OCT-A angiography can help reveal early neurodegenerative disease signs, offering a non-invasive method for identifying ...

AEquity aims to improve training for healthcare machine-learning algorithms by assessing the accuracy and fairness of the data they're fed.

Machine learning (ML) has rapidly become one of the most influential technologies across industries, from healthcare and ...

Overview The best laptops for data science need strong GPUs, high RAM, and fast storage.Laptops for machine learning should ...

The ADB–Cornell study finds that machine learning poverty maps often misfire, overestimating welfare in poor, rural, ...

Claim.co.uk earned a 2025 Global Recognition Award for developing an AI-driven solution that quickly detects housing ...

Claim.co.uk received a 2025 Global Recognition Award for developing artificial intelligence software that identifies property ...

As we stand on the brink of technological evolution, our capacity to delve deeper into the cosmic abyss is escalating. The ...

In the domain of hyperspectral image (HSI) classification, the majority of deep learning methods have necessitated a substantial number of manually annotated samples to achieve outstanding results.

The application of computational techniques can decipher palimpsests: manuscripts where the original text was removed to make ...

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases ...