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Global
Materials Discovery
Enabling rapid discovery of new material candidates using accelerated quantum chemical simluations based on HPC and AI. The simulation results are then further enhanced using causal discovery AI.
Global
Fujitsu’s TDA Technologies
In this page, we introduce our new technology based on topological data analysis (TDA) for analysing complex time series data.
Global
TDA-Based Time Series Anomaly Detection
Anomaly detection for various time-series data can be easily performed. Using Topological Data Analysis (TDA) to capture the “shape of data” allows for the prevention and monitoring of serious incidents caused by malfunctions or degradation.
Global
TDA-Based Time Series Anomaly Detection Demo
Fujitsu's TDA technology prevents and monitors serious incidents caused by failures and degradation, by analyzing the mechanism of time series changes.
Global
Security Audit Automation by AI
Automatically identify system security risks from design documents and other sources and propose effective measures by using AI, leading to secure system development.
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Wide Learning
Present reasons for AI judgements and field improving actions by exploring all the hypotheses from input table data.
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AutoML for Vision
Given a visual task, our system figures out the best way to solve it without need of user expertise in AI.
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AutoML Automated AI Model Development (Automated Machine Learning)
Fujitsu's AutoML technology enables rapid generation of highly accurate machine learning models, including trial-and-error execution programs.
Global
Smart Enterprise Data Assistant
On demand business data analytics and visualization using chat mode without requiring programming or customization.
Global
Introducing Fujitsu Auto Data Wrangling
Hello, I’m Lei Liu from our Artificial Intelligence Laboratory. Today, I would like to introduce an exciting new AI core engine – Fujitsu Auto Data Wrangling – which is now available from Fujitsu Kozuchi. This article is part of a series introducing the AI core engines of Fujitsu Kozuchi. At the end of the article, you can find a list of all the previous articles!