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 ...
Scientists at NYU Abu Dhabi (NYUAD) have developed an artificial intelligence (AI) model that can forecast solar wind speeds up to four days in advance, significantly more accurately than current ...
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 ...
"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.
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 ...
A system that generates images by inducing random fluctuations in a laser beam could slash energy use compared with standard ...
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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