Who is a data scientist? What does he do? What steps are involved in executing an end-to-end data science project? What roles ...

Two major milestones: finalizing my database choice and successfully running a local model for data extraction.

In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...

This is the official code repository of Cosmos-Drive-Dreams - a Synthetic Data Generation (SDG) pipeline built on Cosmos World Foundation Models for generating diverse and challenging scenarios for ...

Abstract: Code vulnerability detection (CVD) is a critical approach to ensuring the security, stability, and reliability of software. When exploited by malicious actors or hackers, code ...

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

CDAC AI course offers industry-oriented training in artificial intelligence, machine learning, and data science. Learn about ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Overview Most data science work benefits more from stable RAM and CPUs than from GPUs.The best laptops for data science ...

Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...