Overview NumPy and Pandas form the core of data science workflows. Matplotlib and Seaborn allow users to turn raw data into clear and simple charts, making it e ...

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of MRI images through deep learning is important for early treatment and ...

Why Unstructured, Feedzai, Synchron, and Chalk are among Fast Company’s Most Innovative Companies in data science for 2026. AI innovations have long promised productivity at scale, powered by ...

As hundreds of vendors descend on San Francisco for the RSAC 2026 Conference, the sheer volume of news can be overwhelming. To help you navigate the noise, SecurityWeek is providing a daily digest of ...

At QCon London 2026, Suhail Patel, a principal engineer at Monzo who leads the bank’s platform group, described how the bank ...

An innovative open-source AI engine uses swarm intelligence and thousands of digital agents to accurately predict market trends and public opinion.

The project is described by its creators as a universal swarm-intelligence engine designed to run large-scale simulations in order to explore possible future scenarios. Instead of relying on a single ...

Database engineer Sai Vamsi Kiran Gummadi is advancing real-time fraud detection in finance using machine learning and bi ...

Abstract: Graph Neural Networks (GNNs) have emerged as a fundamental class of models for analyzing graph-structured data, with broad applications spanning social networks, computational neuroscience, ...

Abstract: In this paper, we prove Contra Harmonic Mean Labeling for some star related graphs such as $\mathrm{K}_{1, \mathrm{n}}, S(\mathrm{K}_{1, \mathrm{n ...

Melty Molecule is a molecular property prediction system that leverages graph neural networks to predict melting points of chemical compounds. The model uses a hybrid architecture combining Principal ...

ABSTRACT: Foot-and-Mouth Disease (FMD) remains a critical threat to global livestock industries, causing severe economic losses and trade restrictions. This paper proposes a novel application of ...