Science News

AI models spot deepfake images, but people catch fake videos

A new study finds that humans and AI spot different kinds of deepfakes — hinting at the need to team up to fight them.
IEEE

Machine Learning Techniques to Improve the Cognitive Workload Classification Using Multimodal Sensors’ Data

Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
Proceedings of the National Academy of Sciences (PNAS)

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...
GitHub

Sales Pipeline Prediction API

This repository contains a production-ready Machine Learning API built with FastAPI for predicting the outcome (WIN or LOST) of deals in a sales pipeline. The core artifact is a pre-trained XGBoost ...
GitHub

goelkartik66-boop/milestone2-image-classification

This project implements an image classification model that distinguishes between two shape types (circles and squares) using machine learning and deploys it as a local Flask API. milestone 2/ ├── data ...
marktechpost

An Intelligent Conversational Machine Learning Pipeline Integrating LangChain Agents and XGBoost for Automated Data Science Workflows

In this tutorial, we combine the analytical power of XGBoost with the conversational intelligence of LangChain. We build an end-to-end pipeline that can generate synthetic datasets, train an XGBoost ...
IEEE

A Novel Thermal Image-Based Metal Classification System Using Machine Learning Algorithms

Abstract: Classifying metals is an essential task in all industries to make sure the materials used in the processes are safe and meet the required standards all while enhancing operational and cost ...
Frontiers

Machine learning pipeline for microparticle size classification in self-mixing interferometric signals for flow cytometry

Self-mixing interferometry (SMI) is an emerging optical sensing technique for detecting and classifying microparticles in non-contact and label-free flowmetry applications. High precision and ...