While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

In recent years, machine learning (ML) has significantly reshaped the retail and e-commerce sectors. Author Nilesh Singh's ...

Industries from retail to finance are using clustering to personalize services, detect fraud, monitor equipment and improve ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow more ...

Common use cases of AI in the supply chain illustrate the benefits for companies of integrating AI into their operations.

In his paper, Kienitz shows Gaussian mixture models ( GMM s) – a machine learning technique that has been used to fit complex ...

Classical AI is not a competitor to quantum; it’s a critical enabling technology for realizing quantum’s potential.

What lies at the heart of a black hole has puzzled physicists for decades. Now, a team led by physicist Enrico Rinaldi has ...

In the changing scenario of energy management, Divakar Duraiyan is noted for his innovation-driven strategy towards the ...

A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

Discover the future of data & AI driven stock trading platforms shaping smarter, data-powered investment decisions. AI and ...

Machine-learning algorithms can now estimate the "brain age" of infants with unprecedented precision by analyzing electrical ...