March 19, 2024 In Innovation Maps Innovation Maps on Autonomous Vehicles Autonous Vehicles are one of the most impactful innovations in terms of directly changing the way we work and live. The development of autonomous driving technology is commonly categorized into… Read More
March 14, 2024 In Innovation Maps Innovation Map on Agent System Many say that the next boom after LLM is the agent system. Agent systems are collections of software and hardware that operate autonomously and seek to achieve goals within their… Read More
March 12, 2024 In Innovation Maps Clustering of Tech News This is a prototype version of the Innovation Map based on Tech News. Tech News retrieved from ChatGPT is summarized using ChatGPT, Embedding Vectors are obtained from the text, and… Read More
March 12, 2024 In Innovation Maps Innovation Map on Neuromorphic Computing Here is an Innovation Map on Neuromorphic computing which created from 118 abstracts from IEEE Xplore (https://ieeexplore.ieee.org/Xplore/home.jsp). We got Embedding vectors for each abstract using OpenAI API, and then reduced… Read More
December 14, 2023 In 未分類 (AI + energy) revolution + democratization of financial assets = waterworks philosophy The late Konosuke Matsushita, founder of Matsushita Electric Industrial Company (now Panasonic), had a vision for the future called the "waterworks philosophy". The people of Japan were living in poverty… Read More
October 27, 2023 In Data Science Ensemble model — Bagging If you just use a machine learning library's algorithm according to a textbook in a real problem, you won't be able to achieve better than 70% to 80% performance. Making… Read More
October 26, 2023 In Data Science Occam’s razor – principle of parsimony Occam's Razor is a principle that has its origins in medieval European scholasticism, and as a Japanese person, I feel a little embarrassed to discuss it. As always, check out… Read More
October 24, 2023 In Data Science How to use K-means Cluster analysis or data clustering can be hierarchical or non-hierarchical, and K-means is non-hierarchical clustering. The K-means procedure is very straightforward: Arrange K reference vectors with random numbers. The K… Read More
October 17, 2023 In Data Science No Free Lunch Theorem and Feature Engineering Talking about No Free Lunch Theorem is a bit risky. This is because this can be taken as a denial of machine learning algorithms. This is a theorem in the… Read More
October 10, 2023 In Data Science Classification and Clustering Classification and clustering are often confused because they are similar. In machine learning, it is generally explained that classification is supervised learning, and clustering is unsupervised learning. In statistical terms,… Read More