The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...

Abhijeet Sudhakar develops efficient Mamba model training for machine learning, improving sequence modelling and ...

Researchers used 1 million data points and a machine learning algorithm to estimate groundwater stores with higher resolution than ever before.

In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Automated machine learning can accurately identify two types of benign tumors that develop in the same space within the brain ...

What if traffic could compute? This may sound strange, but researchers at Tohoku University's WPI-AIMR have unveiled a bold ...

Machine learning decodes brain signals for paralysis recovery in just one second using sensors placed on scalp not inside ...

Just as often, though, a stolen screen glance reveals a dismal anti-story, in which an AI model has guessed, in a whole bunch ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published ...