Z Advanced Computing, an artificial intelligence research company, has been awarded a $25 million sole-source contract by the US Air Force to develop its Cognitive Explainable Artificial Intelligence (CXAI) technology for autonomous driving applications.
The company describes CXAI as a brain-inspired approach it considers a prerequisite for achieving Level-5 fully autonomous driving, the industry classification for self-driving systems capable of operating under all roadway conditions without a human driver.
Z Advanced Computing said CXAI is designed to remove the need for remote human operators, geofencing, which restricts autonomous vehicles to mapped areas, and the large simulated training datasets typically required by conventional AI systems.
The company said its Concept-Learning algorithms can train from as few as five to 50 examples, compared with the thousands to billions of data points required by standard machine learning approaches.
Z Advanced Computing said the technology has previously been demonstrated on projects for the US Air Force and German appliance manufacturer Bosch-BSH, covering detailed three-dimensional image and object recognition from multiple viewing angles.
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The company said it holds more than 450 inventions, including 14 issued US patents, with development led by Dr Saied Tadayon.
Its advisory board includes Nobel laureate in physics Prof. David Lee, alongside Prof. Mory Gharib, Prof. Gholam Peyman and Prof. Mo Jamshidi.
The recap
- US Air Force awarded $25 million sole-source contract
- Company claims training with typically 5 to 50 samples
- Holds over 450 inventions, including 14 US patents