A five-year-old aviation enthusiast has captured the attention of the airline industry after spotting what appeared to be a discrepancy in a cockpit diagram used by Southwest Airlines. What started ...
RAG isn't always fast enough or intelligent enough for modern agentic AI workflows. As teams move from short-lived chatbots to long-running, tool-heavy agents embedded in production systems, those ...
Scientists are testing a novel way to measure cosmic expansion using time delays in gravitationally lensed quasars. Their results match “local” measurements but clash with early-universe estimates, ...
In Global Navigation Satellite System (GNSS)-Radio Occultation (RO) assimilation, observation data are assigned a unique ID for each profile, which is used for inflation of observation errors ...
As best I can tell, ray.rllib.utils.spaces.repeated.Repeated observation spaces don't get handled correctly when it comes to vector environments' batching of observations and the subsequent unbatching ...
Background Surgical errors in ophthalmology can have devastating consequences. We developed an artificial intelligence (AI)-based surgical safety system to prevent errors in patient identification, ...
Ocean observing systems in coastal, shelf and marginal seas collect diverse oceanographic information supporting a wide range of socioeconomic needs, but observations are necessarily sparse in space ...
Power Query often automatically adds a ‘Change Type’ step after loading data to try and assign data types to columns based on the first 1,000 rows. If your data includes inconsistent types, such as ...
Abstract: The observation error model of the underwater acoustic positioning system is an important factor to influence the positioning accuracy of the underwater ...
Hamiltonian simulation is one of the most promising applications of quantum computers, and the product formula is one of the most important methods for this purpose. Previous related work has mainly ...
Abstract: Most of the existing estimation methods for nonlinear systems have been developed by using non-self-error data (e.g., prediction error and observation error ...
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