Validating AI is increasingly getting societal attention. AI safety has been a low priority. No more. I explore validation as ...

While artificial intelligence (AI)-powered screening has been validated for diabetic retinopathy, applying the technology to glaucoma has proved more challenging because glaucoma is not one disease. A ...

Machine learning, a branch of artificial intelligence, allows a computer to teach itself how to solve problems by analyzing ...

Cyber attacks are growing smarter and faster. Hackers use advanced techniques to target businesses of all sizes. Traditional defenses often struggle to keep up, leaving networks and data at risk. […] ...

During the COVID-19 pandemic, AI-assisted sequencing pipelines were instrumental in tracking SARS-CoV-2 variants, ...

CCI AI markets study warns of price collusion as AI algorithms automatically align prices and coordinate behaviours like ...

As the world becomes more interconnected, some plants have benefited from a greater ease in movement from one region to ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...

You’ll see how to apply mathematical optimization algorithms that often prove superior to local optimization methods favored by typical machine learning applications and discuss why these methods can ...

A key area of practice management and sustainability initiatives is ensuring that waste is reduced whenever possible. In a ...