2020 BRN Discussion, page-8667

a strategic framework for military applications of artificial ... - CNA

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Last year in March, a Combat Management System (CMS), developed by Tata Power Strategic Engineering Division in collaboration with Weapon and Electronics System Engineering Establishment and MARS Russia, was handed over to the Indian Navy. The CMS was developed for India’s first indigenous aircraft carrier, also known as IAC-1 or Vikrant.

Tata consultancy is working with BRN in a number of fields ie ;Robotics  etc


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The military advantage in AI will go to the nation with the most strategically focused investments and the most comprehensive enabling environment. ... A new publication by the center recommends that the Navy develop a strategy and implementation plan for AI applications.

Special Notice N00014-19-S-SN08 Special Program Announcement for 2019 Office of Naval Research Basic and Applied Research Opportunity: “Science of Artificial Intelligence – Basic and Applied Research for the Naval Domain”
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Objective: New and powerful AI techniques developed in recent years show promise to address issues mentioned above; however, development of AI-based condition indicators (CIs) for predictive maintenance are lagging behind many other AI applications. Specifically:
• Existing parametric sensor data from platform health and usage monitoring systems come (predominately) from normal operations and contains very little data from actual faulted components.
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Lack of data for both labeled fault modes and verified system faults limits the development of supervised learning AI techniques.

• Unsupervised learning AI techniques can address the challenges associated with the lack of labeled data, but still need verified condition assessments to validate outputs

Objective: The goal of this project is to develop new learning algorithms for spiking neurons that will allow deep learning spiking networks to be built that can solve complex real-world problems. The consequences would be far reaching in terms of both the practical applications and the theoretical insights into how to compute with spikes.