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Artykuły w czasopismach na temat "Hardware for Artificial Intelligence"
Burkert, Andreas. "Hardware for Artificial Intelligence". ATZ worldwide 121, nr 5 (26.04.2019): 8–13. http://dx.doi.org/10.1007/s38311-019-0060-0.
Pełny tekst źródłaBurkert, Andreas. "Hardware for Artificial Intelligence". ATZelectronics worldwide 14, nr 3 (marzec 2019): 8–13. http://dx.doi.org/10.1007/s38314-019-0026-4.
Pełny tekst źródłaPopov, I. "SoC hardware supporting artificial intelligence". ELECTRONICS: Science, Technology, Business, nr 7 (2018): 116–23. http://dx.doi.org/10.22184/1992-4178.2018.178.7.116.123.
Pełny tekst źródłaVerWey, John. "The Other Artificial Intelligence Hardware Problem". Computer 55, nr 1 (styczeń 2022): 34–42. http://dx.doi.org/10.1109/mc.2021.3113271.
Pełny tekst źródłaPrati, Enrico. "Quantum neuromorphic hardware for quantum artificial intelligence". Journal of Physics: Conference Series 880 (sierpień 2017): 012018. http://dx.doi.org/10.1088/1742-6596/880/1/012018.
Pełny tekst źródłaYoon, Young Hyun, Dong Hyun Hwang, Jun Hyeok Yang i Seung Eun Lee. "Intellino: Processor for Embedded Artificial Intelligence". Electronics 9, nr 7 (18.07.2020): 1169. http://dx.doi.org/10.3390/electronics9071169.
Pełny tekst źródłaWang, Xiaoyin. "Artificial intelligence enhanced environmental detection system". Applied and Computational Engineering 66, nr 1 (29.05.2024): 156–59. http://dx.doi.org/10.54254/2755-2721/66/20240938.
Pełny tekst źródłaHNATCHUK, YELYZAVETA, YEVHENIY SIERHIEIEV i ALINA HNATCHUK. "USING ARTIFICIAL INTELLIGENCE ACCELERATORS TO TRAIN COMPUTER GAME CHARACTERS". Computer systems and information technologies, nr 1 (21.08.2021): 63–70. http://dx.doi.org/10.31891/csit-2021-3-9.
Pełny tekst źródłaSmith, Adam Leon. "Artificial Intelligence". ITNOW 64, nr 3 (19.08.2022): 47. http://dx.doi.org/10.1093/combul/bwac093.
Pełny tekst źródłaSmith, Adam Leon. "Artificial Intelligence". ITNOW 64, nr 2 (12.05.2022): 65. http://dx.doi.org/10.1093/itnow/bwac065.
Pełny tekst źródłaRozprawy doktorskie na temat "Hardware for Artificial Intelligence"
Orozco, Gabriel Mario. "Artificial intelligence opportunities and an end-do-end data-driven solution for predicting hardware failures". Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/104304.
Pełny tekst źródłaThesis: S.M. in Engineering Systems, Massachusetts Institute of Technology, Department of Mechanical Engineering, 2016. In conjunction with the Leaders for Global Operations Program at MIT.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 93-96).
Dell's target to provide quality products based on reliability, security, and manageability, has driven Dell Inc. to become one of the largest PC suppliers. The recent developments in Artificial Intelligence (AI) combined with a competitive market situation have encouraged Dell to research new opportunities. Al research and breakthroughs have risen in the last years, bringing along revolutionary technologies and companies that are disrupting all businesses. Over 30 potential concepts for Al integration at Dell Inc. were identified and evaluated to select the ones with the highest potential. The top-most concept consisted of preventing in real time the failure of hardware. This concept was investigated using a data science process. Currently, there exist a number of machine learning tools that automate the last stages of the proposed data science process to create predictive models. The utilized tools vary in functionality and evaluation standards, but also provide other services such as data and model storage and visualization options. The proposed solution utilizes the deep feature synthesis algorithm that automatically generates features from problem-specific data. These engineered features boosted predictive model accuracy by an average of 10% for the AUC and up to 250% in recall for test (out of sample) data. The proposed solution estimates an impact exceeding $407M in the first five years for Dell Inc. and all of the involved suppliers. Conservatively, the direct impact on Dell Inc. is particular to batteries under warranty and is expected to surpass $2.7M during the first five years. The conclusions show a high potential for implementation.
by Mario Orozco Gabriel.
