A radio telescope starts finding signals on its own: one plain-language request lets agents steer the dish and process 2.4 terabits per second in flight
Breakthrough Listen and the SETI Institute have brought AI agents into the daily search at the Allen Telescope Array, where a single natural-language request lets agents steer the instrument, calibrate and focus it, correct data errors and apply AI models to the incoming stream. On NVIDIA's Holoscan platform, the DAQIRI library pulls terabits per second of sensor data straight into GPU memory so observations are processed in flight, and the system handles 2.4 terabits per second on RTX PRO 6000 Blackwell GPUs. The pipeline has achieved the first real-time AI detection of a pulsar, in the Crab Nebula, and the team is now evaluating open models including Nemotron for settings where data locality and turnaround matter most.