Democratizing access to cutting-edge PoC-level research. Empowering tech and chip design roadmaps through collaborative, open-source knowledge sharing.
Esenet Research Group serves as a comprehensive open-source database platform, bridging the gap between academic innovation and industrial application.
We curate and share PoC-level research in electrical and computer engineering, specifically designed for industry professionals in tech, computer engineering, and chip design sectors. Our platform enables companies to access validated research concepts that can directly inform and accelerate their product development roadmaps.
All research freely available to the engineering community
Proof-of-concept level research ready for industrial application
Community-driven contributions and peer review
Novel neuromorphic processor design achieving 10x energy efficiency for real-time inference on edge devices. Includes HDL implementations and synthesis results.
Proof-of-concept implementation of surface code error correction for superconducting qubits. Python simulation framework with noise modeling included.
Beamforming algorithms optimized for millimeter-wave communications. MATLAB/Simulink models with hardware testbed validation on USRP platforms.
Hardware accelerator for convolutional neural networks achieving 200 GOP/s with optimized dataflow architecture. Verilog sources and Vivado project files.
Novel instruction set extensions for post-quantum cryptographic algorithms. RTL implementation with full toolchain support and performance benchmarks.
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