How Rajesh Mattaparthi Is Using AI To Detect Hidden Faults In Standby Power Generators

Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...

Sembi Introduces AI Test Prioritization for TestRail and Xray

Sembi, the premier SaaS portfolio for testing and security solutions, today announced AI Test Prioritization for its leading ...
Communications of the ACM

Epistemic Parity: Reproducibility as an Evaluation Metric for Differential Privacy

We proposed epistemic parity as a methodology for measuring the utility of differential privacy (DP) synthetic data in ...
IEEE

Machine learning to detect anomalies in web log analysis

Abstract: As the information technology develops rapidly, Web servers are easily to be attacked because of their high value. Therefore, Web security has aroused great concern in both academia and ...
IEEE

Enhancing Dynamic Malware Behavior Analysis Through Novel Windows Events With Machine Learning

Abstract: Malware analysis involves studying harmful software to understand its behavior and find ways to detect and prevent it. As cyberattacks become more advanced, this process becomes increasingly ...
C&EN

Rationalizing Predictions of Isoform-Selective Phosphoinositide 3-Kinase Inhibitors Using MolAnchor Analysis

Department of Life Science Informatics and Data Science, B-IT, LIMES Program Unit Chemical Biology and Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 5/6, ...
PC Gamer

OnlyFans model explains calculus and machine learning on Pornhub because it pays better than YouTube

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PC Gamer

AMD's FSR 4 will use machine learning but requires an RDNA 4 GPU, promises 'a dramatic improvement in terms of performance and quality'

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Journal of Medical Internet Research

Automated Machine Learning Analysis of Patients With Chronic Skin Disease Using a Medical Smartphone App: Retrospective Study

To address this, automated machine learning (AutoML) is a promising tool that can empower health care professionals to enhance the effectiveness of mobile health apps. Objective: We used AutoML to ...
Journal of Medical Internet Research

Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study

Mood Prediction of Patients With Mood Disorders by Machine Learning Using Passive Digital Phenotypes Based on the Circadian Rhythm: Prospective Observational Cohort Study J Med Internet Res 2019;21(4) ...