4 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.ET2022★ 1 cited
A Co-design view of Compute in-Memory with Non-Volatile Elements for Neural Networks
Wilfried Haensch, Anand Raghunathan, Kaushik Roy +4
Deep Learning neural networks are pervasive, but traditional computer architectures are reaching the limits of being able to efficiently execute them for the large workloads of tod…
hep-ex2018★ 4 cited
Quantum Sensing for High Energy Physics
Zeeshan Ahmed, Yuri Alexeev, Giorgio Apollinari +113
Report of the first workshop to identify approaches and techniques in the domain of quantum sensing that can be utilized by future High Energy Physics applications to further the s…