Qualcomm research could lower the barriers to visual AI everywhere

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Demand is growing for AI solutions that process images from cameras and other photo sensors. These solutions have applications in security, autonomous vehicles, healthcare, smart cities, and many other areas, but the more advanced they become, the more computationally intensive they get. So creating more efficient AI computational devices is a necessity for advancing the field.

Chip maker Qualcomm held a series of briefings late last month that point to a solution on this front. The company discussed an R&D project it has undertaken to reduce the amount of compute necessary to do visual AI, and thus create chips that are smaller, more cost effective, and use less power.

The techniques it is implementing include creating methods to eliminate redundant information