Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Many authors have long been engaged in the automatic generation of test items or stimuli, recognizing their potential for improving test efficiency, scalability, and psychometric quality. Pioneering ...

Low commodity prices, elevated input costs and ongoing market uncertainty have many farmers facing another year of negative or near-break-even returns. The Trump administration’s $12 billion in ...

Editor’s note: The following was written by Nick Paulson and Gary Schnitkey with the University of Illinois and Carl Zulauf with the Ohio State University for the Dec. 16 farmdoc daily website.

It is easier to attack those similar to oneself as opposed to the entities responsible for the African American community's social, political, and economic quagmire Lately, I have noticed that some ...

Amazon has grown from a direct retailer to a thriving marketplace with third-party sellers now bringing in 61% of its total sales. This creates opportunities for founders like Ron Earley, CEO of ...

For example, when a user asks a question, the LLM analyzes the input and decides whether it can answer directly or if additional steps (like a web search) are needed.

Robbie has been an avid gamer for well over 20 years. During that time, he's watched countless franchises rise and fall. He's a big RPG fan but dabbles in a little bit of everything. Writing about ...

Tom Wicky is the co-founder and CEO MyFBAPrep, a global warehouse network that serves top Amazon sellers and enterprise brands. Fulfillment by Amazon (FBA) is one of the most cost-effective avenues ...