Skadi: Building a Distributed Runtime for Data Systems in Disaggregated Data Centers

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The increasing diffusion of novel digital and online sociotechnical systems for arational behavioral influence based on Artificial Intelligence (AI), such as social media, microtargeting advertising, and personalized search algorithms, has brought about ne ...

A crucial building block of responsible artificial intelligence is responsible data governance, including data collection. Its importance is also underlined in the latest EU regulations. The data should be of high quality, foremost correct and representati ...

The landscape of computing is changing, thanks to the advent of modern networking equipment that allows machines to exchange information in as little as one microsecond. Such advancement has enabled microsecond-scale distributed computing, where entire dis ...

This dataset supports the publication 'Elastocapillary menisci mediate interaction of neighboring structures at the surface of a compliant solid' by Lebo Molefe and John M. Kolinski, Physical Review E, (2023). The data are surface profiles of textured surf ...

The CA1 region of the hippocampus is one of the most studied regions of the rodent brain, thought to play an important role in cognitive functions such as memory and spatial navigation. Despite a wealth of experimental data on its structure and function, i ...

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In-situ marine cloud droplet number concentrations (CDNCs), cloud condensation nuclei (CCN), and CCN proxies, based on particle sizes and optical properties, are accumulated from seven field campaigns: ACTIVATE; NAAMES; CAMP(2)EX; ORACLES; SOCRATES; MARCUS ...

Accessing input data is a critical operation in data analytics: i) slow data access significantly degrades performance, and ii) storing everything in the fastest medium, i.e., memory, incurs high operational and hardware costs. Further, while GPUs offer in ...

In situ imageomics is a new approach to study ecological, biological and evolutionary systems wherein large image and video data sets are captured in the wild and machine learning methods are used to infer biological traits of individual organisms, animal ...

We propose centralized brain observatories for large-scale recordings of neural activity in mice and non-human primates coupled with cloud-based data analysis and sharing. Such observatories will advance reproducible systems neuroscience and democratize ac ...

Skadi: Building a Distributed Runtime for Data Systems in Disaggregated Data Centers

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On Artificial Intelligence and Manipulation

incentive Mechanism Design for Responsible Data Governance: A Large-Scale Field Experiment

Reliable Microsecond-Scale Distributed Computing

Dataset for "Elastocapillary menisci mediate interaction of neighboring structures at the surface of a compliant solid"

Community-based reconstruction and simulation of a full-scale model of region CA1 of rat hippocampus

Blue Brain Nexus: An open, secure, scalable system for knowledge graph management and data-driven science

Multi-campaign ship and aircraft observations of marine cloud condensation nuclei and droplet concentrations

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

A Framework for Autonomic Computing for In Situ Imageomics

Next-generation brain observatories