Complex materials such as organic semiconductors or the microporous metal-organic frameworks known as MOFs are already being ...

Data privacy in machine learning has become a pressing concern in today’s AI-driven world. The article by Ramachandra Vamsi ...

Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried ...

Successful test results of a new machine learning (ML) technique developed at Georgia Tech could help communities prepare for ...

Scientists have recently detailed how automation and machine learning can aid clinicians treating patients with spreading depolarizations, sometimes referred to as 'brain tsunamis.' ...

Machine learning may help identify biomarkers and develop predictive models that could assist in the diagnosis of metabolic ...

While artificial intelligence tools continue to grow more effective, cybercriminals use the same capabilities to accomplish ...

Data from microplastic analyses can inform health recommendations and policy decisions. Machine learning is one tool ...

About 100 million metric tons of high-density polyethylene (HDPE), one of the world's most commonly used plastics, are ...

This article is sponsored by ActiveDEMAND. It is based on a discussion with Sean Leonard, CEO and Founder of ActiveDEMAND.

Artificial intelligence and machine learning are no longer abstract concepts confined to academic discussions but stand at ...

Machine Learning is fast changing mobile app development, particularly in the Android ecosystem, which powers more than 70% of smartphones worldwide as of 2024. With its capability to learn from data, ...