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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Upcoming Workshops

Project Phasor - Kickoff
Brian Anderson
2025, Jan 28    19:00 - 20:00 CET
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?

Towards Training Robust Computer Vision Models for Neuromorphic Hardware

Towards Training Robust Computer Vision Models for Neuromorphic Hardware

  • Gregor Lenz
  • 2023, March 10

Join Gregor Lenz as he delves into the world of event cameras and spiking neural networks, exploring their potential for low-power applications on SynSense's Speck chip. Discover the challenges in data, training, and deployment stages. Don't miss this talk on training robust computer vision models for neuromorphic hardware.

C-DNN and C-Transformer: mixing ANNs and SNNs for the best of both worlds

  • Sangyeob Kim
  • 2024, May 4

Join us for a talk by Sangyeob Kim, Postdoctoral researcher at KAIST, on designing efficient accelerators that mix SNNs and ANNs.

Lava: An Open-Source Software Framework for Developing Neuro-Inspired Applications

Lava: An Open-Source Software Framework for Developing Neuro-Inspired Applications

  • Andreas Wild, Mathis Richter
  • 2023, May 31

Discover Lava, an open-source software framework for neuro-inspired applications, presented by Andreas Wild and Mathis Richter. Dive into the future of neuromorphic computing.