Advanced computer models can quantify the impacts of climate change and other environmental challenges, providing deep ...
Abstract: In this article, we propose a model-free approach for solving the bipartite output consensus problem of discrete-time heterogeneous multiagent systems subject to input saturation over a ...
In a new paper from OpenAI, the company proposes a framework for analyzing AI systems' chain-of-thought reasoning to understand how, when, and why they misbehave.
Google released on Thursday a “reimagined” version of its research agent Gemini Deep Research based on its much-ballyhooed state-of-the-art foundation model, Gemini 3 Pro. This new agent isn’t just ...
Mayo Clinic does what Mayo Clinic wants, and the city’s community input process allows this. Despite Destination Medical Center consulting with the stakeholders and advocating for design principles ...
Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...
Abstract: Structural decoupling has played an essential role in model-based fault isolation (FI) and estimation in past decades, which facilitates accurate fault localization and reconstruction thanks ...
The study finds that up to 60% of a scientist’s research output is shaped by the institution where they work—highlighting the importance of strong academic environments like UC Santa Cruz in advancing ...
End-to-End quantitative (Python) decision support system for optimizing economic resilience against disasters. Implements updated MRIA model using multi-regional supply-use tables, three-step ...
Does the awarding of tenure spur or slow the rate of university faculty research output? Do faculty members produce their most impactful work before or after they earn tenure? Do they become more ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback