Noeon Research
@noeonai
AI Architecture for Problem Solving
ID: 1763149995287719936
https://noeon.ai/ 29-02-2024 10:31:47
31 Tweet
100 Takipçi
68 Takip Edilen
Our colleagues Blaine William Rogers and @greggelfond will be attending NeurIPS Conference next week. Reach out to them if you'd like to grab a coffee and learn more about #NoeonResearch, and our new, general-purpose white-box architecture. See you soon at NeurIPS! #NeurIPS2024 #AGI
Our Research Engineer, German Magai (German Magai), published a Medium article last week providing an overview of “Sheaf theory: from deep geometry to deep learning.” You can read German's breakdown of the recent paper by Ayzenberg, Gebhart, Magai, and Solomadin here:
We took a deep dive into Sheaves in our latest blog post "Sheaf Theory: From Deep Geometry to Deep Learning": noeon.ai/blog/sheaf-the… Recently our researchers Anton Ayzenberg and German Magai (German Magai) in collaboration with Thomas Gebhart at the University of Minnesota and
We are proud to back TAIS 2025 happening this Saturday, April 12th, 2025. The day will be full with poster sessions, and talks by Ryota Kanai Ryota Kanai, and Adam Gleave Adam Gleave. Join us and participate in conversations that could help shape a safer future for AI! Doors open at
Next week, our Research Engineer, Denis Sevostyanov (Denis Sevostyanov) will attend the Conference on Programming Language Design and Implementation #PLDI2025. He'll be happy to talk with you about Noeon's approach towards an alternative architecture for transparent, white-box
Our researcher Grigory Kondyrev coauthored a new paper together with David Spivak David Spivak. "The Compact Double Category Int(Poly*) Models Control Flow and Data Transformations" provides a categorical operad that simultaneously captures the behavior of data and control
What if you could see why your code breaks? In our newest blog post, we examine the recent paper published by Noeon's own Grigory Kondyrev and co-authored by David Spivak David Spivak: Int(Poly*)—a unified framework that visualizes the hidden interplay between control flow