Researchers from UCLA and Meta AI have introduced d1, a novel framework using reinforcement learning (RL) to significantly enhance the reasoning capabilities of diffusion-based large language models ...

After uncovering a unifying algorithm that links more than 20 common machine-learning approaches, MIT researchers organized ...

Ethakota, J. , Singh, B. , Bai, S. , Tareen, H. , Kumar, D. and Malik, D. (2025) The Role of Artificial Intelligence in ...

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field ...

It can be relatively cheap to gather a lot of bio-signal data. To teach a machine-learning algorithm to find a relationship between bio-signals and health outcomes, however, you need to teach the ...

简介：Google家在SimCLR自监督对比学习（contrastive learning）的loss结构基础上，延伸到有监督学习中 ...

Applications: Used for classification, regression, and feature learning tasks. Analysis of Large Datasets: Deep learning algorithms can efficiently process and analyze large datasets, which is ...