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

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 ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Is your feature request related to a problem? Please describe. I tried to develop a utility function that involves parallel initialization of multiple MCP servers, but figured that it is very tricky ...

A new model based on the famous alien-hunting Drake equation suggests that some parallel universes within the hypothetical "multiverse" could have higher chances of containing extraterrestrial life ...

School of Optoelectronic Science and Engineering & Collaborative Innovation Center of Suzhou Nano Science and Technology, Soochow University, Suzhou 215006, China Key Lab of Advanced Optical ...

Python is convenient and flexible, yet notably slower than other languages for raw computational speed. The Python ecosystem has compensated with tools that make crunching numbers at scale in Python ...