Building Neuromorphic Applications Using Talamo

This offers a sneak-peek into Innatera’s technology stack allowing application development from scratch and deploying it on mixed-signal neuromorphic hardware.

  • George Vathakkattil Joseph, Innatera
  • October 23, 2023

Innatera is a trailblazing developer of ultra-low power intelligence for sensors. It enables fast and efficient processing of sensor data by combining a revolutionary brain-inspired computing architecture with powerful new software.

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Building Neuromorphic Applications Using Talamo

About the Speaker

George is currently Product Architect at Innatera. He completed his Ph.D. from the Dynamical systems and risk lab, University College Dublin, focusing on continuous-time non- von Neumann computing paradigms. Prior to that, as an engineering physics graduate, he worked on classical approximations of quantum effects in photonics. At Innatera, he helps define the software and hardware architecture for Innatera’s product vision. His other interests span across compilers, music theory, and long-distance cycling. He believes that the best bet for embedded AI in real applications is through neuromorphic computing. His day-to-day revolves around finding balance - where do real signals stop and spikes begin, where do developers stop and compilers begin, where does work stop and life begin?

Hands-on with Xylo and Rockpool

Hands-on with Xylo and Rockpool

  • Dylan Muir
  • 2023, April 26

Discover Xylo and Rockpool in a hands-on session with Dylan Muir, exploring cutting-edge neural computation architectures and signal processing.

Low-power Spiking Neural Network Processing Systems for Extreme-Edge Applications

Low-power Spiking Neural Network Processing Systems for Extreme-Edge Applications

  • Federico Corradi
  • 2023, June 8

Join Dr. Federico Corradi as he explores low-power spiking neural network processing systems, offering insights into energy-efficient computing for extreme-edge applications.

Hybrid Learning for Event-based Visual Motion Detection and Tracking of Pedestrians

Hybrid Learning for Event-based Visual Motion Detection and Tracking of Pedestrians

  • Cristian Axenie
  • 2024, January 15

Revolutionize traffic safety with neuromorphic visual sensing. Explore award-winning solutions for pedestrian detection and tracking, emphasizing sustainability and city-level deployment. Join Dr. Cristian Axenie in this groundbreaking AI exploration