To advance Polar code design for 6G applications, we develop a reinforcement learning-based universal sequence design framework that is extensible…
This post is cowritten with James Luo from BGL. Data analysis is emerging as a high-impact use case for AI…
This post was cowritten by Rishi Srivastava and Scott Reynolds from Clarus Care. Many healthcare practices today struggle with managing…
Employee onboarding is rarely a linear process. It’s a complex web of dependencies that vary significantly based on an individual’s…
Self supervised learning (SSL) is a machine learning paradigm where models learn to understand the underlying structure of data without…
The Octopus Model for Enterprise TransformationEnterprise data migration can be among the most costly, complex, and time-consuming endeavors organizations undertake — but…
Enterprises are managing ever-growing volumes of content, ranging from product catalogs and support articles to knowledge bases and technical documentation.…
Businesses want to move quickly and make informed decisions, but the explosion of data in today’s organizations often can leave…
The common approach to communicate a large language model’s (LLM) uncertainty is to add a percentage number or a hedging…
Editor’s Note: This blog post responds to allegations published by the Electronic Frontier Foundation (EFF) in relation to Palantir’s work…