Database optimization has long relied on traditional methods that struggle with the complexities of modern data environments. These methods often fail to efficiently handle large-scale data, complex ...

Florida Atlantic University (FAU) will become the first university in Florida to publicly host ...

As ad platforms turn into black boxes, signal optimization offers a way to predict downstream value early and improve CAC and ...

Cheng, R. , Liu, J. , Hao, L. and Wu, D. (2026) On the Application of the Infinitesimal Method to Two Categories of Problems in College Physics. Open Journal of Social Sciences, 14, 378-389. doi: ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...

For years, the AI community has worked to make systems not just more capable, but more aligned with human values. Researchers have developed training methods to ensure models follow instructions, ...

Unisys (NYSE: UIS) announced that its peer-reviewed research paper, "Analyzing Performance of Commercial Quantum Annealing Solvers for the Capacitated Vehicle Routing Problem," has been published in ...

Adult learning in the United States continues to evolve as colleges, universities, and professional programs adapt to the ...

No objectives succeed without data. Sustainability attributes scatter across messy text, images, and databases. Companies ...

When it comes to powering aircraft, jet engines need dense, energy-packed fuels. Right now, nearly all of that fuel comes ...