AI for games: KRAFTON highlights 'Three Fronts'

Lee Kang-wook, Chief AI Officer (CAIO) at KRAFTON, presented a new agenda for game AI at one of the world's most prestigious ...

This Screaming ‘Square Four’ Engine Was Built Using AI And Scrap Metal

Artificial intelligence and heavy fabrication collide as one creator machines a functional Square Four engine from scrap ...

Birdsong data from Merlin ID app to help global biodiversity project

Cornell Lab for Ornithology plans data linkup between app and population monitoring on eBird platform ...
Tech & Learning

Data Dashboards Aren’t Enough—AI Makes PD Smarter

Peter Youngs of the University of Virginia and Edthena CEO Adam Geller on the future promise of personalized learning for ...
Electronic Design

Five AI-Based SBCs for Edge Computing and Robotics

These new AI-focused SBCs pair multicore processors with integrated NPUs for edge computing, robotics, and embedded ...
GlobalSpec Insights

Nuvoton launches NuML Studio: A simple tool to build and deploy AI on microcontrollers

NuML Studio is optimized for Windows and provides a "ready-to-use" version that does not require users to install Python or ...
Hosted on MSN

3 genius DIY projects using everyday household items!

Discover three innovative DIY projects you can build at home using common household items. Learn how to construct a mini water pump with a DC motor and simple materials, create a basic electric motor ...
IEEE

Optimizing Construction Project Scheduling Using Machine Learning and AI-Based Predictive Analytics for Cost and Time Efficiency

Abstract: The paper examines how Hybrid Machine Learning and Real-Time Data Integration can be used to optimize the construction project schedule using the Google Cloud AI Platform. By using the ...
GitHub

end-to-end-ml-project

AI-powered medical imaging system for multi-disease chest X-ray detection,built with EfficientNet deep learning, a FastAPI backend, and an interactive Streamlit dashboard. Deployed on Render for ...
BMJ Open

Implementation determinants of a planned machine learning-enabled surgical scheduling system in a high-volume orthopaedic centre in Canada: qualitative findin…

Objectives Elective non-emergent surgical wait times have increased across countries such as Canada, straining operating room ...
IEEE

Automatic Assessment of Chinese Dysarthria Using Audio-visual Vowel Graph Attention Network

Abstract: Automatic assessment of dysarthria remains a highly challenging task due to the high heterogeneity in acoustic signals and the limited data. Currently, research on the automatic assessment ...