Anmol Agarwal Honored with 2025 Global Recognition Award for Leadership in AI-Driven Cybersecurity and Mentorship

Anmol Agarwal, senior security researcher at Nokia and adjunct professor, advances AI-driven cybersecurity for 5G and 6G ...
CIO Applications

An In-Depth Exploration of Machine Learning Benefits

The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...
The Conversation

Machines whisper before they scream: we built an AI model that predicts expensive problems

Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...
Frontiers

Machine learning technique for the identification of two-phase (oil-water) flow patterns through pipelines

1 School of Mechanical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia 2 Industrial Multiphase Flow Laboratory (LEMI), Mechanical Engineering Department, São Carlos School of ...
Forbes

Using AI Both Helps And Hinders Cybersecurity

Forbes contributors publish independent expert analyses and insights. Justin is founder and principal analyst at PivotNine. The use of generative AI in a cybersecurity context is providing examples of ...
Medicine Buffalo

Key to spotting dyslexia early could be AI-powered handwriting analysis

A new UB-led study outlines how artificial intelligence-powered handwriting analysis may serve as an early detection tool for dyslexia and dysgraphia among young children. The work, presented in the ...
bjo.bmj

Machine-learning algorithms for the identification of visual field loss associated with the antiseizure medication vigabatrin—a proof of concept

Background/aims The antiseizure medication, vigabatrin, is associated with visual field loss (VAVFL). However, the fields can be challenging to interpret due to unfamiliarity with the characteristics ...
IEEE

A Novel Framework for Saraiki Script Recognition Using Advanced Machine Learning Models (YOLOv8 and CNN)

Abstract: In recent years, a lot of local languages require careful consideration in terms of knowledge exchange. Each language creates a sophisticated understanding system that allows users to ...
Scientific Research Publishing

Erfani, S.M., Rajasegarar, S., Karunasekera, S. and Leckie, C. (2016) High-Dimensional and Large-Scale Anomaly Detection Using a Linear One-Class SVM with Deep Learning ...

ABSTRACT: Industrial appearance anomaly detection (AD) focuses on accurately identifying and locating abnormal regions in images. However, due to issues such as scarce abnormal samples, complex ...
BMJ

Sex bias consideration in healthcare machine-learning research: a systematic review in rheumatoid arthritis

Objective To assess the acknowledgement and mitigation of sex bias within studies using supervised machine learning (ML) for improving clinical outcomes in rheumatoid arthritis (RA). Design A ...