• 14:15-14:40
  • Zaal 1

Embed real-time deep learning in your application

  • Bram Senave
  • Easics NV

Today, artificial intelligence often runs in the cloud, with data being sent back and forth between the application and the AI algorithms running on energy-guzzling cloud processors. At easics, we use our expertise in system-on-chip design to develop small, low-power and affordable AI that runs locally, e.g. on your camera system or inside a robot or machine. The result is more secure, faster, and has a low and predictable latency. Which we prove in our demo where you may challenge our hardware demonstrator for real-time object recognition!