Paper-Conference

From Signals to Features to Insights: Multi-Level Novelty Detection for Fast Scientific Discovery

Most scientific discoveries depend on identifying novel signals hidden in massive, noisy datasets generated by modern experiments. Traditional novelty detection methods are often …

Devashri Naik

• Jan 1, 2025 • 1 min read

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

We develop and study FPGA implementations of algorithms for charged particle tracking based on graph neural networks. The two complementary FPGA designs are based on OpenCL, a …

Aneesh Heintz

• Nov 1, 2020 • 1 min read

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era

This report provides an overview of recent work that harnesses the Big Data Revolution and Large Scale Computing to address grand computational challenges in Multi-Messenger …

Gabrielle Allen

• Jan 1, 2019 • 1 min read

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Paper-Conference

From Signals to Features to Insights: Multi-Level Novelty Detection for Fast Scientific Discovery

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

Deep Learning for Multi-Messenger Astrophysics: A Gateway for Discovery in the Big Data Era