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SUMMARY:AI for IOT INformation (AI3) Competition
DESCRIPTION:The Smart Communities\, Smart Responders – AI for IoT Information (AI3) Prize Competition calls participants to utilize data from multiple IoT devices to deliver an AI system to help first responders leverage the data coming from IoT devices\, smart buildings\, and other public data streams. Texas A&M University and US Ignite will run this new program with $1.2 million in funding provided by NIST’s Public Safety Innovation Accelerator Program – Artificial Intelligence for IoT Information (PSAIP – AI3) cooperative agreement. \n\n\n\n\n\nAnnouncement from NIST\n\n\n\nAnnouncement from US Ignite\n\n\n\n\n\n\n\n\n\nCreate an AI System to help first responders – like firefighters\, police\, and EMTs- leverage data from IoT devices\, smart buildings\, and other surrounding sources.\n\n\n\nUp to $360\,000 in cash prizes available!\n\n\n\nGet a head start and review the unofficial rules document now. Please note that the content in the document below is subject to change. \n\n\n\n\n\nDownload Unofficial Rules Document\n\n\n\n\n\n\n\n\nBackground\n\n\n\nThe rapid deployment of 5G infrastructure\, Internet of Things (IoT) devices\, smart buildings\, transportation\, and public safety data streams benefit communities across the country. However\, these technologies have created a flood of data and made it difficult for public safety leaders and individual first responders to use them. \n\n\n\nThe Smart Communities\, Smart Responders: An Artificial Intelligence for Internet of Things Prize Competition (AI3 Prize Competition) seeks to address this situation by accelerating the development of real-time data visualization with rapid IoT sensor integration\, accessing various IoT data streams delivered in usable formats. The objective is to help first responders solve complex problems by interoperating and integrating sensor information\, thus improving situational analysis and response time. \n\n\n\nTexas A&M University (TAMU) and US-Ignite invite members of the public to join the AI3 Prize Competition\, which is funded by the National Institute of Standards and Technology (NIST) Public Safety Communications Research Division (PSCR). The participants are expected to ingest the unknown data\, evaluate it based on metadata or other contextual information\, and categorize the data appropriately to utilize it on a situational awareness platform. A selected group of teams will have the opportunity to fully develop their solutions\, preparing for and competing in a final\, live test event at the Disaster City®. \n\n\n\n\n\n\n\nContest Overview\n\n\n\nThe AI3 Prize Competition consists of three phases. The key deliverable is a functioning system that can demonstrate end-to-end functionality with integrated operations by public safety professionals in a live exercise. \n\n\n\n\n\n\n\nObjectives\n\n\n\n\nIncreasing situational awareness for first responders and unit commanders\n\n\n\nIntegrating IoT sensor data into intuitive data visualization interfaces\n\n\n\nProviding access to segmented and operationalizable real-time data\n\n\n\nUsing AI to fuse\, align\, support\, or confirm data from multiple IoT real-time sources with pre-event data\n\n\n\nUsing IoT data and AI to alert or highlight status\, changes\, activities\, and events\n\n\n\nIngesting unknown data\, evaluating it based on metadata or other contextual information\n\n\n\n\n\n\n\n\nTechnologies\n\n\n\nThe participants must use non-proprietary\, open-source software for the development of their AI for IoT (AI3) system. The following is a list of technologies that are relevant to the competition.  \n\n\n\n\nInfluxDB Open-Source Time Series Database\n\n\n\nApache Storm\n\n\n\nMQTT – The Standard for IoT Messaging\n\n\n\nRecorded live and simulated sensor data\n\n\n\nData collection systems: While the exact sensors that will be used have not yet been determined\, examples of what might be expected can be found below:\n\nUnmanned Aerial Vehicles (UAVs)\n\n\n\nThermal Imaging Camera (TIC)\n\n\n\nGas Dosimeter Systems\n\n\n\nHeat Flux Measurement Gauges\n\n\n\nPersonal Alert Safety Systems including wearable health and location devices \n\n\n\nSurveillance/Video camera systems\n\n\n\nAcoustic sensor systems\n\n\n\nClimate and environmental sensors\n\n\n\nWearable health and location devices\n\n\n\nRecorded live and simulated sensor data\n\n\n\n\n\n\n\n\n\n\nPhases and Prizes Summary\n\n\n\n\n\n\n\nAdditional details can be found in the unofficial rules document here. \n\n\n\n\n\n\n\nWhy Participate\n\n\n\n\nWin cash prizes! Up to $360\,000 in cash prizes\n\n\n\nTravel to key events and visit world-class training facilities for first responders\n\n\n\nExpand your network in the public safety community\n\n\n\nTest solutions by the public safety community in staged emergency scenarios during the final live event\n\n\n\nReceive feedback from the industry and academic leaders\n\n\n\nIdentify data sources and Artificial Intelligence (AI) technologies to improve emergency responder capabilities\n\n\n\nIdentify technologies that improve the health and safety of emergency responders\n\n\n\n\n\n\n\n\nHow to Participate\n\n\n\n\nContestants will use the US Ignite website (this page) to enter and for updates about the Competition\, they will also be able to see competition rules on challenge.gov website. \n\n\n\nDirect your questions about the AI3 Prize Competition to ai3info@lists.tamu.edu. \n\n\n\nAttend the virtual kick-off webinars for each phase of the competition (At least one team member should attend) or attest to watching the recorded webinar.\n\n\n\nAll contestants must designate one individual to serve as their Official Representative and one individual to serve as an alternate to assume the role and requirements of the Official Representative if\, and only if\, the first individual has resigned from their role as Official Representative or has failed to respond to NIST\, TAMU\, or US-Ignite communications for a period of 30 consecutive days. \n\n\n\nSee Official Representative requirements detailed in the Terms and Conditions section. \n\n\n\nComplete the submission requirements for each phase and submit by the deadline (details of submission requirements for each phase can be found in the relevant section).\n\n\n\nContestants will be able to apply for Phase 2 as a “walk-on”\, even if they don’t submit a white paper for Phase 1. More details can be found here.\n\n\n\nUse the AI3 Competition page on the US Ignite website (this page) for submission of each phase requirement.\n\n\n\n\n\n\n\n\nEligibility\n\n\n\nDownload the unofficial rules document to review the eligibility criteria. \n\n\n\n\n\n\n\nQuestions\n\n\n\nDon’t hesitate to contact us with any questions! Email us at ai3info@lists.tamu.edu
URL:https://tamids.tamu.edu/event/ai-for-iot-information-ai3-competition/
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