After Deep Learning (DL) regained popularity recently, the Artificial Intelligence (AI) or
Machine Learning (ML) field is undergoing rapid growth concerning research and real-world …

Artificial Intelligence (AI) is revolutionizing many industries and becoming increasingly
ubiquitous in everyday life. To empower children growing up with AI to navigate society's …

Abstract Machine learning and deep learning models are commonly developed using
programming languages such as Python, C++, or R and deployed as web apps delivered …

Deep learning's great success motivates many practitioners and students to learn about this
exciting technology. However, it is often challenging for beginners to take their first step due …

Predicting the function of a protein from its amino acid sequence is a long-standing
challenge in bioinformatics. Traditional approaches use sequence alignment to compare a …

Historically, the pursuit of efficient inference has been one of the driving forces behind the
research into new deep learning architectures and building blocks. Some of the recent …

In recent years, there has been a proliferation of multimedia applications that leverage
machine learning (ML) for interactive experiences. Prototyping ML-based applications is …

Broadening access to both computational and educational resources is critical to diffusing
machine-learning (ML) innovation. However, today, most ML resources and experts are …

While many deep learning (DL)-based networking systems have demonstrated superior
performance, the underlying Deep Neural Networks (DNNs) remain blackboxes and stay …

We propose a lightweight real-time sign language detection model, as we identify the need
for such a case in videoconferencing. We extract optical flow features based on human pose …