Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity
<p>This latest episode of <a href="http://brainsandmachines.net/">Brains and Machines</a> features a panel discussion on neuromorphic engineering and physical computing held at the <a href="https://www.sites.se.manchester.ac.uk/atoms2bits/">Atoms to Bits: The AlphaBet of Intelligence v2.0</a> conference at the University of Manchester, held in February 2026. The panelists were <a href="https://www.linkedin.com/in/damienquerlioz/">Dr. Damien Querlioz</a>, <a href="https://www.linkedin.com/in/julian-buechel/">Dr. Julian Büchel</a>, <a href="https://www.linkedin.com/in/tamalika-banerjee-78228629/">Professor Tamalika Banerjee</a>, <a href="https://www.linkedin.com/in/maxence-ernoult-525932b7/">Dr. Maxence Ernoult</a>, and <a href="https://www.linkedin.com/in/stevebfurber/">Professor Steve Furber</a>, and the session was chaired by <a href="https://www.sunnybains.com/" style="color:rgb(17,85,204);">Dr. Sunny Bains</a> of University College London. Discussion follows with Dr. <a href="https://www.linkedin.com/in/giuliadangelo/" style="color:rgb(17,85,204);">Giulia D’Angelo</a> from the Czech Technical University in Prague and Professor <a href="https://engineering.jhu.edu/faculty/ralph-etienne-cummings/" style="color:rgb(17,85,204);">Ralph Etienne-Cummings</a> of Johns Hopkins University. </p>