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Global Edge AI & Silicon Interconnect Symposium

Exploring the Frontier of Sub-15-Watt Edge Inference

The Global Edge AI and Silicon Interconnect Symposium convenes hardware architects, robotics systems engineers, and neural compiler developers to explore high-throughput reasoning deployed directly onto resource-constrained physical endpoints.

As autonomous industrial fleets and sovereign medical systems demand local physical reasoning without cloud egress roundtrips, the symposium focuses on the co-design of silicon topology, ternary quantization formats, and memory-coherent buses.

Symposium Sessions & Live Demonstrations

Attendees will experience real-world benchmarks, hardware demonstrations, and technical teardowns including:

  • Heterogeneous SoC Architecture: Integrating low-power RISC-V control cores with systolic matrix accelerators on unified memory pools.
  • Non-Volatile In-Memory Compute: Reducing energy consumption per inference pass by executing weights directly within resistive RAM arrays.
  • Thermal Envelopes & Acoustic Limits: Engineering passively cooled ruggedized nodes capable of continuous 32B model inference in demanding industrial environments.

Exhibition Hall & Silicon Clinics

The interactive exhibit hall features reference prototype boards from leading foundries, accompanied by hands-on firmware toolchain clinics allowing engineers to flash and evaluate custom quantized neural kernels in real time.

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