Selected Talks & Media

CAIM Ethics Talks - Feb. 29 - Info
The CAIM Embedded Ethics Lab hosted its second series of Ethics Talks entitled "Transparency and Ethics in AI Development" to foster public dialogue into ethical challenges of AI applications in medicine.

Mihai A. Petrovici was invited to discuss "AI, autonomy, and mental health." -> Recording

Jülich-Aachen Neuromorphic Computing Day - Info

Mihai A. Petrovici gives his "New insights into the physics of computing" -> Recording

The Human Brain Project Podcast - Info
Mihai A. Petrovici talks about his research on intelligence, his experience of growing up in a family of physicists, and what he does for fun outside of work.

Listen to the podcast "The intersection of biological and artificial intelligence" on YouTube
and also on Spotify & Apple Podcasts

DEEP MINDS Podcast (in German) - Info
MIXED.de is Germany's first and widest-reaching online magazine for mixed reality and the future of computers. DEEP MINDS, a MIXED.de Podcast, interviews well-versed people from various disciplines who deal with artificial intelligence and science.

Laura Kriener and Julian Göltz talked about
"AI Hardware of the Future: What is Neuromorphic Computing?"

NICE Conference & Workshop - Info

> Recording of the talk presented by Paul Haider on his first publication "Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons".

> Recording of the talk presented by Andreas Baumbach on "Quantum many-body states: A novel neuromorphic application".

Our group leader speaks his mind!

Read the Interview that Mihai A. Petrovici gave on Science and Politics to Uniaktuell - the online magazine of the University of Bern.

Press Release from UniBE on our NeurIPS article!

Fast information processing with slow neurons
> see related Publication - Recording of the NeurIPS oral presentation

Press Release from UniBE and eLife Digest!

> UniBe Press Release: When algorithms get creative
> eLife Digest: Can AI learn to adapt?
see related Publication

Variational learning of quantum ground states on spiking neuromorphic hardware

Blog post - see related Publication

TTFS: Press Release from Heidelberg University, News & Views, and related news articles

Press Release: Solving Complex Learning Tasks In Brain-Inspired Computers - see related Publication

• News & Views by Charlotte Frenkel: Sparsity provides a competitive advantage
  
• New Spiking Neuromorphic Chip Could Usher in an Era of Highly Efficient AI Published on Singularity Hub, which offers daily news coverage, feature articles, and insights on key breakthroughs and future trends in science and technology.
• Human Brain Project: Neuromorphe Netze sollen Deep Learning verändern Published on MIXED.de, Germany's first and largest online magazine for mixed reality and the future of computers.
• A framework to enhance deep learning using first-spike times Published on the News website Tech Xplore, which covers the latest engineering, electronics and technology advances. The resulting interview with Ingrid Fadelli of Tech Xplore includes a short overview of our study.

Read our Success Story on using the Fenix Supercomputing Infrastructure!

HPC Simulations Support Fast and Energy Efficient Deep Neuromorphic Learning

Our work selected for the Frontiers Research Topic!
Read the two selected articles on neuromorphic experiments using the BrainScaleS systems in the Neuromorphic Engineering Editors' Pick 2021.

First BrainScaleS Generation: Accelerated Physical Emulation of Bayesian Inference in Spiking Neural Networks

Second BrainScaleS Generation: Demonstrating Advantages of Neuromorphic Computation: A Pilot Study

NEUROTECH Education Programme - Info

Recording of Laura Kriener's' presentation on
"Fast and deep: energy-efficient neuromorphic learning with first-spike times."

ERCIM News
We contributed three articles to the special issue Brain-inspired Computing of the European Research Consortium for Informatics and Mathematics Magazine (ERCIM).

BrainScaleS: Greater Versatility for Neuromorphic Emulation

Uncovering Neuronal Learning Principles through Artificial Evolution

Fast and Energy-efficient Deep Neuromorphic Learning

NICE Conference & Workshop - Info
Find below the recordings of the Talks given by:

> Elena Kreutzer - Natural gradient learning for spiking neurons
> Julian Göltz - Natural gradient learning for spiking neurons
> Jakob Jordan - Conductance-based dendrites perform reliability-weighted opinion pooling
> Korbinian Schreiber - Closed-loop experiments on the BrainScaleS-2 architecture

Bernstein Conference - Info

Recorded poster presentation from Akos F. Kungl:
"Self-sustained probabilistic computing on spike-based neuromorphic systems"

Spiking Neural networks as Universal Function Approximators Workshop - Info

Recorded talk presentation from Julian Göltz:
"Fast and deep neuromorphic learning with time-to-first-spike coding"

Press Release from the Human Brain Project on our Frontiers in Neuroscience article!

Order from chaos, chaos from order
> see related Publication

COSYNE Conference & Workshop - Info

Recorded talk presentation from Dominik Dold:
"Lagrangian dynamics of dendritic microcircuits enables backpropagation"

Bloomberg Moonshot Documentary - Info
Mihai was interviewed by the Bloomberg's Moonshot Documentary team for a feature on the Human Brain Project.

Trailer: Moonshots Are Changing The World
Film: Building a Computer Like Your Brain

NICE Conference & Workshop - Info

Recording of the talk: Computing with physics: from biological to artificial intelligence and back again presented by Mihai A. Petrovici - Slides

euronews.next - FUTURIS Documentary - Info
Mihai was interviewed by the FUTURIS Documentary team of euroneus.next for a feature on the Human Brain Project and computational neuroscience.

> Focus on the HBP: The Human Brain Project: Slicing brains and thinking machines
> Focus on Bio-AI: Can we make computer like the human brain?

KITP Conference: At the Crossroad of Physics and Machine Learning - Info

Recording of the talk: Computers like brains - Model for computation with bio-inspired neuronal substrates presented by Mihai A. Petrovici - Slides

DisruptIT Conference - Info

Recorded talk presentation from Karlheinz Meier:
"Neuromorphic Computing Architectures and Applications"

Press Release from Heidelberg University on the construction of a building for the European Institute for Neuromorphic Computing (EINC)!

> Ein neues Forschungsgebäude für Neuromorphes Rechnen
> Adress by Karlheinz Meier
> Further information on the Human Brain Project website.

Press Release from Heidelberg University on our Physical Review article!

Gehirn tastet Wahrscheinlichkeitsverteilung ab
> see related Publication

Press Release from Heidelberg University on the neuromorphic computing system BrainScaleS (Brain-inspired multiscale computation in neuromorphic hybrid systems)

Wenn Nervenzellen Muster für erlerntes Wissen erkennen

Springer Theses - Info

Mihai Petrovici received the Springer Thesis Award for:
Form Versus Function: Theory and Models for Neuronal Substrates - PDF

NICE Conference & Workshop - Info

Recording of the talk: Stochastic inference with deterministic spiking neurons presented by Mihai A. Petrovici - Slides

The Brain Forum - Info

Recorded talk presentation from Karlheinz Meier:
"Brain science in the information age" - Slides

NewScientist article on the Spikey neuromorphic system - Info

Brain-like chip outstrips normal computers