Abstract: The increasing integration density of resistive random access memory (RRAM) arrays leads to a consequential rise in the significance of electro-thermal and parasitic effects in crossbar ...
Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...
The number of AI inference chip startups in the world is gross – literally gross, as in a dozen dozens. But there is only one ...
Designers are utilizing an array of programmable or configurable ICs to keep pace with rapidly changing technology and AI.
Abstract: This letter proposes a bidirectional long short-term memory (BiLSTM) network to predict the excitations of antenna arrays for arbitrary radiation patterns. Compared to artificial neural ...
Dec 3 (Reuters) - Memory chipmaker Micron Technology (MU.O), opens new tab said on Wednesday it will exit its consumer business, as it doubles down on advanced memory chips used in artificial ...