Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models like regression, dec ...

Abstract: Parallel Bayesian optimization is crucial for solving expensive black-box problems, yet batch acquisition strategies remain a challenge. To address this, we propose a novel parallel ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

At Pittcon 2026 in San Antonio, Texas, the LCGC International Awards Session was held on Tuesday, March 10, from 1:30 PM to 4:40 PM. This session, presided by Jerome Workman, Jr., celebrated two ...

An interdisciplinary research team from two working groups at the Center for Synthetic Biology at TU Darmstadt has developed the first RNA-based genetic switch that precisely replicates the logical ...

Researchers engineered the first RNA-based NAND gate in living cells using deep learning and Bayesian optimization, testing ...

Abstract: Comparing the Novel Gaussian Naive Bayes method with Logistic Regression for Hate Speech Prediction with the aim of increasing accuracy. Materials and Methods: This proposed Machine learning ...

LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...