Unveiling schizophrenia's neural and mental signatures with machine learning

Schizophrenia is a severe and often highly debilitating psychiatric disorder characterized by distorted emotions, thinking patterns and altered perceptions of reality, as well as mental impairments.
Scientific Research Publishing

AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines ()

(2026) AI Assisted Material Selection Framework for Corrosion Resistant Steels in Onshore Oil and Gas Pipelines. Open Journal ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
IEEE

Intelligent Human Gait Phase Classification Using Machine Learning Models

Abstract: Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing ...
The Brighterside of News on MSNOpinion

Machine-learning analysis reclassifies armed conflicts into three new archetypes

There is often no straightforward explanation for the various types of violence that occur around the world. In fact, even ...
Oneindia

The Governance Layer GenAI Cannot Outrun: Ensuring Evidence And Accountability

Explore how effective governance in AI programmes hinges on engineering evidence, control, and accountability at scale for ...
IEEE

Asteroid Orbit Classification with Machine Learning: A Data-Driven Approach

Abstract: Classifying asteroid orbits is crucial for understanding solar system dynamics and improving planetary defense mechanisms. Traditional classification methods, which depend on manual ...