"Understanding Large Models for Humanities Students (1.0)" is written by Penny Liang, offering a simplified perspective to ...

MAE, a self-supervised learning framework designed to automate 3D segmentation of plant organs from point cloud data.

Today, MLCommons announced new results for its MLPerf Inference v5.1 benchmark suite, tracking the momentum of the AI ...

Seq2Seq is essentially an abstract deion of a class of problems, rather than a specific model architecture, just as the "classification problem" describes the mapping from inputs to category labels, ...

Rotary encoders are electromechanical transducers that convert angular displacement into corresponding electrical signals ...

Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Researchers at VCU Massey Comprehensive Cancer Center have developed a new computational tool called Vesalius, which could help clinicians understand the complex relationships between cancer cells and ...

While public nuisance is one reason, messed up rooms, and living rooms can be another. So if you want to have something which hides out all this in a subtle way, then background blur is the way to go.