Data Science and Buddhism: The Ugly Duckling Theorem and the Middle Way

Modern data science traces its roots to the pattern-recognition research of the 1960s. In Japan, one of the earliest successes was the development of machines capable of reading handwritten postal codes. During this formative period, philosopher-scientist Satoshi Watanabe proposed the…

Neuromorphic Computing: Can It Play a Role in Mainstream AI Development?

Neuromorphic computing, inspired by the structure and functionality of the human brain, has shown promise in energy efficiency and parallel processing. However, it has yet to make a significant impact in the mainstream AI development currently dominated by large-scale models…

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 three-dimensional factors from them using a dimensionality reduction technique called…

Semantic data mining that fundamentally changes information analysis 1

Kunihiro Tada, Mindware Research Institute Kunihiro Tada, Mindware Research InstituteWe have already demonstrated in the Innovation Map project that embedded vectors can be generated from product description texts for IT and data science products, which can then be used in data mining…

Evaluation of Sora by YouTubers 1

I Generated Over 150 Video Clips Using Sora: Here’s What I Found In the ever-evolving world of AI video generation, Sora has emerged as a notable contender. I recently put its capabilities to the test, generating over 150 different video…

Trends in Idea Extraction and Information Organization powered by AI

Traditional methods like the KJ Method, Grounded Theory Methodology (GTM), and mind mapping have long been used to extract ideas and organise information. The introduction of Large Language Models (LLMs) and generative AI has revolutionized these practices by automating processes…

How to survive the 30-year transitional period of the AI ​​revolution?

Elon Musk says that in the future, when AI replaces humans in work, we will all lose our jobs, and he advocates “universal high income.” (Apparently, this is a different concept from basic income.) https://edition.cnn.com/2024/05/24/business/video/elon-musk-ai-future-duffy-live-052408aseg2-cnni-business-fast In the future, work will…

What is the future that AI will bring?

This site is not only about tracking trends in AI technology, but also about discussing the relationship between AI technology, humans, and society. AI technology seems to have the potential to fundamentally change the structure of society. Some people are…

Ranking AI application development platforms

The ranking page for AI application development platforms has been uploaded. This ranking is based solely on page views within this site. Each company’s page can be edited by each company.

Knowledge Graphs are becoming central to data science

As we launch the AI ​​review site AICritique, our first feature will be on knowledge graphs, which have seen increasing standardization in recent years and a dramatic increase in the number of companies entering the field. Knowledge graphs (KGs) began…

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