Ensemble of hybrid model based technique for early detecting of depression based on SVM and neural networks  Nature.comRead More

Machine Learning Meets Nanotech: Caltech’s Breakthrough in Mass Spectrometry  SciTechDailyRead More

Detecting command injection attacks in web applications based on novel deep learning methods  Nature.comRead More

Turning Weak Signals into Strong Predictions  The University of Chicago Booth School of BusinessRead More

1st Edge: $35.8 Million AI/ML Contract Secured With US Army  Pulse 2.0Read More

Unlocking the power of data science and analytics to elevate athletic performance  The Financial ExpressRead More

Groundbreaking Machine Learning Model Achieves 97.97% Accuracy in Earthquake Prediction for Los Angeles  GlobeNewswireRead More

Reducing False Positives in API Security: Advanced Techniques Using Machine Learning  Security BoulevardRead More

FedPart: A New AI Technique for Enhancing Federated Learning Efficiency through Partial Network Updates and Layer Selection Strategies  MarkTechPostRead More

New machine learning model quickly and accurately predicts dielectric function  Phys.orgRead More