Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

Panelists repeatedly highlighted that AI compute scaling is dramatically outpacing traditional Moore’s Law transistor efficiency improvements. As compute density increases, energy consumed in data ...

Abstract: The SGAM Toolbox has established itself as a valuable modeling tool in the energy sector, particularly for interdisciplinary system-of-systems use cases. Built on a domain-specific modeling ...

The R language for statistical computing has creeped back into the top 10 in Tiobe’s monthly index of programming language popularity. “Programming language R is known for fitting statisticians and ...

Jean-Charles Pelland's work has been made possible by financial support from the ‘QUANTA: Evolution of Cognitive Tools for Quantification’ project, which has received funding from the European ...

Some cars invite you in with chrome and comfort. The Model T invites you into a time machine, hands you three pedals that mean the wrong things, and politely asks you to learn 1910s. Then it coughs, ...

Until now, the AI revolution has been largely measured by size: the bigger the model, the bolder the claims. However, as we move closer to truly autonomous and pervasive AI systems, a new trend is ...

Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...

ABSTRACT: Variational methods are highly valuable computational tools for solving high-dimensional quantum systems. In this paper, we explore the effectiveness of three variational methods: density ...