The need for robust cybersecurity measures has never been more critical. With the rise of sophisticated data signals and ...

As cars have evolved into rolling computing platforms, vehicle safety now extends well beyond the traditional seat belt.

Data collection has become a major part of food manufacturing, but without data standardization, measuring overall equipment ...

In today’s era of digital transformation, generative artificial intelligence is reshaping how machine learning models are developed beginning with feature engineering. Vineetha Sasikumar, a passionate ...

A team of San Antonio-based biomedical researchers trained a machine learning algorithm to identify more than two dozen ...

Maintaining accurate product data is crucial for businesses looking to increase customer satisfaction, reduce operational ...

A team of biomedical researchers trained a machine learning algorithm to identify more than two dozen viable treatments for diseases caused by zoonotic pathogens that can jump from animal hosts to ...

In my experience working with data engineering and AI, I’ve come to realize that data governance isn’t just about ...

The legal industry has seen significant technological advancements in recent years, with artificial intelligence (AI) being a ...

Poonawalla Fincorp has implemented an AI-powered platform aiming to transform debt management by leveraging predictive models ...

Researchers from Nanjing University and Carnegie Mellon University have introduced an AI approach that improves how machines learn from past data—a process known as offline reinforcement learning.

Creating a purpose-built repository of standardised reaction data is a tall order, but the reward would be huge ...