This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

The earliest stage of drug discovery is governed by a simple constraint: there are far more possible drug-like molecules than any pharmaceutical laboratory could ever test. A new deep learning system, ...

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.

Abstract: This research addresses the challenge of camera calibration and distortion parameter prediction from a single image using deep learning models. The main contributions of this work are: (1) ...

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 ...

Artificial intelligence (AI) is increasingly prevalent, integrated into phone apps, search engines and social media platforms as well as supporting myriad research applications. Of particular interest ...

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 ...