Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...
In today’s landscape of multi-billion dollar bets on AI-ready data centers, it’s easy for a $100 million raise to be overlooked. But the latest investment round in Hammerspace deserves closer ...
Abstract: Because of their high temporal resolution, increased resilience to motion blur, and very sparse output, event cameras have been shown to be ideal for low-latency and low-bandwidth feature ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results