Researchers at the University of Tuebingen, working with an international team, have developed an artificial intelligence that designs entirely new, sometimes unusual, experiments in quantum physics ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

A team of UCSF researchers successfully tested several mainstream AI agents for the ability to analyze big data on women's ...

An MCP (Model Context Protocol) server for tracking Claude Code usage costs across all your projects. Built for developers who want to monitor and analyze their AI development costs with precision.

Overview Pandas continues to be a core Python skill in 2026, powering data analysis, cleaning, and engineering workflows ...

Sophelio Introduces the Data Fusion Labeler (dFL) for Multimodal Time-Series Data - The only labeling and harmonization ...

The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

In this tutorial, we build an end-to-end cognitive complexity analysis workflow using complexipy. We start by measuring complexity directly from raw code strings, then scale the same analysis to ...

Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Abstract: This study presents a new technique that integrates LabVIEW and Python to enhance the control of DC motor drives through the utilization of machine learning methods. The objective of our ...