Seeing in the Dark: Unlocking AI in Next-Gen Radar Applications

​Please join Charlottesville Data Science on the evening of Thursday, January 22 for the talk Seeing in the Dark: Unlocking AI in Next-Gen Radar, featuring Charlottesville's own Dr. May Casterline of NVIDIA! May recently delivered this talk at NVIDIA's major GTC conference in Washington, DC.

How to Find Us

​We'll be gathering in person at TELUS Digital (previously known as WillowTree). Please refer to the event page on Luma for specific directions about how to find us and access the building.

→ We're moving our events calendar to Luma! We'll continue cross-posting our events here on Meetup for the foreseeable future, but we'll use Luma for planning and all event-related communications. Please head over there to RSVP, and consider subscribing to our Luma calendar! ←

About the talk

​Radar has long enabled us to "see" what the human eye cannot—through darkness, fog, and across great distances. In areas like remote sensing and synthetic aperture radar (SAR), it reveals the invisible, powering applications from environmental monitoring to autonomous systems. Yet radar development has traditionally been split between two worlds: the rigor of digital signal processing (DSP) and the adaptability of AI.

This talk introduces NVIDIA NVRadar, a GPU-native software framework that unites DSP and AI into a single, accessible workflow. By combining simulation, testing, model training, and real-time deployment, it opens the door for both engineers and AI practitioners to create smarter, more responsive radar systems. Attendees will see how next-generation tools are transforming radar into an intelligent platform for "seeing in the dark."

→ RSVP on Luma! ←