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 ...
"Understanding Large Models for Humanities Students (1.0)" is written by Penny Liang, offering a simplified perspective to ...
Scientists at NYU Abu Dhabi (NYUAD) have developed an artificial intelligence (AI) model that can forecast solar wind speeds ...
Using light as a decoder for a diffusion-based image generator, scientists show that improvements can be made to make AI ...
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AI scaling laws: Universal guide estimates how LLMs will perform based on smaller models in same family
When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...
In the rapid evolution of multimodal large models, the visual module has always been a key cornerstone supporting the entire ...
A team of researchers have developed a domain adaption framework capable of transferring knowledge from solar power plants ...
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 ...
It is beginning to look like that the period spanning from the second half of 2026 through the first half of 2027 is going to ...
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