Ann: Unsupervised Visual Learning Achieved, page-2

BrainChip Holdings Limited (“BrainChip” or “the Company”) is pleased to report that it has achieved a further significant advancement of its artificial intelligence technology.

The R&D team in Southern California has completed the development of an Autonomous Visual Feature Extraction system (AVFE), an advancement of the recently achieved and announced Autonomous Feature Extraction (AFE) system. The AVFE system was developed and interfaced with the DAVIS artificial retina purchased from its developer, Inilabs of Switzerland. DAVIS has been developed to represent data streams in the same way as BrainChip’s neural processor, SNAP.

Highlights 
1.Capable of processing 100 million visual events per second 
2. Learns and identifies patterns in the image stream within seconds – (Unsupervised Feature Learning)
3. Potential applications include security cameras, collision avoidance systems in road vehicles and Unmanned Aerial Vehicle’s (UAV’S), anomaly detection, and medical imaging 
4. AVFE is now commercially available 
5. Discussions with potential licensees for AVFE are progressing