A comprehensive survey analyzes the dual synergy between domain decomposition methods and scientific machine learning ...
Nous Research’s Arete-27B fine-tunes Qwen3.8-27B with 52.8M tokens, cutting propaganda answers from 22% to 0.9% on 803 ...
A multimodal machine learning nomogram combining clinical, radiomics, and pathomics features improved overall survival risk ...
Instruction tuning uses examples of instructions and desired responses to make a pretrained model more useful, controllable, ...
Car Price Prediction is a Machine Learning project that predicts the selling price of used cars based on different car features. This project uses historical car data to understand the factors that ...
Researchers at the University of Melbourne now track magnetic objects with a diamond quantum sensor and machine learning ...
Last time, I mentioned that machine learning is a method where humans don't write the rules, but instead let the machine find ...
Engineering economical and scalable processes for direct air capture (DAC) from humid air relies on atomistic modeling to search and identify promising sorbent materials from a va ...
How ML secures blockchain payments with fraud detection, AML analytics, risk scoring, and real-time transaction monitoring.
I think there are quite a few people who make games but have never really touched machine learning.At first, I also had a strong impression that machine learning was something used for things like ...
The European Laboratory for Learning and Intelligent Systems (ELLIS) has opened applications for its 2026 PhD recruitment round, offering outstanding candidates opportunities to pursue doctoral ...
A semi-supervised machine learning approach can cut the expert-labeling burden for beluga whale aerial surveys by five to ten times — and still outperform supervised baselines — according to a new ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results