Fixing AI’s Bottlenecks: Memory, Scale, and Sparsity
A panel of neuromorphic engineering experts, including Dr. Damien Querlioz, Dr. Julian Büchel, Professor Tamalika Banerjee, Dr. Maxence Ernoult, and Professor Steve Furber, discusses the bottlenecks in AI hardware at the Atoms to Bits conference. They debate the shift from scale-based emergence to engineered approaches, highlighting memory, connectivity, and sparsity as critical challenges. The discussion also covers the viability of emerging technologies, the role of public funding, and the potential for an AI market bubble.