AI assisted semiconductor and electronic system design optimization - ON-999

Project type: Research
Desired discipline(s): Engineering - computer / electrical, Engineering, Computer science, Mathematical Sciences, Operations research
Company: AsterQuanta Solutions Inc.
Project Length: 4 to 6 months
Preferred start date: As soon as possible.
Language requirement: English
Location(s): ON, Canada
No. of positions: 1
Desired education level: Master'sPhD
Open to applicants registered at an institution outside of Canada: No

About the company: 

Asterquanta (AQ) is an Ontario based startup working at the cross-section of AI and Semiconductor Design. Our vision is to democratize Semiconductor design using AI. Our offering is a digital genie (DGenie) - an AI powered Semiconductor design assistant to lower the entry barriers for anyone, anywhere to optimize electronic circuits.

DGenie with advanced AI techniques helps to automate and optimize the design of complex electronic systems and integrated circuits, significantly enhancing efficiency and performance of electronic systems and circuits while reducing time to market and overall costs. DGenie is a web-based platform that provides hosting of AI backed Semiconductor and Hardware Designs and Collaboration. It allows multiple people to work together on electronic design projects from anywhere in the world. DGenie uses a Git-like distributed control system enabling the simultaneous simulation and co-development of electronic system designs across tools, with AI assistants.

Describe the project.: 

DGENIE integrates advanced AI techniques to automate and optimize the design of complex electronic systems, significantly enhancing efficiency and performance while reducing time to market and overall costs.

  1. AI Based Design Optimization: DGENIE offers AI techniques to automate and optimize the design of complex electronic systems, significantly enhancing efficiency and performance while reducing time to market and overall costs.
  2. Automated Optimization: AI algorithms automatically optimize designs for power, performance, and area (PPA), enabling designers to achieve superior results faster than traditional methods.
  3. Rapid Prototyping: The platform speeds up the iteration process, allowing for quick prototyping and testing of design changes, thereby accelerating the overall design cycle.
  4. Predictive Analysis: By leveraging predictive analytics, the platform can foresee potential design issues, such as bottlenecks or performance limitations, and suggest corrective actions early in the design process.
  5. Scalability: DGENIE supports designs of varying complexities, from small-scale integrated circuits to large, system-level hardware designs, making it versatile for a wide range of applications.
  6. Integration with EDA Tools: DGENIE seamlessly integrates with existing Electronic Design Automation (EDA) tools and workflows, enhancing productivity without disrupting established processes.

In essence, DGENIE exemplifies how AI can revolutionize hardware design, offering significant advancements in optimization, efficiency, and innovation. It stands as a testament to the transformative potential of AI in enhancing the capabilities and outcomes of hardware design projects.

Required expertise/skills: 

  1. Reinforcement Learning – Nested RL and any advanced algorithms
  2. Advanced AI design (Supervised and Unsupervised)
  3. Machine Learning, Data Science, Visualization
  4. Python, PyTorch, TensorFlow, GYM environment.
  5. Some background in semiconductor and elecronic system design helps but is not required.

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