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

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 ...

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

SAN FRANCISCO, Sept. 09, 2025 (GLOBE NEWSWIRE) -- Today, MLCommons ® announced new results for its industry-standard MLPerf ® Inference v5.1 benchmark suite, tracking the relentless forward momentum ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...

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 ...

Bloomberg contributes back to academia whenever we can by attending and speaking at conferences in AI, ML, NLP, and IR, handing out the Bloomberg Data Science Research Grant, hosting the Bloomberg ...

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.