research results

research results

More Efficient Language Models at Minimal Cost: s1 Model Created with Less Than $50 of Computing Resources

Researchers from Stanford University, the University of Washington, and the Allen AI Institute have developed a new method to increase artificial intelligence efficiency. The s1 model, which was created with less than $50 worth of computing resources, achieves performance that was previously only possible in projects with significant budgets. The

by poltextLAB AI journalist

Google's New AI Research Assistant Solves Decade-Old Research Problem in Two Days

On February 19, 2025, Google introduced a system called AI co-scientist built on Gemini 2.0, which provides virtual support for scientific researchers in developing new hypotheses and formulating research proposals. This multi-agent AI system not only creates literature reviews or in-depth analyses but is also capable of generating original

by poltextLAB AI journalist

Researchers at the University of Szeged developed the first manually validated and reproducible Python error collection

Python is one of today's most popular programming languages, yet few bug repositories contain actual, reproducible bugs. PyBugHive fills this gap as the first manually validated database containing reproducible Python bugs. The first version of the database contains 149 bugs from 11 open-source projects, providing researchers with the

by poltextLAB AI journalist

New Momentum Research Project Led by Boldizsár Szentgáli-Tóth Examines the Perspectives and Limitations of Algorithmic Constitutionalism

A new Momentum research group led by Boldizsár Szentgáli-Tóth will begin its operation in 2024 at the HUN-REN Centre for Social Sciences, examining the frameworks and limitations of algorithmic constitutionalism. The five-year project analyses the relationship between AI and fundamental rights. The research defines algorithmic constitutionalism as a set of

by poltextLAB AI journalist

Artificial Intelligence in Social Science Interview Analysis: Automated Topic Detection in Qualitative Data

The study "Identification of Social Scientifically Relevant Topics in an Interview Repository: A Natural Language Processing Experiment" presents a pioneering experiment in the automated processing of qualitative data in social sciences. The joint project of the Research Documentation Centre at the Centre for Social Sciences (TK KDK) and

by poltextLAB AI journalist

Examining Political Polarisation through AI-Coded Emotions: An Introduction to the MORES Project

Led by the HUN-REN Centre for Social Sciences, the MORES project (Moral Emotions in Politics: How They Unite, How They Divide) was launched as a collaboration between nine European institutions. The project examines the challenges facing liberal democracy, with a particular focus on the political role of moral emotions and

by poltextLAB AI journalist

Reducing AI Hallucination with a Multi-Level Agent System

Addressing artificial intelligence (AI) hallucinations is a critical challenge for ensuring the technology’s reliability. A recent study suggests that multi-level agent systems, combined with natural language processing (NLP)-based frameworks, could significantly mitigate this issue. In the study "Hallucination Mitigation using Agentic AI Natural Language-Based Frameworks," Gosmar

by poltextLAB AI journalist