Fast Machine Learning for Science Conference 2026

The Fast Machine Learning for Science Conference 2026 (FastML) addresses one of the most urgent challenges in modern scientific computing: deploying machine learning inference rapidly enough to handle the enormous data rates generated by cutting-edge scientific instruments. The conference is particularly associated with the use of FPGAs, ASICs, and other specialized hardware for real-time AI.

Topics include hardware-accelerated inference, neural network compression and quantization, edge AI for scientific detectors, and applications in high-energy physics, radio astronomy, and genomics. Physicists, computer engineers, data scientists, and instrumentation specialists will find the conference essential for staying current with the fastest-moving corner of scientific ML. FastML is an important venue for those who recognize that speed and efficiency are as scientifically critical as algorithmic accuracy.