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Edge Computing
CBP s Industry Partnership and Outreach Program Office FY26 Office of Information and Technology ( OIT) - This Industry Day will be rescheduled for some time in the future due to the current funding lapse of the government. December 31, 2025 is just a place holder date. CBP
Industry Day for Office of Information and Technology
Bid Close Date:
Washington County Community College is requesting proposals from qualified vendors to supply, implement, and maintain an integrated all- in- one emergency management system, access control system, and AI camera system with gun and incident detection capabilities.
99 and incident detection 99 and incident detection e. g. , fights, smoke, violence, loitering, unauthorized intrusions, anomaly alerts, with immediate autotriggering of alerts to the ems. o edge computing for lowlatency processing to ensure rapid detection and response. o privacy controls e. g. , anonymization, audit logs compliant with regulations. o support for video storage e. g. , 30 days retention accessible via the unified cloud platform. estimated quantities based on campus needs: o 140 licenses for the ems o video feed licenses: up to 80 channels o access control door licenses: 14 with the ability to expand. o hardware: equivalent to 4door controllers and onpremises video processing units
Edge Computing
Mapping Machine Learning to Physics ( ML2P) - Machine learning ( ML) moves fast, but it needs power. More power than we have, and thats the problem. The Department of Defense faces additional constraints with ML deployments at the edge in resource- limited battlefield environments. The M
Bid Close Date:
Synopsis of Contract Action for Instrumentation Configuration, Management, Support and Development III - The Air Force Test Center ( AFTC), 412th Test Engineer Group, Edwards AFB, CA intends to award a sole- source contract to EMC Corporation to support the Instrumentation Loading, Integration, Analysis and Decommutation ( ILIAD), Cloud Hybrid Edge- to- E
Bid Close Date:
Edge Computing
Mapping Machine Learning to Physics ( ML2P) - Machine learning ( ML) moves fast, but it needs power. More power than we have, and thats the problem. The Department of Defense faces additional constraints with ML deployments at the edge in resource- limited battlefield environments. The M
Bid Close Date:
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