VectorWave Raises $2.5M to Redefine the Potential of the Electromagnetic Spectrum
(https://www.science.org/doi/10.1126/sciadv.adt3558), introducing the world's first hardware accelerator that performed AI inference on raw radio frequency signals without pre-processing or digitization. This AI hardware accelerator, called MAFT-ONN (Multiplicative Analog Frequency Transform Optical Neural Network), exploits the physics of analog components to implement a number of fully-programmable signal processing functionalities. Among other capabilities, MAFT-ONN demonstrated signal classification of RF modulations schemes with 120 nanosecond time-of-flight latency and 85% single-shot accuracy that can quickly converge to 99%.
VectorWave is also led by founding advisor Dr.
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SOURCE VectorWave
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