Alexandre Marcireau
Software developer in neuromorphic computing, recognized for his contributions to the Faery event processing library for event-based camera data.
Contributions
Initiatives
Executive Committee
Contributors: Justin Riddiough, Alexandre Marcireau, Effiong Blessing
The elected Executive Committee of Open Neuromorphic, responsible for guiding the community and its initiatives.
Learn MoreActivity Timeline
Join Dr. Michael Furlong to explore Vector Symbolic Algebras (VSAs), how they unify symbolic reasoning with connectionist models, and their computational benefits.
Meet the new leadership team elected with a mandate to evolve ONM's structure and drive key initiatives in education and open science.
Implementing ROSBag format support in Faery demonstrates how compiling Rust modules into a Python API ensures high-performance event data decoding.
Nine neuromorphic tool maintainers navigate open-source funding, standardize edge deployments, and successfully balance commercial scale with biological realism.
Discover the architectural decisions behind Faery v0.3.0, including its new MP4 conversion pipeline, dynamic CLI reflection, and Rust-based build challenges.
Alexandre Marcireau: Faery API Hacking
October 29
See how the Faery API handles event-stream regularization and custom CLI parsers to efficiently render uncalibrated neuromorphic event data into MP4 video.
The Faery library's CLI design uses UNIX-style piping to simplify event camera data conversions and complex, real-time filtering pipelines.
Faery's stream-based API and the Neuromorphic Intermediate Representation (NIR) enable deploying models to Innatera's mixed-signal edge chips.
Explore how to use GitHub Actions and cibuildwheel to automate cross-platform compilation and deployment of the Rust-backed Faery event processing library.
Discover methods to efficiently encode and store event-based data from high-resolution event cameras, striking a balance between file size and fast retrieval for spiking neural network training.