Fabrizio Ottati

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

NorthPole outperforms all prevalent architectures, even those that use more-advanced technology processes.

A deep dive into IBM's NorthPole, a brain-inspired AI accelerator. Understand its architecture, 10 core axioms, and how it achieves groundbreaking energy efficiency for neural inference.

Join us for a workshop with Timoleon Moraitis, research group leader in neuromorphic computing, at the interface of computational neuroscience with artificial intelligence.

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

Delve into the world of visual attention mechanisms with Giulia D'Angelo as she explores the interplay of bottom-up and top-down processes, offering insights into bio-inspired models for enhanced robotic perception and interaction.

Explore the journey from C/C++ to Dynamically Scheduled Circuits with Lana Josipović, an expert in high-level synthesis and reconfigurable computing. Join her recorded workshop session on innovative hardware design techniques.

Explore the brain's potential use of gradient descent in learning processes with Konrad Kording in this engaging recorded session.

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

Join Gregor Lenz for an engaging hands-on session featuring Sinabs and Speck. Explore the world of neuromorphic engineering and spike-based machine learning.

Explore the innovative TrueNorth neuromorphic chip, its event-driven architecture, low power operation, massive parallelism, real-time capabilities, and scalable design.

Dive into evolutionary optimization techniques for neuromorphic systems with Catherine Schuman, an expert in the field. Watch the recorded workshop for valuable insights.

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.

Join Jason Eshraghian for an engaging hands-on session featuring snnTorch. Explore the world of neuromorphic engineering.

Discover methods to efficiently encode and store event-based data from high-resolution event cameras, striking a balance between file size and fast retrieval for spiking neural network training.

Stay up-to-date with cutting-edge digital hardware designs for neuromorphic applications. Explore recent research on power-efficient event-driven spiking neural networks and state-of-the-art processors like TrueNorth and Loihi.

Learn how to model Leaky Integrate and Fire (LIF) neurons in digital hardware. Understand spike communication, synapse integration, and more for hardware implementation.