eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
How-To Geek on MSN

Stop crashing your Python scripts: How Zarr handles massive arrays

Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.
Newsd

AI in Portfolio Management: From Human Judgment to Quantitative Systems

Artificial intelligence is changing the way portfolios are built and managed. For a long time, investors relied mainly on ...
XDA Developers on MSN

5 things the Raspberry Pi does better than any other computer

Here are a few ways the Raspberry Pi outperforms desktops and laptops, from tiny power draw to safe sandboxes for ambitious ...
IEEE

Cluster-Based Machine Learning-Driven Routing for UAV Networks in 6G Environment

Abstract: The sixth generation (6G) wireless networks are envisioned to deliver ultra-low latency, massive connectivity, and high data rates, enabling advanced applications such as autonomous unmaned ...
Scientific Research Publishing

Early Alzheimer’s Disease Detection from Short Speech Samples Using Lightweight, Interpretable Linguistic Markers ()

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
IEEE

Fitting Multiple Machine Learning Models With Performance Based Clustering

Abstract: Traditional machine learning approaches assume that data comes from a single generating mechanism, which may not hold for most real life data. In these cases, the single mechanism assumption ...