" Quantum Imaging for the Next Generation of Physical AI and Aerospace"

#" #Quantum #Imaging #for #the #Next #Generation #of #Physical #AI #and #Aerospace"

Satellites, robots, and drones relying on conventional imaging and AI are fundamentally limited by the diffraction limit of classical optics and the power and compute constraints of edge AI processing. Quantum imaging offers a new paradigm: processing information directly from incoming light, enabling orders-of-magnitude improvements in resolution, sensitivity, and processing efficiency. By moving part of the computation into the physics of light itself, quantum imaging dramatically reduces the need for power-intensive downstream processing while unlocking capabilities that classical systems cannot achieve. This breakthrough enables a new class of Physical AI systems for Earth and space observation that are both far more capable and significantly more cost-effective. The technology has the potential to unlock transformative applications—from discovering exoplanets and protecting critical assets in space and on Earth, to enhancing financial intelligence and enabling earlier, more reliable wildfire detection.

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• Northeastern University Innovation Campus at Burlington
• 147 South Bedford Street
• Burlington, Massachusetts
• United States
• Building: Building 5
• Room Number: 1st floor conference space

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• Starts 27 March 2026 12:00 PM UTC
• Ends 15 April 2026 08:00 PM UTC
• No Admission Charge

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