A data-driven environmental planning framework strengthens climate governance through quality control standards, interdisciplinary expertise, and predictive emission modeling. By integrating ...

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

This project introduces a diffusion-based framework for symbolic regression, a task traditionally dominated by genetic programming and transformer models. We explore three distinct modeling approaches ...

CMS plans to open applications in 2026 for a new payment model aimed at increasing access to technology-supported care for people with Original Medicare who are managing chronic conditions. Here are ...

Background: Non-alcoholic fatty liver disease (NAFLD) is increasingly prevalent among adolescents and poses a significant public health challenge. Due to limitations in imaging and invasive diagnostic ...

The aim of this non-interventional, case–control pilot study was to identify factors associated with cognitive impairment, dementia, and Alzheimer’s disease (AD) using a real-world dataset from ...

Abstract: Earth observation (EO) data encompass a vast range of remotely sensed information, featuring multisensor and multitemporal data, playing an indispensable role in understanding our planet’s ...

The power of AI models has long been correlated with their size, with models growing to hundreds of billions or trillions of parameters. But very large models come with obvious trade-offs for ...

Every couple of months, it feels like there's an announcement about the next frontier of LLMs and how we're inches away from artificial general intelligence (AGI). However, what strikes me is that ...