This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Abstract: Multiple parallel sparse linear arrays (MPSLAs) can be strategically deployed in two-dimensional (2D) or three-dimensional (3D) space, offering a unique advantage by enabling easy conformal ...

This code is inspired by Cache-friendly, Parallel, and Samplesort-based Constructor for Suffix Arrays and LCP Arrays. We copied many ideas from the original C++ implementation CaPS-SA, most notably ...

This Python project scans Ethereum wallets, checks their balances, and transfers funds from wallets that meet a specified balance threshold to another wallet. It uses multithreading to scan and ...

Abstract: Computing-In-Memory (CIM) is widely applied in neural networks due to its unique capability to perform multiply-and-accumulate operations within a circuit array. This process directly ...