Edge computing is the new paradigm of cloud decentralization for digital IoT business, crucial in the presence of specific requirements for latency, bandwidth, autonomy, privacy, and security.

  • In-house data scientists and machine-learning engineers
  • In-house embedded application engineers
  • Development of ad-hoc solutions and support for integration with custom software and hardware
  • Development of localhost applications and services with human-centered design methodologies and a UX design team
  • Artificial intelligence and machine learning applications with an agnostic approach to modeling framework and hardware
  • Experience in modeling and machine learning application in contexts ranging from low-power microcontrollers to CPU/GPU/FPGA and accelerators
  • Partnerships with research centers and universities
  • Participation in European innovation programs for new high-performance, energy-efficient SoC architectures

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