Analog's Mechatronics Engineer: Hardware Powering AI Inference | Researcher Conversations at GTC

Summary

Jordan Nanos interviews Mishek Musa, a mechatronics engineer at Analog Devices, about their emerging tech hub's work on tactile sensing, robotics benchmarks, and edge computing. The discussion focuses on using precise sensors for data center maintenance and open-source benchmark platforms to advance robotic manipulation. No investment ideas or tradable expressions are discussed.

• Analog Devices' emerging tech hub focuses on system-level robotics and edge computing.
• A multimodal fingertip sensor combines force, pressure, accelerometer, and vibration feedback.
• The sensor is designed for delicate tasks like fiber connector maintenance in data centers.
• A physical open-source benchmark board set will test cable harness and gearbox assembly tasks.
• High-fidelity simulation assets aim to reduce the sim-to-real gap for robotics training.
• The team co-innovates with partners to integrate existing semiconductor technologies.
• Edge computing team distills large AI models for power-efficient deployment on robots.
• No investment recommendations or tradable assets are mentioned in the conversation.