AI & Digitalization Breakfast Seminar: Neuromorphic technology – Rethinking the computer for AI

Seminar

From: 2025-12-10 09:00 to 10:00
Place: MH:227, Centre for Mathematical Sciences, Märkesbacken 4, LTH
Contact: susanna [dot] lonnqvist [at] eit [dot] lth [dot] se

Welcome to join AI & Digitalization Breakfast Seminar with Mattias Borg and Baktash Behmanesh on Neuromorphic technology – Rethinking the computer for AI

When: Wednesday December 10, 2025 09:00-10:00

Where: MH:227, Centre for Mathematical Sciences, Märkesbacken 4, LTH

Register: for free breakfast at the seminar, register no later than December 4th by using this link.

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.

The Breakfast Seminar Series is sponsored by the LTH Profile Area AI & Digitalization.