Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity

Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity

From EE Times Current by EE Times On Air

April 23, 2026 · 59 min

About this episode

This episode features a panel discussion on neuromorphic engineering and physical computing.

This latest episode of Brains and Machines features a panel discussion on neuromorphic engineering and physical computing held at the Atoms to Bits: The AlphaBet of Intelligence v2.0 conference at the University of Manchester, held in February 2026. The panelists were Dr. Damien Querlioz , Dr. Julian Büchel , Professor Tamalika Banerjee , Dr. Maxence Ernoult , and Professor Steve Furber , and the session was chaired by Dr. Sunny Bains of University College London. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University.

People in this episode

Host: Dr. Sunny Bains

Guests: Dr. Damien Querlioz, Dr. Julian Büchel, Professor Tamalika Banerjee, Dr. Maxence Ernoult, Professor Steve Furber

Topics covered

  • neuromorphic engineering
  • physical computing
  • AI bottlenecks
  • memory
  • scale
  • sparsity

Keywords

  • AI
  • neuromorphic engineering
  • physical computing
  • memory
  • scale
  • sparsity
  • panel discussion
  • conference

Mentioned in this episode

Organizations: University College London, Czech Technical University, Johns Hopkins University

Places: University of Manchester

More episodes of EE Times Current

Explore listener stats, chart rankings, contacts and more on the EE Times Current podcast page.