M.B.A.
S.M. in Engineering Systems
Cheng, Chih Kang. "Hardware implementation of the complex Hopfield neural network". CSUSB ScholarWorks, 1995. https://scholarworks.lib.csusb.edu/etd-project/1016.
Pełny tekst źródłaGRIMALDI, MATTEO. "Hardware-Aware Compression Techniques for Embedded Deep Neural Networks". Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2933756.
Pełny tekst źródłaBedi, Abhishek. "A generic platform for the evolution of hardware". Click here to access this resource online, 2009. http://hdl.handle.net/10292/651.
Pełny tekst źródłaMARRONE, FRANCESCO. "Memristor-based hardware accelerators: from device modeling to AI applications". Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2972305.
Pełny tekst źródłaAl, Rawashdeh Khaled. "Toward a Hardware-assisted Online Intrusion Detection System Based on Deep Learning Algorithms for Resource-Limited Embedded Systems". University of Cincinnati / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1535464571843315.
Pełny tekst źródłaKumar, Sharad Kumar. "Analysis of Machine Learning Modeling Attacks on Ring Oscillator based Hardware Security". University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1541759752027838.
Pełny tekst źródłaCONTI, DANIELE. "Neuromorphic systems based on memristive devices - From the material science perspective to bio-inspired learning hardware". Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2711511.
Pełny tekst źródłaImbulgoda, Liyangahawatte Gihan Janith Mendis. "Hardware Implementation and Applications of Deep Belief Networks". University of Akron / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=akron1476707730643462.
Pełny tekst źródłaBrink, Stephen Isaac. "Learning in silicon: a floating-gate based, biophysically inspired, neuromorphic hardware system with synaptic plasticity". Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/50143.
Pełny tekst źródłaKsiążki na temat "Hardware for Artificial Intelligence"
Mishra, Ashutosh, Jaekwang Cha, Hyunbin Park i Shiho Kim, red. Artificial Intelligence and Hardware Accelerators. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22170-5.
Pełny tekst źródłaAdamatzky, Andrew. Artificial life models in hardware. Dordrecht: Springer, 2009.
Znajdź pełny tekst źródłaKropf, Thomas. Introduction to Formal Hardware Verification. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999.
Znajdź pełny tekst źródłaBaofu, Peter. The future of post-human computing: A preface to a new theory of hardware, software and the mind. Great Abington, Cambridge, UK: Cambridge International Science Publishing, 2011.
Znajdź pełny tekst źródłaJovanović, Aleksandar S. Expert Systems in Structural Safety Assessment: Proceedings of an International Course October 2-4, 1989, Stuttgart, FRG. Berlin, Heidelberg: Springer Berlin Heidelberg, 1989.
Znajdź pełny tekst źródłaLee, Bang W. Hardware annealing in analog VLSI neurocomputing. Boston: Kluwer Academic Publishers, 1991.
Znajdź pełny tekst źródłaEder, Kerstin. Hardware and Software: Verification and Testing: 7th International Haifa Verification Conference, HVC 2011, Haifa, Israel, December 6-8, 2011, Revised Selected Papers. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012.
Znajdź pełny tekst źródłaStrous, Leon. Internet of Things. Information Processing in an Increasingly Connected World: First IFIP International Cross-Domain Conference, IFIPIoT 2018, Held at the 24th IFIP World Computer Congress, WCC 2018, Poznan, Poland, September 18-19, 2018, Revised Selected Papers. Cham: Springer Nature, 2019.
Znajdź pełny tekst źródłaSood, A. K. Active Perception and Robot Vision. Berlin, Heidelberg: Springer Berlin Heidelberg, 1992.
Znajdź pełny tekst źródłaOman) ICC (Conference : Oman) (1st 2014 Muscat. Intelligent cloud computing: First International Conference, ICC 2014, Muscat, Oman, February 24-26, 2014, Revised selected papers. Cham: Springer, 2015.
Znajdź pełny tekst źródłaCzęści książek na temat "Hardware for Artificial Intelligence"
Mishra, Ashutosh, Pamul Yadav i Shiho Kim. "Artificial Intelligence Accelerators". W Artificial Intelligence and Hardware Accelerators, 1–52. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22170-5_1.
Pełny tekst źródłaYadav, Pamul, Ashutosh Mishra i Shiho Kim. "Neuromorphic Hardware Accelerators". W Artificial Intelligence and Hardware Accelerators, 225–68. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22170-5_8.
Pełny tekst źródłaLippmann, Bernhard, Matthias Ludwig i Horst Gieser. "Generating Trust in Hardware through Physical Inspection". W Embedded Artificial Intelligence, 45–59. New York: River Publishers, 2023. http://dx.doi.org/10.1201/9781003394440-5.
Pełny tekst źródłaLiu, Yanli, Bochen Guan, Weiyi Li, Qinwen Xu i Shuxue Quan. "SMOF: Squeezing More Out of Filters Yields Hardware-Friendly CNN Pruning". W Artificial Intelligence, 242–54. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-20497-5_20.
Pełny tekst źródłaBurns, Jeff. "The New Era of AI Hardware". W From Artificial Intelligence to Brain Intelligence, 55–65. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003338215-4.
Pełny tekst źródłaJhung, Junekyo, Ho Suk, Hyungbin Park i Shiho Kim. "Hardware Accelerators for Autonomous Vehicles". W Artificial Intelligence and Hardware Accelerators, 269–317. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22170-5_9.
Pełny tekst źródłaKim, Jinhyuk, i Shiho Kim. "Hardware Accelerators in Embedded Systems". W Artificial Intelligence and Hardware Accelerators, 167–81. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-22170-5_6.
Pełny tekst źródłaNedjah, Nadia, i Luiza de Macedo Mourelle. "Hardware Architecture for Genetic Algorithms". W Innovations in Applied Artificial Intelligence, 554–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11504894_76.
Pełny tekst źródłaDimopoulos, Alexandros, Christos Pavlatos, Ioannis Panagopoulos i George Papakonstantinou. "An Efficient Hardware Implementation for AI Applications". W Advances in Artificial Intelligence, 35–45. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11752912_6.
Pełny tekst źródłaAbidi, Taha Yassine, Iyad Dayoub, Elhadj Doguech i Ihsen Alouani. "Federated Learning: Privacy, Security and Hardware Perspectives". W Advancing Edge Artificial Intelligence, 65–86. New York: River Publishers, 2024. http://dx.doi.org/10.1201/9781003478713-3.
Pełny tekst źródłaStreszczenia konferencji na temat "Hardware for Artificial Intelligence"
Dally, William J., C. Thomas Gray, John Poulton, Brucek Khailany, John Wilson i Larry Dennison. "Hardware-Enabled Artificial Intelligence". W 2018 IEEE Symposium on VLSI Circuits. IEEE, 2018. http://dx.doi.org/10.1109/vlsic.2018.8502368.
Pełny tekst źródła"Hardware for AI". W Emerging Topics in Artificial Intelligence (ETAI) 2021, redaktorzy Giovanni Volpe, Joana B. Pereira, Daniel Brunner i Aydogan Ozcan. SPIE, 2021. http://dx.doi.org/10.1117/12.2606000.
Pełny tekst źródłaDinu, A., i P. L. Ogrutan. "Opportunities of using artificial intelligence in hardware verification". W 2019 IEEE 25th International Symposium for Design and Technology in Electronic Packaging (SIITME). IEEE, 2019. http://dx.doi.org/10.1109/siitme47687.2019.8990751.
Pełny tekst źródłaFojtik, Rostislav. "USING HARDWARE TO SUPPORT ARTIFICIAL INTELLIGENCE IN EDUCATION". W 18th International Technology, Education and Development Conference. IATED, 2024. http://dx.doi.org/10.21125/inted.2024.1170.
Pełny tekst źródłaLim, Kah Yee, Joan Hau i Yiqi Tew. "Computer Performance Evaluation for Virtual Classroom with Artificial Intelligence Features". W International Conference on Digital Transformation and Applications (ICDXA 2021). Tunku Abdul Rahman University College, 2021. http://dx.doi.org/10.56453/icdxa.2021.1008.
Pełny tekst źródłaAdamov, Andrey Anatolievich, i Leonid Konstantinovich Eisymont. "Variants of hardware architectural solutions for artificial intelligence systems". W 3rd International Conference “Futurity designing. Digital reality problems”. Keldysh Institute of Applied Mathematics, 2020. http://dx.doi.org/10.20948/future-2020-10.
