 6 - International Conference on Computer Science and Information Technology Advances (CCSITA 2023)
This study is focused on the ethics of Artificial Intelligence and its application in the United States, the paper highlights the impact AI has in every sector of the US economy and multiple facets of the technological space and the resultant effect
Externí odkaz:
http://arxiv.org/abs/2310.05751
Zero-shot learning in prompted vision-language models, the practice of crafting prompts to build classifiers without an explicit training process, has achieved impressive performance in many settings. This success presents a seemingly surprising obse
Externí odkaz:
http://arxiv.org/abs/2310.03957
Analog neuromorphic computing systems emulate the parallelism and connectivity of the human brain, promising greater expressivity and energy efficiency compared to digital systems. Though many devices have emerged as candidates for artificial neurons
Externí odkaz:
http://arxiv.org/abs/2310.02364
Autor:
Junzhu Li, Abdus Samad, Yue Yuan, Qingxiao Wang, Mohamed Nejib Hedhili, Mario Lanza, Udo Schwingenschlögl, Iwnetim Abate, Deji Akinwande, Zheng Liu, Bo Tian, Xixiang Zhang
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-8 (2024)
Abstract Hexagonal boron nitride (hBN), as one of the few two-dimensional insulators, holds strategic importance for advancing post-silicon electronic devices and circuits. Achieving wafer-scale, high-quality monolayer hBN is essential for its integr
Externí odkaz:
https://doaj.org/article/d35e4aa258b944bbb24591e492330775