Innovating Mobile Network Solutions
Skylo Technologies conducts research on AI, ML, and mobile network security to identify innovation opportunities and develop frameworks for future systems.
About Skylo Technologies
We develop simulation models for mobile networks, integrating AI and ML to advance technology and address emerging challenges in telecommunications.
AI/ML Integration
In-depth research on AI/ML in mobile networks and security, identifying innovation opportunities and research gaps.
Conceptual Framework
Framework outlines AI/ML integration in mobile networks, guiding future research and experimentation efforts.
Simulation Models
Develop simulation models for future mobile networks, incorporating diverse traffic scenarios and network topologies.
AI Integration
In-depth review of AI/ML in mobile networks and security.
Future Framework
Build a national medical data platform, enforce unified data collection standards (such as ICD-11 coding, LOINC laboratory indicators), and use blockchain technology to achieve data traceability and access control. For example, the electronic medical record system adopts the CDA (Clinical Document Architecture) standard to ensure that images and test results across hospitals are interoperable.
Simulation Models
By integrating cutting-edge technologies such as generative AI, federated learning, and digital twins, clinical machine learning simulation models are evolving from single-function verification to full-process optimization. In the future, we need to focus on breakthroughs in the depth of medical knowledge modeling, the consistency of simulation and real data, and ethical governance of cross-institutional collaboration, and ultimately achieve a closed loop of "virtual testing - clinical verification - continuous optimization" to promote precision medicine from concept to universal access.