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 ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

EEG-based machine learning predicted SSRI treatment response in depression with high accuracy. Learn how brain signals could ...

Artificial intelligence (AI) can be trained to see details in images that escape the human eye. In 2023, an AI neural network ...

Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a ...

Some kids plan to kill. Can we discover who they are before they do? A program that combines neural and clinical data via ...

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall accuracy across long time series. This design inherently favors common, low ...

Cornell appointed Prof. Thorsten Joachims, computer science and information science, to be the first vice provost for ...

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 ...