The automobile industry has arrived at a crossroads. The transition to electric vehicles (EV) and the vitalized development of fully-autonomous vehicles (AV) has placed a big burden on fitting extraordinary amounts of computational power for artificial intelligence within the energy budget of batteries without affecting range. While battery technology is improving slowly, advances in compute efficiency have stalled as mere Moore's Law scaling of computational architectures from the past are nearly at an end. Recogni, with its unique approach to designing a vision-oriented inference artificial intelligence system from the ground up as a holistic module, will deliver unprecedented inference performance at more than 500x better power efficiency compared to other solutions, enabling novel edge processing at multiple points on vehicles to naturally offload central processing needs.
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