Interested in a hands-on learning experience for developing LLM applications?
Join our LLM Bootcamp today and Get 30% Off for a Limited Time!
Interested in a hands-on learning experience for developing LLM applications?
Join our LLM Bootcamp today and Get 30% Off for a Limited Time!
AI experts often overlook the constraints of embedded systems, making it challenging to fit a conventional model into a tiny device. Typical embedded constraints include limited computational resources and power.
To address these, we reduce the complexity of the deep net inference engine by minimizing intra-network connectivity, eliminating floating-point data, and using only accumulation operations.
These small-footprint, low-latency deep nets are suitable for applications in IoT smart sensors measuring inertial, vibration, temperature, flow, electrical, and biochemical data in battery-powered endpoints. Applications include healthcare and industrial wearables, robots, and automotive systems.
CEO at Infxl
We are looking for passionate people willing to cultivate and inspire the next generation of leaders in tech, business, and data science. If you are one of them get in touch with us!