Inquiry-based biomimicry course inspires students to design solutions by learning from nature

Research and innovation in Texas A&M University's biomedical engineering department often centers around clinical impact on ...
Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...
Tech Xplore

Compression technique makes AI models leaner and faster while they're still learning

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

A smarter way to build vaccines: Scientists harness AI to target emerging alphaviruses

A team of scientists at The University of Texas Medical Branch (UTMB), led by Nikos Vasilakis, Ph.D., and Peter McCaffrey, MD ...
Onrec

5 Artificial Intelligence Programs for Professionals Selecting the Right Track Across GenAI, Machine Learning, and Data Science in 2026

In 2026, choosing an AI track is mostly a decision about outcomes. GenAI programs help you ship faster workflows and software ...
IEEE

Hybrid and Ensemble Machine Learning Models for Effective Imbalanced Data Classification

Abstract: This study explores the effectiveness of advanced machine learning models in addressing classification challenges within imbalanced datasets. In this paper, two models are developed, ...
Mirage News

Building Blocks Of Life

Billions of years ago, simple organic molecules drifted across Earth's primordial landscape - nothing more than basic ...

A new wave of AI schools is balancing life skills and machine-led learning — for as little as two hours a day

Parents worry about AI’s impact. But no one — educator or parent — is sure what to do about it yet,” said Emily Glickman, a private school consultant about the growing wave of AI ...
IEEE

Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer

Abstract: Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. This study presents a comparative analysis of machine learning ...
Journal of Medical Internet Research

Explainable Machine Learning Model for Predicting Persistent Sepsis-Associated Acute Kidney Injury: Development and Validation Study

Early identification and prediction of persistent SA-AKI are crucial. Objective: The aim of this study was to develop and validate an interpretable machine learning (ML) model that predicts persistent ...