LLM Semantic Router releases Decision 3.0: 5 open multimodal decision models, 0.8B to 27B, with d3 scoring 64.1.
Researchers have developed a hybrid particle-filter and neural network framework that predicts lithium-ion battery remaining ...
Barra is a model for estimating the risk of equity portfolios. It was created by Barra, a company founded by Barr Rosenberg, and is currently provided by the index company MSCI (announcement of the ...
Introduction A few years ago, I was running demand forecasting models for work. The accuracy was decent, and the dashboard ...
When an agentic AI system hands a task from a small model to a larger one — or back down again — it pays a steep tax: the receiving model has to recompute the entire conversation from scratch, driving ...
Public health policy and disease surveillance systems require accurate forecasting of infectious disease dynamics to support timely interventions and resource allocation. However, classical linear ...
We study inference via heteroskedasticity in linear models commonly used for macroeconomic policy analysis, where covariate endogeneity must often be addressed with limited time and data. Our ...
In light of recent global shocks and rising external volatility, there is a growing need to effectively monitor short-term economic fluctuations, especially in countries with limited access to ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Hillel Wayne discusses how formal methods ...
Computational Bayesian Experimental Design and Inference for Assisted Linear Circuit Prototype Debug
Abstract: Circuit prototype debug can be challenging for students and novice engineers for which emerging intelligent Bayesian statistical methods have potential application. We introduce an automated ...
Plant species compete with one another in remarkably diverse assemblages throughout the world. Spatial patterns, including aggregation and intermixing, are also widespread in these communities. Here, ...
A basic regression prediction call can return a house-price point estimate without an interval. That API output should not be confused with a limitation of ordinary least squares: under stated ...
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