AI model reads cardiac MRI scans with near expert accuracy

A Penn Medicine–led team has developed a first-of-its-kind artificial intelligence system that interprets cardiac MRI scans with performance approaching expert clinicians. Trained on more than 300,000 ...
Taste The Code on MSN

Oximeter monitor with OLED display using MAX30105 sensor on NodeMCU

In this video, I created a blood oximeter by using the MAX30105 particle sensor to figure out the changes in color of passing ...
Taste The Code on MSN

Time of flight sensor (VL53L0X) pellet level monitor with Arduino Cloud

In this video I'm walking you through the steps I took to make a standalone version of my pellet level monitoring sensor that ...
IEEE

Semi-Supervised Probabilistic Learning Network for Soft Sensor Modeling With Partially Labeled Data

Abstract: Deep probabilistic learning networks have been applied in industrial soft sensors. However, they face significant challenges in latent variable inference, deep learning backend ...
GitHub

Open Send Data Tool for ESC/POS

This is an open-source extended implementation of the EPSON Send Data Tool (or, "senddat") for ESC/POS printers. It is designed to send raw data to printers using the ESC/POS command set. It supports ...
The New York Times

These Tools Say They Can Spot A.I. Fakes. Do They Really Work?

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests and found several strengths and plenty of weaknesses. By Stuart A.
IEEE

Predictive Analytics in Mental Health: Machine Learning Models for Major Depressive Disorder Detection using Sensor Data

Abstract: The recent integration of Machine Learning (ML) and sensor technologies in healthcare, particularly for diagnosing Major Depressive Disorder (MDD), has paved the way for advanced predictive ...