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ag2718 6 hours ago

Yes, this work is focused on accelerating very small models, typically for real-time systems that require extremely low power or low latency.

One primary application of this work is in high-energy physics (https://home.cern/smarter-decisions-at-the-speed-of-collisio...). Ultrafast and real-time learning is also very applicable for problems in quantum computing, plasma control, etc. (https://arxiv.org/pdf/2602.02005).

laughing_man an hour ago | parent | next [-]

Drone target recognition?

poly2it 6 hours ago | parent | prev [-]

I'm not in HFT, but I assume this is also an interesting applicable domain?

UltraSane 5 hours ago | parent | next [-]

The author actually works at Jane Street.

ag2718 6 hours ago | parent | prev [-]

Yes, definitely: this type of work is applicable in domains where software run on general-purpose processors cannot meet latency or power requirements.