The Washington Institute for STEM, Entrepreneurship and Research (WISER) and the Fraunhofer Institute for Industrial Mathematics ITWM have successfully completed a joint research project as part of ...

Summary: A new study has identified dopamine dysfunction as a previously unrecognized driver of memory loss in Alzheimer’s disease. Focusing on the entorhinal cortex, the brain’s gateway to memory ...

Scientists use machine learning and SPERRFY to decode the genetic wiring map that guides neural connections across the entire ...

Read more about Agentic AI red teaming could become essential for securing future AI systems: Here's why on Devdiscourse ...

Abstract: Categorical variables are a common feature in real-world datasets; however, most machine learning algorithms require numerical inputs. The method used to convert these categorical features ...

ABSTRACT: This paper proposes a hybrid machine learning framework for early diabetes prediction tailored to Sierra Leone, where locally representative datasets are scarce. The framework integrates ...

Traditional QSRR models are limited to single-column predictions, hindering adaptability across diverse LC setups in pharmaceutical settings. The new ML-based approach predicts retention times using ...

ABSTRACT: Artificial deep neural networks (ADNNs) have become a cornerstone of modern machine learning, but they are not immune to challenges. One of the most significant problems plaguing ADNNs is ...

A U.S. Postal Service employee died after he became stuck inside a mail handling machine at a distribution center in Allen Park, Michigan, according to officials. Nicholas John Acker, 36, was stuck in ...

Uncovering complex disease patterns from large-scale, heterogeneous health data remains a significant challenge. Traditional statistical methods and conventional machine learning algorithms often ...