DingoBorat
Slim
"based on a predefined set of training data comprising approximately one million food photographs"Couple of dots for CES and 4 years in the making perhaps.... may have already been linked prior so apologies in advance if that's the case.
https://www.biometricupdate.com/202...sing-capabilities-opens-developer-environment
BrainChip has demonstrated the capabilities of its latest class of neuromorphic processing IP and Device in two sessions at the tinyML Summit at the Samsung Strategy & Innovation Center in San Jose, California, the company announced.
“We recognize the growing need for low-power machine learning for emerging applications and architectures and have worked diligently to provide a solution that performs complex neural network training and inference for these systems,” said in a prepared statement Louis DiNardo, CEO of BrainChip. “We believe that as a high-performance and ultra-power neural processor, Akida is ideally suited to be implemented at the Edge and IoT applications.”
In a session titled “Bio-Inspired Edge Learning on the Akida Event-Based Neural Processor,” BrainChip rolled out a demo of how the Akida Neuromorphic System-on-Chip processes standard vision CNNs using industry standard flows and distinguishes itself from traditional deep-learning accelerators through key features of design choices and bio-inspired learning algorithm. As a result, Akida takes up 40 to 60 percent less computations to process a CNN compared to a DLA.
https://news.samsung.com/global/sam...ble-expansive-kitchen-experiences-at-ces-2024
AI Features That Enable Food Ideas and Intelligence
To enhance the experience in the kitchen, the 2024 Bespoke 4-Door Flex™ Refrigerator with AI Family Hub™+ has been packed with a variety of innovative technologies. One impressive new feature is AI Vision Inside, which uses a smart internal camera that can recognize items being placed in and out of the refrigerator. Also, it is equipped with “Vision AI” technology, which can identify up to 33 different fresh food items based on a predefined set of training data comprising approximately one million food photographs.2 With the food list that is available and editable on the Family Hub™+ screen, users can also manually add expiration date information for items that they would like to keep track and the refrigerator sends out alerts through its 32” LCD screen for items before reaching that date.
What are your thoughts on the size of the data set @Diogenese ?
To me it seems too large, to have anything to do with AKIDA, but how is a "zoo" or library, created for use by AKIDA?
It would take more training, to identify say stiff celery, from floppy celery..
Children please
