Zobrazeno 1 - 10
of 394
pro vyhledávání: '"TAHOORI, MEHDI B."'
Autor:
Chaudhuri, Jayeeta, Nassar, Hassan, Gnad, Dennis R. E., Henkel, Jorg, Tahoori, Mehdi B., Chakrabarty, Krishnendu
FPGAs are now ubiquitous in cloud computing infrastructures and reconfigurable system-on-chip, particularly for AI acceleration. Major cloud service providers such as Amazon and Microsoft are increasingly incorporating FPGAs for specialized compute-i
Externí odkaz:
http://arxiv.org/abs/2410.16497
Flexible Electronics (FE) offer distinct advantages, including mechanical flexibility and low process temperatures, enabling extremely low-cost production. To address the demands of applications such as smart sensors and wearables, flexible devices m
Externí odkaz:
http://arxiv.org/abs/2410.00737
The applications of artificial intelligence (AI) are rapidly evolving, and they are also commonly used in safety-critical domains, such as autonomous driving and medical diagnosis, where functional safety is paramount. In AI-driven systems, uncertain
Externí odkaz:
http://arxiv.org/abs/2405.05286
Printed Electronics (PE) stands out as a promisingtechnology for widespread computing due to its distinct attributes, such as low costs and flexible manufacturing. Unlike traditional silicon-based technologies, PE enables stretchable, conformal,and n
Externí odkaz:
http://arxiv.org/abs/2402.02930
Bayesian Neural Networks (BayNNs) naturally provide uncertainty in their predictions, making them a suitable choice in safety-critical applications. Additionally, their realization using memristor-based in-memory computing (IMC) architectures enables
Externí odkaz:
http://arxiv.org/abs/2401.12416
Internet of Things (IoT) and smart wearable devices for personalized healthcare will require storing and computing ever-increasing amounts of data. The key requirements for these devices are ultra-low-power, high-processing capabilities, autonomy at
Externí odkaz:
http://arxiv.org/abs/2401.06195
Autor:
Ahmed, Soyed Tuhin, Hefenbrock, Michael, Prenat, Guillaume, Anghel, Lorena, Tahoori, Mehdi B.
Bayesian Neural Networks (BayNNs) can inherently estimate predictive uncertainty, facilitating informed decision-making. Dropout-based BayNNs are increasingly implemented in spintronics-based computation-in-memory architectures for resource-constrain
Externí odkaz:
http://arxiv.org/abs/2401.04744
Autor:
Ahmed, Soyed Tuhin, tahoori, Mehdi B.
Neural networks (NNs) are increasingly used in always-on safety-critical applications deployed on hardware accelerators (NN-HAs) employing various memory technologies. Reliable continuous operation of NN is essential for safety-critical applications.
Externí odkaz:
http://arxiv.org/abs/2401.01458
Autor:
Afentaki, Florentia, Saglam, Gurol, Kokkinis, Argyris, Siozios, Kostas, Zervakis, Georgios, Tahoori, Mehdi B
Printed Electronics (PE) feature distinct and remarkable characteristics that make them a prominent technology for achieving true ubiquitous computing. This is particularly relevant in application domains that require conformal and ultra-low cost sol
Externí odkaz:
http://arxiv.org/abs/2312.17612
Autor:
Armeniakos, Giorgos, Duarte, Paula L., Pal, Priyanjana, Zervakis, Georgios, Tahoori, Mehdi B., Soudris, Dimitrios
Printed electronics (PE) technology provides cost-effective hardware with unmet customization, due to their low non-recurring engineering and fabrication costs. PE exhibit features such as flexibility, stretchability, porosity, and conformality, whic
Externí odkaz:
http://arxiv.org/abs/2312.01172