The Stochastic Information Processing Group (SIP) ( http://sip.unige.ch ), University of Geneva, Switzerland, has two open PhD positions in machine learning in the scope of Swiss Synergia Project ...

Meta is creating a new applied AI engineering organization to accelerate its superintelligence strategy and scale AI model development.

Python in Excel is a game-changer ...

Ruby is an incredibly easy language to learn, and there's a lot of evidence why it is simple to break into and start.

Andre Bianchi and Sophia Perez’s dashboard reveals historical trends and recurring themes in fight songs, which earned them a spot at the Big Ten Academic Alliance Data Viz Championship.

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Error logs and GitHub pull requests hint at GPT-5.4 quietly rolling out in Codex, signaling faster iteration cycles and continuous AI model deployment.

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

Abstract: This paper focuses on optimizing machine learning-based time-series forecasting models by constructing compact data. Methods for optimizing ML training have been improved and integrated into ...

Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...