How Deep Learning and Differential Programming Accelerate Progress in Neutrino Astronomy
neutrino astronomy. I will focus on methodological advances that lie at the interface of computer science and physics, illustrating how shared techniques can accelerate progress through four recent developments: [...] compared to classical techniques. I will describe the associated challenge of processing continuous data streams exceeding 1 GS/s on low-power (~10 W) FPGAs and our solutions for low-latency inference in [...] ongoing efforts toward a multi-messenger foundation model capable of jointly analyzing heterogeneous data from neutrinos, gamma rays, cosmic rays, and gravitational waves, to infer the properties of astrophysical …
