Machine learning offers growers a new tool for predicting crop water use

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...
The Punch

At the Intersection of AI, Engineering, and Human Learning

Discover Taiwo Feyijimi's work at the crossroads of AI, engineering, and learning. Explore his innovative frameworks shaping ...
IEEE

A Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using Internet of Things-Based Monitoring and Explainable Artificial Intelligence

Abstract: Power transformers are critical components in ensuring the continuous and stable operation of power systems. Failures in these units can lead to significant power outages and costly downtime ...
Le Lézard

MathWorks Showcases AI for Safety-Critical Systems at NeurIPS 2025

NeurIPS 2025, Booth #732 ? MathWorks, the leading developer of mathematical computing software, will showcase how engineers and scientists can use MATLAB® and Simulink® to design, verify, and deploy ...
IEEE

Fault Detection in Photovoltaic Systems Using a Machine Learning Approach

Abstract: Research and development of intelligent fault monitoring in photovoltaic systems are crucial for efficient energy generation. In response to the industry’s demand for innovative solutions to ...
Ars Technica

I’ve already been using a “Steam Machine” for months, and I think it’s great

Valve’s second big foray into first-party PC hardware isn’t a sequel to the much-imitated Steam Deck portable, but rather a desktop computer called the Steam Machine. And while it could go on your ...
GitHub

Bone-Fracture-Line-Detection-System

We have attempted to develop a Fracture Line Detection System using MATLAB and its Image Processing Toolbox. The system aims to assist radiologists by processing X-ray images to automatically ...