Researchers have created an innovative system for generating personalized storybooks. This system utilizes generative artificial intelligence and home IoT technology to assist children in language learning. The findings are published in the journal Proceedings of the CHI Conference on Human Factors in Computing Systems.Researchers have created an innovative system for generating personalized storybooks. This system utilizes generative artificial intelligence and home IoT technology to assist children in language learning. The findings are published in the journal Proceedings of the CHI Conference on Human Factors in Computing Systems.Consumer & Gadgets[#item_full_content]

An algorithm developed by Washington State University researchers can better find data anomalies than current anomaly-detection software, including in streaming data.An algorithm developed by Washington State University researchers can better find data anomalies than current anomaly-detection software, including in streaming data.Computer Sciences[#item_full_content]

Deep learning models, such as those used in medical imaging to help detect disease or abnormalities, must be trained with a lot of data. However, often there isn’t enough data available to train these models, or the data is too diverse.Deep learning models, such as those used in medical imaging to help detect disease or abnormalities, must be trained with a lot of data. However, often there isn’t enough data available to train these models, or the data is too diverse.Machine learning & AI[#item_full_content]

Engineering researchers at the University of Minnesota Twin Cities have demonstrated a state-of-the-art hardware device that could reduce energy consumption for artificial intelligent (AI) computing applications by a factor of at least 1,000.Engineering researchers at the University of Minnesota Twin Cities have demonstrated a state-of-the-art hardware device that could reduce energy consumption for artificial intelligent (AI) computing applications by a factor of at least 1,000.Hardware[#item_full_content]