Machine Learning Trends For 2026

ML is poised to become faster and more accessible by 2026. Simply having the support of GenAI already gives it an advantage over other AI-based solutions.
Frontiers

Data-Driven Approaches for Sustainable Geoscience: Machine Learning in Mineral Resources, Water Management, and Environmental Resilience

Machine learning has rapidly become integral to the advancement of geoscience, a field inundated with complex and multivariate data from myriad sources such ...
Science News

Machine learning streamlines the complexities of making better proteins

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

Azul 2026 State of Java Survey & Report: 62% of Enterprises Now Leverage Java to Power AI Functionality, 41% Rely on High-Performance Java Platforms to Reduce Cloud Compute Costs

Azul, the only company 100% focused on Java, today announced the results of its 2026 State of Java Survey & Report. The annual study, based on responses from more than 2,000 Java professionals ...
IEEE

Carbon Emission Quantification of Machine Learning: A Review

Abstract: The rapid growth of machine learning (ML) technologies has raised significant concerns about their environmental impact, particularly regarding energy consumption and carbon emissions. This ...
IEEE

Machine Learning and Deep Learning Approaches for Fake News Detection: A Systematic Review of Techniques, Challenges, and Advancements

Abstract: In response to the escalating threat of fake news on social media, this systematic literature review analyzes the recent advancements in machine learning and deep learning approaches for ...