Zobrazeno 1 - 10
of 64 772
pro vyhledávání: '"P, Murat"'
Autor:
Dang, Quang, Kucukosmanoglu, Murat, Anoruo, Michael, Kargosha, Golshan, Conklin, Sarah, Brooks, Justin
Assessing cognitive workload is crucial for human performance as it affects information processing, decision making, and task execution. Pupil size is a valuable indicator of cognitive workload, reflecting changes in attention and arousal governed by
Externí odkaz:
http://arxiv.org/abs/2410.14174
Ultrafast pulses, particularly those with durations under 100 femtoseconds, are crucial in achieving unprecedented precision and control in light-matter interactions. However, conventional on-chip photonic platforms are not inherently designed for ul
Externí odkaz:
http://arxiv.org/abs/2410.13628
Despite AI advancements, individuals without software or hardware expertise still face barriers in designing wearable electronic devices due to the lack of code-free prototyping tools. To eliminate these barriers, we designed ProtoBot, leveraging lar
Externí odkaz:
http://arxiv.org/abs/2410.08340
Autor:
Li, Zhuohang, Zhang, Jiaxin, Yan, Chao, Das, Kamalika, Kumar, Sricharan, Kantarcioglu, Murat, Malin, Bradley A.
Language models (LMs) are known to suffer from hallucinations and misinformation. Retrieval augmented generation (RAG) that retrieves verifiable information from an external knowledge corpus to complement the parametric knowledge in LMs provides a ta
Externí odkaz:
http://arxiv.org/abs/2410.08320
This paper introduces a novel approach in neuromorphic computing, integrating heterogeneous hardware nodes into a unified, massively parallel architecture. Our system transcends traditional single-node constraints, harnessing the neural structure and
Externí odkaz:
http://arxiv.org/abs/2410.00295
Autor:
Radwan, Mohamed A., Bhattacharjee, Himaghna, Lanners, Quinn, Zhang, Jiasheng, Karakulak, Serkan, Nassif, Houssam, Bayir, Murat Ali
We propose a domain-adapted reward model that works alongside an Offline A/B testing system for evaluating ranking models. This approach effectively measures reward for ranking model changes in large-scale Ads recommender systems, where model-free me
Externí odkaz:
http://arxiv.org/abs/2409.19824
Autor:
Murat, Antoine, Burgelin, Clément, Xygkis, Athanasios, Zablotchi, Igor, Aguilera, Marcos K., Guerraoui, Rachid
Memory disaggregation is an emerging data center architecture that improves resource utilization and scalability. Replication is key to ensure the fault tolerance of applications, but replicating shared data in disaggregated memory is hard. We propos
Externí odkaz:
http://arxiv.org/abs/2409.16258
We leverage best response dynamics to solve monotone variational inequalities on compact and convex sets. Specialization of the method to variational inequalities in game theory recovers convergence results to Nash equilibria when agents select the b
Externí odkaz:
http://arxiv.org/abs/2409.09961
Autor:
Ozkendir, Osman Murat
This study introduces a novel approach for crystal structure analysis, utilizing Inverse EXAFS Analysis (IEA). To assess the reliability of IEA, we applied it to various experimentally studied materials, including LiCrO2 and CuFeO2. Our findings demo
Externí odkaz:
http://arxiv.org/abs/2409.09693
We present a method to train neural network controllers with guaranteed stability margins. The method is applicable to linear time-invariant plants interconnected with uncertainties and nonlinearities that are described by integral quadratic constrai
Externí odkaz:
http://arxiv.org/abs/2409.09184