lower latency, communication cost constraints, and concerns over data privacy.
A significant portion of the projected growth in this space is expected to come from always-on sensing applications that involve continuous monitoring of sensor data, and thus require energy-efficient processor chips that fit within the device. This is where Innatera finds that conventional processors and even other emerging accelerators fall short.
“The most impactful sensor-driven applications today are limited by the efficiency and speed of the processor, and this is more so in small, battery-powered devices than anywhere else. Innatera is reinventing processing for sensors by combining the energy efficiency of analog-mixed signal neuromorphic silicon with the performance gains of true spiking neural network algorithms, in a single integrated compute solution,” said Dr. Sumeet Kumar, CEO.
Innatera says it has been working with large international companies in the consumer, industrial, and automotive markets.
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