Machine Learning Enables Detection of Defects in Additive Manufacturing – Metrology and Quality News
New Method Developed for Detecting Defects in Additively Manufactured Components
Researchers at the University of Illinois have made a groundbreaking discovery in the field of additive manufacturing. They have developed a new...
Using neural networks to remove noise from x-ray images
Training Neural Networks to Remove Noise in High-Energy-Density X-Ray Images
Researchers have made a breakthrough in the field of high-energy-density x-ray imaging, with the development of a neural network that can effectively...
Google Researchers Introduce a Formal Boosting Machine Learning Algorithm for Loss Functions with Zero...
Boosting in Zeroth-Order Optimization: A Formal Technique for Loss Functions with Discontinuities
The latest research paper on boosting and zeroth-order optimization has caught the attention of tech enthusiasts and machine learning experts...
The Future of AI: Exploring Quantum Machine Learning
Exploring the Future of Artificial Intelligence with Quantum Machine Learning
Artificial intelligence has become an integral part of our daily lives, from Netflix recommendations to smartphone applications like Siri. However, a new...
Using machine learning to model the characteristics of scour holes under turbulent wall jets
Analysis of Wall Jet Scouring Parameters Using Multiple Regression and Soft Computing Techniques
Title: Advanced Analysis Techniques for Wall Jet Scouring Study
In a recent study on wall jet scouring, researchers have utilized...
Creating Guidelines to Optimize the Potential of Artificial Intelligence
Revolutionizing Materials Science: The Role of Data Standards and OPTIMADE
Materials science is changing rapidly with the rise of artificial intelligence (AI) and machine learning (ML). These tools are revolutionizing how we...
Enhancing Large Language Models with Active Inheritance: Improving Performance and Reducing Bias through Cohere...
Active Inheritance: Enhancing Large Language Models with Synthetic Data Generation
This engaging news story discusses the growing importance of synthetic data generation in machine learning and the challenges and opportunities it presents....
Interview Kickstart Launches Best ML Engineer Course for Data Scientists
Interview Kickstart Launches New ML Course for Engineers Transitioning into AI and ML Roles
Interview Kickstart Launches New Machine Learning Course for Engineers
Santa Clara, July 02, 2024 (GLOBE NEWSWIRE) -- Interview Kickstart,...
Improving Predictability of Complex Multi-Scale Systems Properties Using Physics-Encoded Neural Networks
Understanding the Shear Rate-Dependent Viscosity of Complex Dispersions: A Focus on the Quemada Model and Neural Networks
Researchers have developed a new model, known as the Quemada model, to describe the viscosity...
Using AI to Ask Birds: What Makes a Good Tree?
Revolutionizing Habitat Design: Using AI to Create Artificial Structures for Birds and Trees
Artificial structures designed with the help of AI and machine learning are being used to mimic the features of...