At Rambus, we create cutting-edge semiconductor and IP products, spanning memory and interfaces to security, smart sensors and lighting.
In our previous blog post, we discussed the process of training neural networks (NN) and briefly touched on NN training platforms and related memory bandwidth
Written by Steven Woo Artificial Neural Networks First proposed in 1944 by Warren McCullough and Walter Pitts, an artificial neural network (ANN) or more commonly,
Director of Signal Integrity Engineering at Rambus, Shawn Nikoukary, recently published a piece in eeweb.com/EE Times about crosstalk (xtalk) as being the most challenging signal
Rick Merritt of the EE Times recently reported that Uber is using banks of Nvidia GPUs for deep learning applications. The transportation network company (TNC) is
A recently published IDC white paper calls attention to the growing significance of chip connectivity. Entitled, “Hidden Signals: The Memories and Interfaces Enabling IoT, 5G,
JEDEC recently updated its JESD235 High Bandwidth Memory (HBM) DRAM standard. As we’ve previously discussed on Rambus Press, HBM DRAM supports a wide range of
