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Fujitsu to license Topological Data Analysis technology to Delight Health, a Bay Area startup focused on providing innovative mental health solutions License transfer highlights Fujitsu's open innovation approach with Silicon Valley ecosystem to bring ...
MyJournals.org - Science - '[ASAP] Valence-Engineered Oxidase-Mimicking Nanozyme with Specificity for Aromatic Amine Oxidation and Identification' (Analytical Chemistry)
L’Oréal-UNESCO Women in Science Rising Talent fellowships recognise exceptional early careers women scientists in the UK and Ireland, providing grants to support the recipients in pursuing their research.Five grants are awarded to outstanding women p
Four years into their collaboration, artificial intelligence technology developed by Japan’s Fujitsu and Inria’s DataShape project-team is being tested in a major clinical trial. The technology leverages Topological Data Analysis (TDA) to automatically create AI models that can detect anomalies in time-series data in fields such as health or engineering. In October, the Fujitsu AI team and the cardiology team at the University of Tokyo Hospital began evaluating its potential for early detection of heart disease.
Fujitsu and France's Inria Develop New Time-Series AI Technology to Identify Causes of Data Anomalies Fig. 1 TDA-based technology for identifying the causes detecting anomalies Fig. 2 EEG data of delirium state (blue line) and EEG data judged to be normal generated by this technology (red line) In recent years, various kinds of time-series data collected in fields including healthcare, social infrastructure, and manufacturing have been leveraged by AI to perform situational judgment and detect anomalies. In the case of time-series data, however, there are a wide range of factors that can cont...