Machine learning models are usually complimented for their intelligence. However, their success mostly hinges on one fundamental aspect: data labeling for machine learning. A model has to get familiar ...

India’s engineering workforce faces a growing AI skill paradox, reveals a Scaler-CMR study. While most engineers feel ...

Great models die in deployment, so we built a golden path that turned weeks of ML friction into days — and unlocked nonstop ...

Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.

Over time, the loss of human expertise caused by AI use can impair the quality of that very AI – in the worst case, insidiously and unnoticed. This is the finding of a new study by researchers from ...

For software developers today, staying competitive means embracing AI technologies. Here’s how some developers are staying ahead of the curve.

Studying gene expression in a cancer patient's cells can help clinical biologists understand the cancer's origin and predict the success of different treatments. But cells are complex and contain many ...

Introduction Artificial Intelligence (AI) enables computers to perform tasks that normally require human intelligence- such as learning from data, recognizing ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

Large Language Models (LLMs) are the industry’s closest friends. They are our best friends, even if they are seen as disruptors, making the scene volatile. They are a learner’s paradise. With the risk ...