OpenAI announces GPT-5.5, its latest artificial intelligence model

OpenAI announced GPT-5.5, its latest AI model that is better at coding, using computers and pursuing deeper research ...
International Monetary Fund

Nowcasting Growth Using the Bayesian Structural Time Series Model: Application to Tanzania

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 ...
Scientific Research Publishing

Comparative Analysis of Neural Networks and Naive Bayes for Multilingual Text Identification ()

1 Department of Computer Science, Rochester Institute of Technology, Rochester, USA. 2 Department of Computer Science, Rutgers University, New Brunswick, USA. Language identification is a fundamental ...
VentureBeat

From static classifiers to reasoning engines: OpenAI’s new model rethinks content moderation

Enterprises, eager to ensure any AI models they use adhere to safety and safe-use policies, fine-tune LLMs so they do not respond to unwanted queries. However, much of the safeguarding and red teaming ...
C&EN

Natural Gas Purification Plants Based on Interpretive Structural Models and Bayesian Networks

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Natural gas purification plants are a critical part of the gas ...
www.cs.cmu.edu

Classical generalization theory is more predictive in foundation models than in conventional deep networks

Key takeaway: When learning over discrete prompts used in modern vision-language models, classical PAC-Bayes bounds turn out to be remarkably tight — significantly tighter than prior PAC-Bayes results ...
Scientific Research Publishing

Adugna, T., Xu, W., & Fan, J. (2022). Comparison of Random Forest and Support Vector Machine Classifiers for Regional Land Cover Mapping Using Coarse Resolution FY-3C Images ...

ABSTRACT: Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral ...
IEEE

Interacting Large Language Model Agents. Bayesian Social Learning Based Interpretable Models

Abstract: This paper discusses the theory and algorithms for interacting large language model agents (LLMAs) using methods from statistical signal processing and microeconomics. While both fields are ...