Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

In today's data-driven environment, Python has become the mainstream language in the fields of machine learning and data science due to its concise syntax, rich library support, and active community, ...

The programme is designed for aspiring data scientists, AI enthusiasts, technology professionals seeking to upskill.

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...

Indian Institute of Technology Delhi has announced the second batch of its Certificate Programme in Applied Data Science & ...

Six-month programme builds job-ready skills in Python, ML, Deep Learning & MLOps, culminating in real-world capstone and ...

CISPA researcher Sarath Sivaprasad, together with Hui-Po Wang and Mario Fritz from CISPA and other colleagues from HIPS, has ...

Simple patient screening questionnaires addressing five different health-related social needs performed better than advanced machine learning methods at tracking HRSNs ...

In today's machine learning field, deep neural network models are becoming increasingly large and complex, posing significant challenges to traditional electronic computing hardware. To address this ...

ICS are particularly vulnerable because they often rely on legacy systems, lack strong authentication, and cannot tolerate ...

Much of the news coverage framed this possibility as a shock to the AI industry, implying that DeepSeek had discovered a new, ...

Recent advances in high-throughput microbiome profiling have generated expansive data sets that offer unprecedented ...