In the ever-growing field of machine learning, one of the most significant challenges is making complex models interpretable and accessible. Enter AutoXplainAI, an innovative framework developed by ...

Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland Biocenter Oulu, University of Oulu, Aapistie 5 A, 90220 Oulu, Finland ...

The 18-year-old won $250,000 for training a machine learning model to analyze understudied data from NASA's retired NEOWISE ...

Previous research has shown, and our work reconfirmed, that pretraining with one bio-signal allows a machine-learning model to learn from another bio-signal with fewer labels. This shortcut means ...

A new technical paper titled “A Universal AI-Powered Segmentation Model for PCBA and Semiconductor” was published by researchers at Nordson Corporation. “This paper introduces a novel universal deep ...

This project builds on classroom learning, putting students’ enthusiasm and inventiveness to work in conjunction with interactive lessons. Students will participate in the design and construction of a ...

Through machine learning from AI, massive datasets relating to the stock market are assessed in algorithmic trading to detect real-time trade patterns and execute trades. Additionally, AI deals ...

The team first estimated which genes were present in ancestral genomes. They then used machine learning to predict whether or not each ancestor used oxygen to live. To best utilise fossil records ...

Conclusions: We developed a model containing 8 metabolites based on metabolomics and machine learning that may predict survival ... Raw data files generated by the mass spectrometer such as mzML or ...