In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Real-time data processing has become essential as organizations demand faster insights. Integration with artificial ...

Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...

ICS are particularly vulnerable because they often rely on legacy systems, lack strong authentication, and cannot tolerate ...

For many years, Sree Hari Subhash has been a data engineer who has built and implemented artificial intelligence in many ...

With increasingly complex market dynamics, traditional personalization alone is no longer sufficient. Enter predictive AI ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

AI is a set of algorithms capable of solving problems. But how relevant are they to the tasks that EDA performs?

The seminar opened with a keynote by Saurabh Garg, Secretary, Ministry of Statistics, highlighting the role of data in ...

Successful generative AI implementation in life sciences demands careful prioritisation and setting realistic expectations.