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 ...

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

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 ...

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

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

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

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 ...

A University of Idaho lab received $1.3 million from the Department of Defense to study early detection methods for Post ...

ScyllaDB Vector Search is built on ScyllaDB’s shard-per-core architecture with a Rust-based extension that leverages the USearch approximate-nearest-neighbor (ANN) search library. The architecture ...

Apple has brought Pixelmator Pro to iPad, putting one of the best image editing apps into the Creator Studio bundle with support for Apple Pencil, and seamless syncing across Apple devices.

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...