2026 Data Scientist to Machine Learning Engineer Career Transition Guide Released – Build Production AI Systems by Interview Kickstart

Interview Kickstart Releases In-Depth Career Transitions Guide on Moving from Data Scientist to Machine Learning Engineer as ...

OpenAI shrinks GPT-5.4 for speed and lower costs

OpenAI’s GPT-5.4 mini and nano models cut costs and latency while staying close to flagship performance, giving developers faster AI options for real-time apps without sacrificing core capabilities.
Mid-Day

When Microseconds Decide Millions, Some Researchers Are Turning to Quantum Physics

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
GitHub

Question about BCICIV 2a Dataset Preprocessing - Total Valid Samples (5088 vs 5184)

When preprocessing the BCICIV 2a motor imagery (MI) dataset, we noticed a discrepancy between the theoretical total number of trials and the valid samples used in the paper: Theoretical total trials: ...
IEEE

Impact of Data Preprocessing on Machine Learning Classification Metrics

Abstract: Data preparation is essential for boosting machine learning model's performance by increasing data quality and lowering noise. This study evaluates the impact of preprocessing on key ...
IEEE

Classifying Fake News with a Large-Scale Dataset Using Machine Learning Approaches

Abstract: In an era where the vast influx of content increasingly compromises the authenticity of information, identifying false information has emerged as a pressing concern. This research addresses ...
Scientific Research Publishing

Razavi, M., Ziyadidegan, S., Jahromi, R., et al. (2023) Machine Learning, Deep Learning and Data Preprocessing Techniques for Detection, Prediction, and Monitoring of Stress ...

ABSTRACT: Mood disorders—particularly bipolar spectrum conditions—pose enduring diagnostic and therapeutic challenges due to their episodic nature, heterogeneous presentations, and reliance on ...