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Contributed talk by Augusto Gomez-Eguiluz from the University of Seville. "ASAP: Adaptive Scheme for Asynchronous Processing ...

The Channel Monitoring Pattern of reactive architecture allows systems to be programmatically self-aware in terms of loads on ...

cmsc125 #srg_ics_uplb #ostep.

Let's connect! Please fill out this google form with your e-mail address: https://forms.gle/Yaw23AMHe85CV8JAA This video is a ...

Presentation movie for Tsuji et al., "Event-based Camera Simulation using Monte Carlo Path Tracing with Adaptive Denoising," ...

Event-based Robot Vision © Guillermo Gallego 2020 Slides: ...

Event-based Robot Vision © Guillermo Gallego 2020 Slides: ...

This is lecture number 4 in Örebro University's course DT136G "Programming of Distributed Systems" spring 2026. More about ...

Contributed talk by Mathias Gehrig from the University of Zurich. "Event-Based Angular Velocity Regression with Spiking ...

libcamera is the open-source camera framework for Linux systems. While its goals, architecture and application API have been ...

In component-based programming, components are self-contained pieces of functionality, which are inserted as part of a larger ...

This is a video from the master 2nd year in Computer Science (Distributed Systems and Applications) by Sorbonne Université.

Keynote by Martin Kleppmann at the 15th ACM International Conference on Distributed and Event-based Systems (ACM DEBS ...

This is a video from the master 2nd year in Computer Science (Distributed Systems and Applications) by Sorbonne Université.

More: https://berlinbuzzwords.de/session/stream-processor-event-driven-database-stateful-functions Orchestration frameworks ...

The JUCE framework enables many plugin developers to inspire musicians and their latest future plans are quite exciting.

Event-based Robot Vision © Guillermo Gallego 2020 Slides: ...

Project page: https://github.com/tub-rip/ES-PTAM Paper: https://arxiv.org/pdf/2408.15605 Visual Odometry (VO) and SLAM are ...

Contributed talk by Daniel Gehrig from the University of Zurich. "Event-based Asynchronous Sparse Convolutional Networks".

Events are tricky to model, where does one event start and another one end? How do you know what data to populate an event ...