Speakers

RISC-V in 2024: Opportunities for Europe

Abstract: RISC-V sees an increasing adoption rate in industry and silicon hits the market. Also European semiconductor companies have identified the potential of this open standard as critical for sovereignty and their ability to innovate. In this keynote, Stefan will give a brief overview of where the RISC-V standard is today, and how Europe is positioning itself on benefiting from the opportunities of RISC-V.

Bio: Stefan is a professor at Hochschule München University of Applied Sciences in Munich, Germany. He also is vice-chair of the RISC-V board of directors.

Brain-Inspired Brain Implants

Abstract: t.b.a.

Bio:

Farshad Moradi is a professor at Aarhus University, the director of ICELAB and the head of the section of electronics and photonics. He received his PhD from University of Oslo in 2011. From 2009-2011, he was with Purdue University in NRL Lab.

His main interest is low power IC design for sensor nodes.

<System-on-Chip related, to be refined>

Abstract: t.b.a.

Bio: Timo is a Professor of Computer Engineering at Tampere University, Finland and the director of the SoC Hub Research Centre.

Neuromorphic Computing and Circuits

Abstract: Modern computing systems consume far too much energy. In the human brain, the 1E11 neurons and 1E15 synapses use about 20 W for computations, while the same complexity simulated in conventional computer hardware draws MW of power. This is becoming a real environmental problem for training of the latest AI system.  Brain-inspired – ’neuromorphic’ – computing systems may transform the way we process signals and data, both in terms of energy efficiency and of their capacity to handle real-world uncertainty. In this talk, after reviewing the background and principals of neuromorphic computing and signal processing, we will focus on the low-level hardware, circuit design, and spiking neural networks for computations.

Bio: Ted Johansson is with Uppsala University since 2021, Associate Professor in Solid-State Electronics. The research is concentrated on neuromorphic circuit design, especially for low-power on-body sensors for health-care, but also in-body communication for sensor networks, and quantum computing. Ted’s career includes positions at small and large companies in the semiconductor and electronics business, and academic research.