Neel Somani Investigates How Artificial Intelligence May Help Verify Mathematical Research

Erdos, explores what researchers call autoformalization, the process of converting traditional mathematical proofs into formats machines can verify using tools such as Lean and Coq.
Analytics Insight

Best Statsmodels Certifications and Courses for 2026

Statsmodels helps analyze data using Python, especially for statistics, regression, and forecasting.The best Statsmodels courses in 2026 fo ...
IEEE

Epileptic Seizure Detection in Rodent iEEG using Machine Learning: A Comparative Study of Random Forest, SVM, and Gradient Boosting Models

Abstract: Epilepsy is a neurological condition because seizures occur at random and thus patients require automated and accurate detection mechanisms. The study design employs an evaluation of ...
Frontiers

Machine Learning and AI-Driven Biomechanics in Orthopedic Surgery

Rapid advances in artificial intelligence, machine learning, and data-driven computational modeling have opened unprecedented opportunities to transform ...
Nature

AI can write genomes — how long until it creates synthetic life?

The Evo2 genomic language model can generate short genome sequences, but scientists say further advances are needed to write ...
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 ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
IEEE

Classification of Music Genres based on Machine Learning SVM and CNN

Abstract: This study aims to compare the performance of two classification methods—Support Vector Machine (SVM) and Convolutional Neural Network (CNN)—in identifying music genres based on audio data ...