On Ep. 116 of The AI Podcast from our friends at NVIDIA, Lorenzo Flores of the San Francisco Estuary Institute (SFEI) sits down with host Noah Kravitz to discuss how SFEI is harnessing machine learning to automate trash detection in the San Francisco Bay.
The episode highlights how SFEI are tackling the immense challenge of cleaning up our oceans, rivers, and waterways with the help of cutting-edge technologies including active analytics and GPU-acceleration. The Kinetica Active Analytics Platform, running on NVIDIA GPUs and Oracle Cloud Infrastructure (OCI), enables SFEI to analyze drone imagery with neural networks to detect trash faster.
For more on Kinetica and SFEI, see these resources below:
- Video: SFEI Analyzing Drone Data to Find Trash Fast
- Video: Kinetica & SFEI Session at GTC DC 2019
- Blog: Object Detection Using Transfer Learning with TensorFlow
- Demo: GPU-Accelerated Object Detection with Kinetica, Oracle Cloud, and SFEI
Andrew Wooler, Business Development, Kinetica