Recent innovation from SAP NS2 Labs
In scenarios as diverse as electronic components, 5G implementations, and medical supplies, customers are increasingly focused on securing their supply chains. This involves everything from understanding ownership of individual companies, to identifying suppliers down the chain from the purchasing company, to being able to track components at each step of the shipping and implementation process.
To tackle this challenge, SAP NS2 Labs conducted a virtual hackathon with Gray Analytics. The outcome: a new capability to secure supply chains by helping to track and identify the source of every component in an organization’s systems
SAP NS2 Labs sponsors several academic institutions and STEAM efforts. The University of Colorado Boulder is sponsored to participate in Designing for Defense (D4D). D4D works multiple problems in the DoD space, rotating the problem sets each semester. They also sponsor high school science fairs and robotics teams. In regard to the “A” in steam, SAP NS2 Labs sponsors and showcases digital art projects. NS2 Labs commitment to STEAM extends beyond the outputs produced by the University of Colorado Boulder – we are committed to working with and developing the next generation of brilliant minds to power customer solutions.
SAP NS2 focuses on a range of IoT implementations, including security and the threat of attackers gaining physical access. With a focus on open architectures and integration at the edge, SAP NS2 rapidly integrates a wide variety of sensors to detect and track movement through a campus. Combined with industry-leading SAP database and machine learning capabilities, SAP NS2’s IoT platform detects deviations from “normal” patterns and automatically alerts facility security personnel of potential issues.
SAP NS2 also partners with SafePass to showcase SafePass technology and tie into other IoT devices for COVID related tracking and monitoring. SafePass develops digital, reusable, and smart-tracking visitor badges for access oversight to every aspect of a facility. Combined with temperature and environmental inputs, the system can facilitate awareness and contact tracing.
SAP NS2 and Intel are building a field-deployable platform with hardened security to perform real-time entity detection, classification, and geo-temporal correlation of objects from full motion video. The field deployable platform uses AI to fuse exploited video image data with RF signals, message traffic and social media to automatically deploy Unmanned Aerial Vehicles (UAVs) and trigger operator alerts.
SAP NS2 and Intel are building a field-deployable platform with hardened security to perform real-time entity detection, classification, and geo-temporal correlation of objects from full motion video. The field deployable platform uses AI to fuse exploited video image data with RF signals, message traffic and social media to automatically deploy Unmanned Aerial Vehicles (UAVs) and trigger operator alerts.
SAP NS2 is the key software developer for the Look Dynamics’ Photonic Neural Net (PNN). Unlike common Neural Net systems’ exclusively digital approach, the PNN utilizes digital, analog and photonic elements to their best advantages. The PNN achieves significant speed enhancements by processing optically – literally at the speed of light. The PNN utilizes much less power by employing analog storage and processing elements. As a result, data centers can deploy AI at greater speed, with less power, and a significantly reduced footprint.
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