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20242026
most citedAI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload

8 citations · 20 across the 28 of their papers we have counts for

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cs.DC2024

OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems

Ivy Peng, Martin Schulz, Utz-Uwe Haus +8

OpenCUBE aims to develop an open-source full software stack for Cloud computing blueprint deployed on EPI hardware, adaptable to emerging workloads across the computing continuum.…

cs.DC2024

Understanding Data Movement in AMD Multi-GPU Systems with Infinity Fabric

Gabin Schieffer, Ruimin Shi, Stefano Markidis +3

Modern GPU systems are constantly evolving to meet the needs of computing-intensive applications in scientific and machine learning domains. However, there is typically a gap betwe…

cs.AI2024★ 8 cited

AI in Space for Scientific Missions: Strategies for Minimizing Neural-Network Model Upload

Jonah Ekelund, Ricardo Vinuesa, Yuri Khotyaintsev +3

Artificial Intelligence (AI) has the potential to revolutionize space exploration by delegating several spacecraft decisions to an onboard AI instead of relying on ground control a…

quant-ph2024

Beyond the Buzz: Strategic Paths for Enabling Useful NISQ Applications

Pratibha Raghupati Hegde, Oleksandr Kyriienko, Hermanni Heimonen +6

There is much debate on whether quantum computing on current NISQ devices, consisting of noisy hundred qubits and requiring a non-negligible usage of classical computing as part of…

cs.LG2024★ 1 cited

Decoding complexity: how machine learning is redefining scientific discovery

Ricardo Vinuesa, Paola Cinnella, Jean Rabault +10

As modern scientific instruments generate vast amounts of data and the volume of information in the scientific literature continues to grow, machine learning (ML) has become an ess…