Neuromorphic computation and intelligence on Jens Egholm Pedersen

A short talk for the Acoustic Technology presentation day at DTU Electro, aimed at companies and fellow researchers, on what neuromorphic computing can offer signal processing in acoustics — and beyond.

A guest lecture for 342 Energy Efficient Computing course at Stanford University, co-presented with Steven Abreu (University of Groningen).

This is a companion exercise for the guest lecture on Brain-Inspired Computing with Spiking Neural Networks in 27020 Bioengineering.

A guest lecture for 27020 Bioengineering (Polytechnical Foundation) at DTU on brain-inspired computing with spiking neural networks.

A talk for the Advanced Topics in Hearing Research seminar at DTU Department of Health Technology on brain-inspired event-based signal processing and neuromorphic computing.

A talk for the REAL group (Robotics, Evolution and Artificial Life) at the IT University of Copenhagen on event-driven sensing and neuromorphic computation for embodied intelligence.

A talk for researchers who use computation but may not think of themselves as software developers.

I was invited to give student talk on at the Open Neuromorphic student talk about spiking neural receptive fields.

I defended my PhD at the KTH Royal Institute of Technology!

Neuromorphic computing exploits the laws of physics to perform computations, similar to the human brain.

I was invited to give an overview of neuromorphics and talk about my research to the Acoustic Technology group at the Danish Technical University.

I was invited to talk about dynamical systems for control at the Telluride neuromorphic cognition engineering workshop.

TL;DR I claim that modern science is synonymous with open source software.

I was invited to talk about neuromorphic computing at the Faroese tech festival, Tonik.

I was invited to talk about neuromorphic computing from first principles at the Stategic Alliance for Neuromorphic Computing and Engineering (STANCE), organized by the Frauenhofer Institute for Industrial Mathematics.

Are we heading towards a power wall?

Anders Høeg Nissen interviewed me for the AI Denmark podcast where we had great fun discussing neuromorphic computing and how the technology can help AI.

I was invited to give a webinar at the academic labour union for academic professionals in Denmark, DM.

I was invited to talk at a conference for leading IT managers in Denmark, Dansk IT Lederfokus.

The Danish Association of Masters and PhDs interviewed me about neuromorphic computing and future prospects.

I was invited to the Brains and Machines podcast podcast to discuss my work on computational abstractions for neuromorphics, event-based vision, and NIR.

The event based dataset can control arbitrary affine transformations and outputs very sparse data, perfect for training event-driven neural network models.

I presented at the OffDig conference in Aarhus, Denmark, on the topic of neuromorphic computing and its applications in event-based vision and neuromorphic intelligence.

I recently gave a seminar summarizing parts of my research.

Together with three of co-authors of the NIR paper, Jason Eshragian, Bernhard Vogginger, and Felix Bauer, we published a hands-on tutorial of the Neuromorphic Intermediate Representation (NIR) on YouTube.

I presented the Neuromorphic Intermediate Representation at the Spiking Neural networks as Universal Function Approximators (SNUFA) workshop.

I gave an overview of neuromorphic engineering for the Nordic Neuromorphs journal club.

We published a paper on Translation and Scale Invariance for Event-Based Object tracking for the Neuro-Inspired Computational Elements Conference (NICE) held in San Antonio, Texas.

AEStream sends data from input sources to output sinks.

I recently held a seminar demonstrating 50% completion of my PhD thesis on Neuromorphic computing for closed-loop systems.

A presentation on the need for neuromorphic abstractions given to the Open Neuromorphic community.

A video tutorial on neuromorphic real-time programming using Norse and AEStream.

An essay on the invention of $\lambda$ calculus, as a PDF.

The search for building and understanding intelligent machines has been under way for thousands of years and appear fundamental to the human condition [@Russel_Norvig_2010].

During the conference on Spiking Neural networks as Universal Function Approximators (SNUFA), I gave a talk about the work I have done together with Christian Pehle on a PyTorch-based simulator for biological spiking neural networks.

I recently held a seminar demonstrating 30% completion of my PhD thesis on Neuromorphic computing for closed-loop systems.

This page is meant as a guide and quickstart for students at KTH.

I gave a talk on brain-inspired control systems for the Human Brain Project (HBP) student community.

This new website will feature the research, thoughts, and notes of Jens Egholm Pedersen Welcome!