EE - Testing Platform Design for Emerging Devices and Circuits
Project Title: Testing Platform Design for Emerging Devices and Circuits
Project Description:
This project focuses on developing a versatile testing platform with custom-designed PCBs to evaluate emerging memory devices, artificial intelligence (AI) computation circuits, and advanced technologies such as FerrorFET. The goal is to expedite the testing process for new devices by providing an adaptable, high-throughput platform that ensures accurate performance validation across various conditions. The platform will be designed for scalability and modularity to accommodate different device prototypes, ensuring flexibility and rapid testing.
Key aspects of the platform design will include support for complex signal routing, variable power supply, precise measurement instruments, and thermal management. It will enable efficient testing of device characteristics such as power consumption, latency, endurance, and error rates, crucial for memory devices, AI accelerators, and FerrorFET-based circuits.
Required Skills for PCB Circuit Design:
- Circuit Design & Schematic Capture: Proficiency in tools like Altium Designer or KiCad for complex analog and digital circuit design.
- PCB Layout & Routing: Experience with multi-layer PCB layout, high-speed signal routing, and thermal management.
- Testing & Debugging: Expertise in using oscilloscopes, multimeters, and signal analyzers for validation.
- Simulation & Modeling: Knowledge of SPICE or similar tools for circuit simulation and modeling.
- Prototyping & Fabrication: Skills in prototyping, including PCB fabrication and assembly.
- Emerging Device Knowledge: Familiarity with emerging memory technologies, AI computation hardware, and FerrorFET characteristics.
Expected Results:
- Validated Testing Platform: A robust and adaptable PCB platform for testing memory devices, AI computation circuits, and FerrorFET.
- Performance Data: Detailed performance metrics such as latency, power consumption, and endurance for the devices tested.
- Reduced Testing Time: A platform that accelerates testing and optimization, supporting quicker development cycles for new devices.
This platform will be an essential tool for advancing the development of next-generation memory devices and AI hardware.
Cutting-Edge Research Focus
The CSIR Lab is at the forefront of designing advanced circuits and systems for hardware-efficient machine learning. Their work spans across:
- Analog, digital, and mixed-signal circuits
- Machine learning architectures
- AI algorithms
This interdisciplinary approach combines traditional circuit design with modern AI techniques, creating a unique and innovative research environment.
Relevance to Human-AI Ecosystems
The lab's research is highly relevant to current technological challenges, addressing critical areas such as:
- Machine learning acceleration
- Security and privacy in AI systems
- Explainable AI
- Human-AI collaboration
These topics are of paramount importance as AI becomes increasingly integrated into various aspects of society.