Building the lowest-power silicon for embedded deep learning andβ¦
Company is closed
Event Year: 2015
Company is closed
Event Year: 2015
Reduced Energy Microsystems (REM) was focused on developing highly power-efficient silicon solutions tailored for embedded computer vision applications. Their core innovation centered around integrating a unique asynchronous resilient technology with a custom-designed neural network architecture. This combination aimed to enable REM chips to efficiently manage both advanced inference tasks and conventional vision workloads, all while operating within a minimal power consumption profile. The company envisioned its technology empowering a new generation of intelligent devices, enhancing the capabilities of augmented reality systems, body-worn cameras, and autonomous robots by providing them with unprecedented visual processing power.
Reduced Energy Microsystems (REM) was focused on developing highly power-efficient silicon solutions tailored for embedded computer vision applications. Their core innovation centered around integrating a unique asynchronous resilient technology with a custom-designed neural network architecture. This combination aimed to enable REM chips to efficiently manage both advanced inference tasks and conventional vision workloads, all while operating within a minimal power consumption profile. The company envisioned its technology empowering a new generation of intelligent devices, enhancing the capabilities of augmented reality systems, body-worn cameras, and autonomous robots by providing them with unprecedented visual processing power.
Total Raised: Unknown (Y Combinator backed)
Last Round: Summer 2015
Total Raised: Unknown (Y Combinator backed)
Last Round: Summer 2015
Industrials
Industrials
Industrials -> Manufacturing and Robotics
Industrials -> Manufacturing and Robotics
Team size: 2
Hiring: No
Team size: 2
Hiring: No