AI Lund Lunch seminar: Neuromorphic technology – Rethinking the computer for AI

Topic: Neuromorphic technology – Rethinking the computer for AI

When: 11 March, 2026 12.00 to 13.00 CET

Where: Online - link by registration 

Speakers: 

• Mattias Borg, Electromagnetics and Nanoelectronics, Lund University
• Baktash Behmanesh, Integrated Sensors and Adaptive Technology for Sustainable Products and Manufacturing, Lund University

Abstract

Artificial Intelligence (AI) has revolutionized countless domains, but its growing energy footprint poses a critical challenge. The primary bottleneck lies in data movement - shuttling information between memory and processors consumes far more energy than computation itself. In contrast, the human brain achieves remarkable efficiency by computing where the data resides. Neuromorphic technology takes inspiration from this principle, rethinking the computer architecture to suit the heavy data loads of AI. By leveraging materials with memory properties, such as memristors, we can enable analog, in-memory computation that drastically reduces energy costs. 

This talk explores how neuromorphic hardware can disrupt conventional AI processing and why success will depend on a co-design approach, requiring interdisciplinary teams integrating expertise in materials science, circuits and system architecture, and algorithm development. 

We will outline our current effort (NeuTec) which will bring together Swedish neuromorphic researchers at all technology levels, bridging disciplines and forming common visions, with the ultimate goal for Sweden to lead in a new era of sustainable, brain-inspired computing. 

Speaker bios

Mattias Borg is Senior Lecturer in Nanoelectronics at Lund University, with previous research positions within the semiconductor industry, including IBM and Ericsson. His research focuses on the materials and device aspects of neuromorphic technology, as well as three-dimensional integration of emerging technologies with Si CMOS. 

Baktash Behmanesh received his PhD in 2017 from Sharif University of Technology, Tehran, Iran. In 2018, he joined the EIT department of Lund University, where he is currently an Associate Senior Lecturer focusing on analog/RF Integrated Circuit design. His research interests include RF and millimeter-wave front-end design, design of frequency synthesis circuits for wireless communication systems, and neuromorphic circuit design.

Registration

To participate is free of charge. Sign up at ai.lu.se/2026-03-11/registration and we send you an access link to the zoom platform.