Machine learning models trained on light-off data identified Co-CO3 as the most energy-efficient cobalt catalyst for toluene ...

An integrative machine learning analysis of public tissue transcriptomic datasets identified a candidate 30-microRNA ...

Nous Research’s Arete-27B fine-tunes Qwen3.8-27B with 52.8M tokens, cutting propaganda answers from 22% to 0.9% on 803 ...

Instruction tuning uses examples of instructions and desired responses to make a pretrained model more useful, controllable, ...

Discover the Essential AI Skills Biotechnology Students hould learn, from Python and ML to Bioinformatics, Data Analysis and ...

I Wanted to Try Building an LLM MyselfPreviously, I read a book titled "Are Large Language Models a New Form of Intelligence?

IntroductionTo practice and master the machine learning I learned in class, I challenged myself to perform classification ...

Can a free, open-source AI humanizer beat paid tools? We tested a 12B model locally and compared the results against AI ...

AWS made SageMaker AI Training Sessions generally available, letting developers run custom fine-tuning and RL loops while AWS ...

Relational foundation model NVIDIA Kumo Relational beats XGBoost and AutoGluon across 41 benchmark tasks on enterprise databases with no feature engineering or custom training required, applying ...

Constraining policies to select behavior modules allows reinforcement learning transfer from simulation to real robot swarms.

Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn representations at enormous scale without manual labels for every example.