March 11, 2019
AIStorm introduces real-time AI-in-sensor solutions for driver assistance, mobile handsets, cameras and IoT.
“Many industry players are focused on deep submicron GPU/NPU-based solutions to accelerate AI at the edge,” says AIStorm CEO David Schie. “We believe that such solutions are not compatible with the real-time processing, power, and low-cost requirements of these applications,” said Schie. “Today, we are reshaping the landscape by enabling complete solutions that include a sensor, an analog front end, and AI processing at low cost, and suitable for even the smallest form factors — without the need to digitize input data.”
AI systems require information be available in digital form before they can process data; however, sensor data is analog. Processing this digital information requires advanced GPU/NPUs that are not suitable for mobile devices because they require continuous digitization of input data, which consumes power and introduces digitization delay (latency). AIStorm negates these disadvantages by processing sensor data directly in its native analog form—in real time—by using charge-domain processing instead of GPU/digital processing.
“As digital AI processing seems to reach its limits, the next generation of deep-learning systems will require analog AI cores. With our recent investment in AIStorm, we affirm our belief that the time is right for embedded analog AI-in-sensor technology, and that AIStorm technology is the right solution,” says Dr. Avi Strum, SVP/GM of the sensors business unit of TowerJazz. “The combination of TowerJazz’s rich imaging and non-imaging sensors technologies with AIStorm’s artificial intelligence core will provide unique solutions to the industrial, commercial, and automotive markets.”
Sources: Press materials received from the company and additional information gleaned from the company’s website.
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