Benchmark of 1.4 million checked protein structures could sharpen AI predictions

University of Missouri researchers have released the world's largest collection of protein models with quality assessment—a groundbreaking new resource that could accelerate drug development for ...
TMCnet

Data Normalization vs. Standardization: What's the Difference and When to Use Each

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and data preprocessing. If you''ve ever built a predictive model, worked on a ...

Machine learning algorithm fully reconstructs LHC particle collisions

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Inside PCL’s push to bring order to industrial project data

One example involved a system built by a summer intern for his own project work. The tool geolocates devices within a drawing set and links them to a digital twin of the facility. Instead of searching ...
Chromatography Online

AI/ML in Practice: Emery Bosten Explores Assisted Active Learning (AAL)

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...
IEEE

Application of Machine Learning Algorithms for Cybersecurity: Detection and Classification of Malware, DDoS, and Phishing Attacks

Abstract: Cybersecurity has become a critical aspect of safe-guarding personal, organizational, and national infrastructures in the past years. The ever-evolving nature of cyber threats, including ...
IEEE

Application of Evolutionary Algorithms to Enhance the Efficiency of Neural Networks and Machine Learning Algorithms

Abstract: This study examines approaches to hyperparameter optimization in machine learning and deep learning systems using genetic algorithms. Today, the success of neural networks and machine ...