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Happy New Year 2025
Hi friends, Happy New Year! Toshi Stats focuses on AI agents powered by thinking models this year. It must be exciting. Hope you can enjoy updates from us!
We had a seminar about LLM at one of the best institutes of technology in Japan!
Today, we held a seminar on LLM at MURORAN INSTITUTE OF TECHNOLOGY, one of Japan's premier institutes of technology. Thanks to the lively discussions by everyone, it was a very fruitful time. Thank you for your cooperation.
Toshi Stats introduces "LangChain" as our base library to develop cross-lingual intelligence!
“LangChain” is a framework for developing applications powered by language models. This is an open source software and is getting popular all over the world.
Happy new year from Tokyo! We are going to develop generative models of computer vision and NLP in 2023.
Since ToshiStats has new technologies to generate digital arts, we will perform many experiments to lead innovations this year!
Toshi Stats officially opens "DIGITAL ART LAB" to enhance the technologies to generate digital arts!
This image is under CC BY-NC-SA
ToshiStats officially introduces "JAX" as the language to develop new deep learning models!
Happy new year from Tokyo, Japan
Hi friends, happy new year! Hope you keep safe in 2022.
ToshiStats focuses on the research of "Graph Neural Networks" in 2022!
"Graph Neural Networks" can be applied to many fields. It can be a game changer in the near future. Stay tuned!
Digital arts by computer vision techonology
With computer vision technologies, we create high-quality digital arts here. Stay tuned!
ToshiStats introduces "Cirq" as primary library to perform quantum computing
Cirq is developed by Google and available for everyone who is interested in quantum computing!
ToshiStats is going to "Digital arts" by artificial intelligence. Stay tuned!
Toshi1 under CC BY-NC-SA
ToshiStats introduces SHAP to promote explainable AI
SHAP is an open source to provide explanations of “how models proivde results”. It is very useful to develop AI models and inplement them effectively.
This is from SHAP websile. SHAP (SHapley Additive exPlanations) is a game theoretic approach to explain the output of any machine learning model. It connects optimal credit allocation with local explanations using the classic Shapley values from game theory and their related extensions.
The algorithms and visualizations used in this package came primarily out of research in Su-In Lee's lab at the University of Washington, and Microsoft Research.
Sakura greetings from Tokyo, Japan!
Let us start "Quantum Machine Learning" to accelerate development of AI!
Happy new year 2021!
Thanks for your cooperation last year!
ToshiStats Co.,ltd is selected as "Top10 of Cognitive Tech company" by APAC CIOoutlook
Hi friends, Hope you are well and safe under MCO. In May 2020, ToshiStats Co.,ltd, my start-up, is selected as "Top10 of Cognitive Tech company" by APAC CIOoutlook. Hope I can contribute to "democratization of AI" going forward. Let me know when you need expertise in AI in your businesses.
ToshiStats starts “Challenge 1000 with AI” to be ready for the new era !
ToshiStats developed the first cross-lingual system!
This system accepts inputs written in 16 languages! That is great!!
TOSHI STATS starts NLP project by “BERT” to enhance Machine intelligence
As I explained the article, BERT might change the landscape of natural language processing (NLP). I update soon. Stay tuned!
