Overview:Practical projects can help you showcase technical skill, programming knowledge, and business awareness during the hiring process.Designing end-to-end ...

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

When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Generative AI is a type of artificial intelligence designed to create new content by learning patterns from existing data.

AI is searching particle colliders for the unexpected ...

We retrospectively enrolled 115 primary RPS patients (2013–2024), splitting into training (N = 86) and validation (N = 29) sets. An end-to-end DL model was designed to forecast LRFS using ...

Using mathematics in deep learning helps us understand which types of problems are most appropriate for ANNs, how to best structure the networks, how long they should train and can generally help ...

The rapid identification of environmentally sustainable refrigerants is essential to meet global climate targets and comply with international mandates such as the Kigali Amendment. This study ...

Predictive maintenance combines data science and IoT to prevent equipment failures before they occur. In this talk, I’ll demonstrate how machine learning models can analyse sensor data from industrial ...