Workshop on Systems for Next-Gen AI Paradigms (SNAP)

At MLSys'23

Thursday, June 8th, 2023

Miami Convention Center

Deep learning methods have made great strides in machine intelligence over the past few years, but they are now having trouble keeping up with the growing amount of data and resources. As traditional system architectures get closer to their physical limits, the problem of compute scalability is getting worse, which makes it hard to predict how far AI methods and systems can go in the future. These issues beg the question: What are alternative directions for the next-generation of AI methods and systems that will run them?


Processing domains like analog, asynchronous, event-based, probabilistic, neuromorphic, photonic, and quantum computing have all shown promise for faster, more efficient AI with new capabilities through a complete shift in the way AI systems work. 


The goal of this workshop is to kick off discussions about next-generation systems and methods that will help AI move forward, specifically through a realistic assessment of how these exotic emerging approaches for next-generation AI are making progress toward practical relevance and in what timeframes.


We want to help both experts and non-experts, believers and doubters, by achieving the following goals:

Organizing Committee

Program Committee

Amir Yazdanbakhsh (Google)

Jae-sun Seo (Arizona State University)

Lyes Khacef (Sony)

Siddharth Joshi (University of Notre Dame)

Ajay Joshi (Boston University)

Gian Giacomo Guerreschi (Intel)

Brad Theilman (Sandia National Laboratories)

Benjamin Scellier (Rain Neuromorphics)

Darius Bunandar (Lightmatter)