2025年12月26日 In 未分類 Entered into AI governance-related business Mindware Research Institute is currently developing a SaaS called ConceptMiner, and we are pleased to announce that we have decided to make a major change to the product concept and… Read More
2025年12月6日 In 未分類 A Unified Perspective on Cosmology, Causal Structure, Many-Worlds Interpretation, and Bayesian Networks — The Universe as a Causal Network and Its Philosophical Implications — Abstract This article aims to provide an integrated perspective on the Many-Worlds Interpretation (MWI) of quantum mechanics, relativity… Read More
2025年11月30日 In Data Science Data Science and Buddhism: From the “Ugly Duckling Theorem” to Emptiness, Provisionality, and the Middle Way The pioneering research that shaped today’s “data science” can be traced back to pattern recognition studies of the 1960s. In Japan, that era saw the development of machines capable of… Read More
2025年10月16日 In 未分類 The Value of Human–AI Interfaces in the Age of AGI Why Meaning-Based Interaction Becomes Even More Essential When Machines Think for Themselves 1. The Coming Paradox of AGI Let’s imagine a world just three years from now — a world… Read More
2025年1月24日 In 未分類 Viscovery SOMine 8.1 Release Viscovery SOMine 8.1 is a minor feature release. These are the notable changes. New Features The Group Profile window can now show the adjusted P-value in a separate column if multiple testing… Read More
2024年12月19日 In Data Science Semantic data mining that fundamentally changes information analysis 2 Kunihiro Tada, Mindware Research Institute In the previous article, we (1) created a rich text of food-report-style tasting experiences of 20 fictitious crisps, (2) obtained their embedding vectors, (2) extracted… Read More
2024年12月16日 In Data Science Semantic data mining that fundamentally changes information analysis 1 Kunihiro Tada, Mindware Research Institute We have already demonstrated in the Innovation Map project that embedded vectors can be generated from product description texts for IT and data science products,… Read More
2024年7月15日 In Data Science SOM as a platform for ensembles of multi-machine learning models In a typical data science course, self-organizing maps (SOMs) are likely introduced as a method for data visualization, dimensionality reduction, clustering, and exploratory data analysis. Because it can be used… Read More
2024年6月10日 In Innovation Maps Innovation Maps: IT Industry top 1000 Services and Products Competing Map This time, we're not talking about cutting-edge technology, but a competitive map of current services and products. Actually, we were planning to research the topic of "no-code tools," but the… Read More
2024年6月8日 In Data Science UMAP-SOM: A cutting-edge technique for enabling ultra-multidimensional data mining When performing data clustering (cluster analysis), the results change depending on which attributes (variables) are included in the analysis and how much weight is placed on each attribute, but traditional… Read More