The Blood-Horse

Chelsey Flower Stakes: Deep Learning

Sire: CAIRO PRINCE, gr/ro, 2011. Raced 2 yrs, 5 sts, 3 wins, $562,000. Won Holy Bull S (G2), Nashua S (G2); 2nd Remsen S (G2). Lifetime: 8 crops, 788 foals, 634 rnrs (80%), 449 wnrs (57%), 140 2yo ...
GitHub

Fara-7B: An Efficient Agentic Model for Computer Use

Fara-7B is Microsoft's first agentic small language model (SLM) designed specifically for computer use. With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that ...
IEEE

Neural-XGBoost: A Hybrid Approach for Disaster Prediction and Management Using Machine Learning

Abstract: Effective disaster prediction is essential for disaster management and mitigation. This study addresses a multi-classification problem and proposes the Neural-XGBoost disaster prediction ...
psypost.org

Scientists use machine learning to control specific brain circuits

A team of researchers in Japan has developed an artificial intelligence tool called YORU that can identify specific animal behaviors in real time and immediately interact with the animals’ brain ...
IEEE

Comparative Analysis of Machine Learning and Deep Learning Models for Land Use ...

Abstract: The UC Merced (UCM) land use dataset is a widely adopted benchmark for evaluating aerial image classification algorithms. This paper presents a comparative performance analysis of prominent ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...