A Simple Subcortical Feeding Circuit Linking Interoceptive Inputs to Consummatory Behavior

Kavli Affiliate: Zachary Knight and Jeffrey M. Friedman | Authors: Christin Kosse, Jessica Ivanov, Zachary Knight, Kyle Pellegrino and Jeffrey Friedman | Summary: TThe brain processes an array of stimuli enabling the selection of an appropriate behavioural response but the underlying circuitry linking inputs to outputs is unknown. Here we delineate a subcortical circuit in […]


Continue.. A Simple Subcortical Feeding Circuit Linking Interoceptive Inputs to Consummatory Behavior

Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational Databases

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Khatoon Khedri, Reza Rawassizadeh, , | Summary: Large Language Models (LLMs) can automate or substitute different types of tasks in the software engineering process. This study evaluates the resource utilization and accuracy of LLM in interpreting and executing natural language queries against traditional SQL within […]


Continue.. Can LLMs substitute SQL? Comparing Resource Utilization of Querying LLMs versus Traditional Relational Databases

Qubit frugal entanglement determination with the deep multi-scale entanglement renormalization ansatz

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Kushagra Garg, Zeeshan Ahmed, Andreas Thomasen, , | Summary: We study the deep multi-scale entanglement renormalization ansatz (DMERA) on quantum hardware and the causal cone of a subset of the qubits which make up the ansatz. This causal cone spans $O(M+log{N})$ physical qubits on a quantum device, […]


Continue.. Qubit frugal entanglement determination with the deep multi-scale entanglement renormalization ansatz

Qubit frugal entanglement determination with the deep multi-scale entanglement renormalization ansatz

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Kushagra Garg, Zeeshan Ahmed, Andreas Thomasen, , | Summary: We study the deep multi-scale entanglement renormalization ansatz (DMERA) on quantum hardware and the causal cone of a subset of the qubits which make up the ansatz. This causal cone spans $O(M+log{N})$ physical qubits on a quantum device, […]


Continue.. Qubit frugal entanglement determination with the deep multi-scale entanglement renormalization ansatz

Collective Bayesian Decision-Making in a Swarm of Miniaturized Robots for Surface Inspection

Kavli Affiliate: Radhika Nagpal | First 5 Authors: Thiemen Siemensma, Darren Chiu, Sneha Ramshanker, Radhika Nagpal, Bahar Haghighat | Summary: Robot swarms can effectively serve a variety of sensing and inspection applications. Certain inspection tasks require a binary classification decision. This work presents an experimental setup for a surface inspection task based on vibration sensing […]


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FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework

Kavli Affiliate: Jing Wang | First 5 Authors: Junyi Mei, Shixuan Sun, Chao Li, Cheng Xu, Cheng Chen | Summary: Dynamic graph random walk (DGRW) emerges as a practical tool for capturing structural relations within a graph. Effectively executing DGRW on GPU presents certain challenges. First, existing sampling methods demand a pre-processing buffer, causing substantial […]


Continue.. FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework

FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework

Kavli Affiliate: Jing Wang | First 5 Authors: Junyi Mei, Shixuan Sun, Chao Li, Cheng Xu, Cheng Chen | Summary: Dynamic graph random walk (DGRW) emerges as a practical tool for capturing structural relations within a graph. Effectively executing DGRW on GPU presents certain challenges. First, existing sampling methods demand a pre-processing buffer, causing substantial […]


Continue.. FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework

FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework

Kavli Affiliate: Jing Wang | First 5 Authors: Junyi Mei, Shixuan Sun, Chao Li, Cheng Xu, Cheng Chen | Summary: Dynamic graph random walk (DGRW) emerges as a practical tool for capturing structural relations within a graph. Effectively executing DGRW on GPU presents certain challenges. First, existing sampling methods demand a pre-processing buffer, causing substantial […]


Continue.. FlowWalker: A Memory-efficient and High-performance GPU-based Dynamic Graph Random Walk Framework

Searching for Hyper-compact star clusters in the Milky Way using LAMOST and Gaia

Kavli Affiliate: Huawei Zhang | First 5 Authors: Hao Wu, Haibo Yuan, Yilun Wang, Zexi Niu, Huawei Zhang | Summary: During the early merger of the Milky Way, intermediate-mass black holes in merged dwarf galaxies may have been ejected from the center of their host galaxies due to gravitational waves, carrying some central stars along. […]


Continue.. Searching for Hyper-compact star clusters in the Milky Way using LAMOST and Gaia

Dissecting Quantum Many-body Chaos in the Krylov Space

Kavli Affiliate: Huajia Wang | First 5 Authors: Liangyu Chen, Baoyuan Mu, Huajia Wang, Pengfei Zhang, | Summary: The growth of simple operators is essential for the emergence of chaotic dynamics and quantum thermalization. Recent studies have proposed different measures, including the out-of-time-order correlator and Krylov complexity. It is established that the out-of-time-order correlator serves […]


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