ABSTRACT: A new conceptual framework is presented that unifies Gödel’s incompleteness theorems with practical physical modeling through information-theoretic analysis. The method of variables with ...

Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...

Abstract: This article introduces a scalable distributed probabilistic inference algorithm for intelligent sensor networks, tackling challenges of continuous variables, intractable posteriors, and ...

Just because the center of gravity for GenAI compute and other kinds of machine learning and data analytics has shifted from the CPU to the XPU accelerator – generally a GPU these days, but not ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a unique set of tokens understood only by each model. Until recently, there was no ...

Artificial intelligence (AI) involves intense computing and tons of data. The computing may be performed by CPUs, GPUs, or dedicated accelerators, and while the data travels through DRAM on its way to ...

At the heart of the Damas-Hindley-Milner (HM) type system lies the abstraction rule which derives a function type for a lambda expression. This rule allows the type of the parameter to be “guessed”, ...

The widespread integration of Internet of Things (IoT) technology in the military domain has brought significant attention to the security concerns surrounding the Internet of Battlefield Things (IoBT ...

AI is transforming industries at an unprecedented pace. From life sciences and financial services to automotive and manufacturing, enterprises are racing to integrate AI into their operations. However ...

1 Department of Computer Science, Georgetown University, Washington, DC, United States 2 Department of Computer Science and School of Public Policy, Georgetown University, Washington, DC, United ...