Pełny tekst źródłaRomero, A., C. Heras, M. Vega, J. Naranjo, C. Vázquez i A. Preciado. "Intelligent Open-Hardware ECG Platform for the Heart Patients Control and Diagnosis". W Artificial Intelligence and Applications. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.674-144.
Pełny tekst źródłaAttri, Anant, Sandhya Verma, Shweta Pandey, Yerrolla Chanti, Mansi Sahu i Rajat Balyan. "Exhilarating Growth in Education Through Artificial Intelligence". W 2023 International Conference on Quantum Technologies, Communications, Computing, Hardware and Embedded Systems Security (iQ-CCHESS). IEEE, 2023. http://dx.doi.org/10.1109/iq-cchess56596.2023.10391474.
Pełny tekst źródłaSingh, Vinayak, Abhiranjan Dixit, Shweta Pandey, Bura Vijay Kumar, Vikrant Pachouri i Mansi Sahu. "Role of Artificial Intelligence in Criminal Investigation". W 2023 International Conference on Quantum Technologies, Communications, Computing, Hardware and Embedded Systems Security (iQ-CCHESS). IEEE, 2023. http://dx.doi.org/10.1109/iq-cchess56596.2023.10391288.
Pełny tekst źródłaBurguete-Lopez, Arturo, Maksim Makarenko, Qizhou Wang, Fedor Getman i Andrea Fratalocchi. "Artificial-Intelligence Empowered Universal Metrology Optical Camera". W CLEO: Applications and Technology. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_at.2023.jtu2a.25.
Pełny tekst źródłaRaporty organizacyjne na temat "Hardware for Artificial Intelligence"
Lohn, Andrew, i Micah Musser. AI and Compute: How Much Longer Can Computing Power Drive Artificial Intelligence Progress? Center for Security and Emerging Technology, styczeń 2022. http://dx.doi.org/10.51593/2021ca009.
Pełny tekst źródłaMusser, Micah, Rebecca Gelles, Catherine Aiken i Andrew Lohn. “The Main Resource is the Human”. Center for Security and Emerging Technology, kwiecień 2023. http://dx.doi.org/10.51593/20210071.
Pełny tekst źródłaRuvinsky, Alicia, Timothy Garton, Daniel Chausse, Rajeev Agrawal, Harland Yu i Ernest Miller. Accelerating the tactical decision process with High-Performance Computing (HPC) on the edge : motivation, framework, and use cases. Engineer Research and Development Center (U.S.), wrzesień 2021. http://dx.doi.org/10.21079/11681/42169.
Pełny tekst źródłaanis, sehab. Artificial Intelligence. ResearchHub Technologies, Inc., sierpień 2023. http://dx.doi.org/10.55277/researchhub.agwfnyrw.
Pełny tekst źródłaRoberts, Kamie. Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile. Gaithersburg, MD: National Institute of Standards and Technology, 2024. http://dx.doi.org/10.6028/nist.ai.600-1.
Pełny tekst źródłaNovak, Jr, Simmons Gordon S., Porter Robert F., Kumar Bruce W., Causey Vipin i Robert L. Artificial Intelligence Project. Fort Belvoir, VA: Defense Technical Information Center, styczeń 1990. http://dx.doi.org/10.21236/ada230793.
Pełny tekst źródłaGuerreiro, Joao, Sergio Rebelo i Pedro Teles. Regulating Artificial Intelligence. Cambridge, MA: National Bureau of Economic Research, listopad 2023. http://dx.doi.org/10.3386/w31921.
Pełny tekst źródłaCwik, Cynthia, Paul Grimm, Maura Grossman i Toby Walsh. Artificial Intelligence and the Courts: Artificial Intelligence Trustworthiness, and Litigation. American Association for the Advancement of Science, wrzesień 2022. http://dx.doi.org/10.1126/aaas.adf0786.
Pełny tekst źródłaKaranicolas, Michael, i Mallory Knodel. Artificial Intelligence and the Courts: Artificial Intelligence and Bias - An Evaluation. American Association for the Advancement of Science, wrzesień 2022. http://dx.doi.org/10.1126/aaas.adf0788.
Pełny tekst źródłaFirth-Butterfield, Kay, i Karen Silverman. Artificial Intelligence and the Courts: Artificial Intelligence - Foundational Issues and Glossary. American Association for the Advancement of Science, wrzesień 2022. http://dx.doi.org/10.1126/aaas.adf0782.
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