The FDA’s new draft guidance on Bayesian methodology signals a shift toward more flexible, data-driven clinical trial designs, enabling sponsors to use prior data and adaptive approaches to improve ...
“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...
AI Technology, Restaurant Operations, Customer Experience, Workflow Optimization, Labor Management Share and Cite: Wang, A.
Chemical biology increasingly benefits from the close integration of experimental structural techniques and computational ...
Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...
Abstract: As modern industrial processes increase in integration and scale, there exist intricate dynamic time variability and nonlinearity within process data. Deep-learning-based nonlinear dynamic ...
Objective: We aimed to develop, validate, and assess NeuroBot, an AI-driven system that uses large language models (LLMs) with retrieval-augmented generation to deliver timely, accurate, and ...
Human Intelligence Business Plans is taking a novel approach for creating trucking business plans for the freight ...
Dr Yves R. Sagaert emphasizes the importance of organizations shifting away from traditional static budgeting, which relies ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Trango Tech announced an update outlining how mobile applications are increasingly serving as the primary interface for applied artificial intelligence, reflecting a broader shift in how AI ...
A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback