Automation Versus Human Touch: Finding The Right Balance In E-Commerce Logistics Management

Data-Driven Decisions: The well-known “data-driven decisions” approach comes into play with alerts and hard data that make it ...
EurekAlert!

Expert consensus outlines a standardized framework to evaluate clinical large language models

Large language models (LLMs) play a key role in advancing intelligent healthcare. While LLMs are increasingly applied in ...

Are AI agents ready for the workplace? A new benchmark raises doubts

New research looks at how leading AI models hold up doing actual white-collar work tasks, drawn from consulting, investment banking, and law. Most models failed.
Ophthalmology Advisor

Foundation Models Fail to Match Experts in Ophthalmic Imaging Interpretation

Current foundation models outperform trainees on text questions but struggle with multimodal ophthalmic imaging ...
Psychiatry Advisor

Accuracy of Machine Learning in Predicting CVD Risk in Bipolar Disease

Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
Ophthalmology Advisor

ChatGPT Update May Identify Glaucoma From Clinical Images

The ChatGPT o1 Pro can accurately identify glaucoma from visual field and optical coherence tomography data, a study shows.
IEEE

A Hybrid CNN-Logistic Regression Model for Accurate Classification of Casting Defects

Abstract: The abstract is an imperfect defect detection model meant to classify various defects of castings. It presents an excellent precision, recall, and $\mathbf{F 1}$-score of six classes of ...
GitHub

This is a beginner data analytics project with model building.

There was an error while loading. Please reload this page. This project applies Logistic Regression to predict whether a passenger aboard the Titanic survived. It ...
Live Science

Scientists just developed a new AI modeled on the human brain — it's outperforming LLMs like ChatGPT at reasoning tasks

The hierarchical reasoning model (HRM) system is modeled on the way the human brain processes complex information, and it outperformed leading LLMs in a notoriously hard-to-beat benchmark. When you ...
Scientific Research Publishing

Rahimloo, P. and Jafarian, A. (2016) Prediction of Diabetes by Using Artificial Neural Network, Logistic Regression Statistical Model and Combination of Them.

ABSTRACT: This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper ...
EurekAlert!

New few-shot learning model enhances crop disease recognition accuracy

Plant disease recognition technologies have advanced rapidly thanks to deep learning and large annotated datasets, but agricultural applications face unique hurdles. Data collection in the field is ...