Abstract: Data-driven soft sensing is widely adopted for real-time quality variable detection due to rapid advancements in machine learning. Industrial process data typically exhibit high ...
Recursive Self-Improvement Now Has a Co-Evolving Evaluator: Cambridge-NVIDIA Paper Raises the Stakes
Recursive self-improvement AI now has a co-evolving evaluator: a Cambridge and NVIDIA preprint introduces the Red Queen Gödel ...
Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...
Abstract: In the world of remote sensing, hyperspectral imaging has emerged as a powerful tool that captures incredibly detailed information about our environment. These images contain hundreds of ...
For the first time, a research team has demonstrated an artificial intelligence semiconductor technology that integrates the ...
Bigger has defined AI from day one. New data says task-specific small models beat frontier LLMs on accuracy, cost and speed — ...
TwinCAT CoAgent delivers powerful AI-assisted engineering and programming support across every stage of the automation ...
Researchers used a process called symbolic regression to derive the equations from a biogeochemical model of the ocean.
This model is part of the paper "Representation learning for multi-modal spatially resolved transcriptomics data". Authors: Kalin Nonchev, Sonali Andani, Joanna Ficek-Pascual, Marta Nowak, Bettina ...
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