In research that could improve weather forecasting and winter driving safety, a University of Michigan-led study ...

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...

If users chose the most efficient model each time they performed a task with AI, researchers calculate it would slash energy ...

DRDO DG emphasizes indigenous ship design, AI integration, and collaboration for atmanirbhar naval systems at Ship Design Workshop.

Now, the biggest change involves incorporating AI tools to speed analysis and catch anomalies or outliers that humans could ...

Nine years after exploring a vision of AI tools helping plant scientists, Iowa State's AI in Ag team has built a web-based ...

This interesting study adapts machine learning tools to analyze movements of a chromatin locus in living cells in response to serum starvation. The machine learning approach developed is useful, the ...

Are You Managing Your Non-Human Identities Effectively? Managing machine identities, often termed Non-Human Identities (NHIs), is an essential aspect of organizational cybersecurity. Yet, are security ...

For thousands of years traditional Chinese medicine (TCM) practitioners have checked patients’ tongues as part of a full ...

While it has become indispensable for the success of DNNs, BP has several limitations, such as slow convergence, overfitting, high computational requirements, and its black box nature. Recently, ...