Hardware-based neural networks (NNs) can provide a significant breakthrough in artificial
intelligence applications due to their ability to extract features from unstructured data and …

In this work, a heterogeneous integration strategy of 3D NAND based compute-in-memory
(CIM) architecture is proposed for large-scale deep neural networks (DNNs). While most of …

Different from the deep neural network (DNN) inference process, the training process
produces a huge amount of intermediate data to compute the new weights of the network …

The crossbar structure of the nonvolatile memory enables highly parallel and energy-
efficient analog matrix-vector-multiply (MVM) operations. To exploit its efficiency, existing …

Due to its ultrahigh density and commercially matured fabrication technology, 3-D NAND
flash memory has been proposed as an attractive candidate of inference engine for deep …

3D NAND Flash has been proposed and investigated as a memory device candidate for the
energy-efficient and ultra-high density compute-inmemory system. To achieve the …

Spectra open modification search (OMS) is the critical step in mass spectrometry (MS)
analysis and proteomics to identify peptides underlying protein samples. However, large …

The number of smart devices for the Internet of Things (IoT) is rapidly growing, and by 2025
almost 80 ZB of data per year will be generated by IoT devices alone, challenging the …

Noise injection procedures implemented on the die of a non-volatile memory (NVM) array
are disclosed. In one example, noise is injected into data by adjusting read voltages to …

Latch-based methods and apparatus for performing neural network weight parity detection
on the die of a non-volatile memory (NVM) array to detect bit flip errors within neural network …