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Federated Learning Technology 'DeepProtect' [NICT]

Create AI systems while protecting data confidentiality! Applicable in manufacturing, healthcare, and life sciences.

"DeepProtect" is a decentralized machine learning technology that allows multiple organizations to share models through deep learning without sharing data with each other. In areas such as materials informatics, it enables multiple organizations to collaborate on creating AI systems while maintaining the confidentiality of their data. There are use cases such as secure integrated analysis of healthcare data. 【Use Cases】 ■ Manufacturing - Predictive maintenance for equipment failures - Quality control and anomaly detection ■ Medical & Life Sciences - Secure integrated analysis of healthcare data - Optimization of drug discovery processes *For more details, please refer to the PDF document or feel free to contact us.

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Shinshu TLO publishes a technology introduction page connecting companies and universities.

While serving as a foundation for promoting open innovation, accelerate the social implementation of highly practical technologies!

Shinshu TLO Co., Ltd. (Headquarters: Ueda City, Nagano Prefecture) has recently launched a new technology introduction page to further promote technological collaboration with companies. This page features a cross-disciplinary collection of technology seeds originating from universities and research institutions that the company handles, supporting the creation of technology exploration and collaboration opportunities in corporate research and development and new business development departments. It broadly introduces technologies applicable to various industries, including manufacturing, healthcare, energy, and information and communication, without being limited to specific fields. A rapid response system for technology consultations and matching from the industrial sector has also been established, promoting the creation of new value through industry-academia collaboration. *For more details on the press release, please refer to the related link. For further inquiries, feel free to contact us.

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