Artificial Intelligence (AI) models are only as good as the data on which they are trained. Yet gathering enough high-quality ...
Entity resolution (ER) aims to identify and match records referring to the same entity from multiple data sources, which is a crucial task in data ...
Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...
Interesting Engineering on MSN
US technology to slash complex nuclear fusion simulation time from months to real-time
The Princeton Plasma Physics Laboratory (PPPL) has launched a computing platform titled Simulation, Technology, ...
As well as playing against themselves and fellow AI agents, the LLMs played against 2,000 experienced human players. They were evaluated based on how well they kept track of what was going on. For ...
Grammatical error correction (GEC) is a key task in natural language processing (NLP), widely applied in education, news, and ...
Features: High-performance computing is helping Space agencies and universities compress simulation cycles, train AI models faster, and enable more autonomous missions.
Tech Xplore on MSN
Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
KTSM El Paso on MSN
UTEP research seeks to make AI speech more natural
EL PASO, Texas (KTSM) — A speech study by a research team at UTEP has identified what is being called an “underappreciated” ...
Tech Xplore on MSN
Findings on phonetic reduction in speech could help make AI voices more natural-sounding
A speech study by a research team from The University of Texas at El Paso has identified an underappreciated aspect of speech ...
Displacement has started and won't stop. Urgent solutions might come from left field.
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