Abstract: Due to various reasons, outliers, ambient noise and missing data inevitably exist in the industrial processes, and thus the robustness is important when establishing monitoring models. In ...

Microsoft has announced the launch of its latest chip, the Maia 200, which the company describes as a silicon workhorse designed for scaling AI inference. The 200, which follows the company’s Maia 100 ...

Abstract: The rapid expansion of large language models (LLMs) has led to increasingly frequent interactions between LLM agents and human users, motivating new questions about their capacity to form ...

Brain activities often follow an exponential family of distributions. The exponential distribution is the maximum entropy distribution of continuous random variables in the presence of a mean. The ...

Over the past several years, the lion’s share of artificial intelligence (AI) investment has poured into training infrastructure—massive clusters designed to crunch through oceans of data, where speed ...

Adaire Fox-Martin, Equinix CEO, joins 'Power Lunch' to discuss Equinix's role in the data center world, the 'secret sauce' of the company and much more. Got a confidential news tip? We want to hear ...

Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. AI has a shiny front end. As everyone who’s used an ...

Regression models with intractable normalizing constants are valuable tools for analyzing complex data structures, yet parameter inference for such models remains highly challenging—particularly when ...

Three crew members of the Bayesian superyacht are officially under investigation for crimes including negligence, recklessness and failing to save the ship from an oncoming storm, according to Italian ...

This valuable study addresses a central question in systems neuroscience (validation of active inference models of exploration) using a combination of behaviour, neuroimaging, and modelling. The data ...