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

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 ...

Ruby Box is an experimental feature that provides separate spaces in a Ruby process to isolate application code, libraries, and monkey patches.

This valuable study identifies a novel regulator of stress-induced gene quiescence in C. elegans: the multi-Zinc-finger protein ZNF-236. The work provides evidence for an active mechanism that ...

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Abstract: Most near-field (NF) localization algorithms cannot deal with the underdetermined case, while those which can are computationally expensive due to employment of fourth-order cumulants. In ...

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 ...