There was a few posts in the other thread discussing Intel's money and size and comparing it to BrainChip. There was a suggestion that David had no chance of beating Goliath. I wanted to bring a few points together to make our first mover advantage obvious enough to understand the headstart we have over these giants and also the fact that we are already 'stealing' customers.
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IBM TrueNorth Recently it was brought to our attention that
Information Systems Lab was utilising Akida for their A.I based radar applications. I am fairly certain I have uncovered the related research project and affiliations here in this thread:
AFWERX Agility Prime – A New Era of Aerospace What is interesting, is that the AFRL has been working with IBM's TrueNorth for many years. eg. https://www.datacenterdynamics.com/en/news/us-air-force-ibm-unveil-worlds-largest-neuromorphic-digital-synaptic-supercomputer/ There is some other research related to using TrueNorth with radar applications, so this means that the AFRL understand exactly what TrueNorth is capable of.
https://ieeexplore.ieee.org/abstract/document/8916311 Low Power Computing and Simultaneous Electro-Optical/Radar Data Processing using IBM’s NS16e 16-chip Neuromorphic Hardware with all authors having affiliations with
Air Force Research Laboratory Information Directorate, Rome, USA So there has been a conscious decision made to step away from TrueNorth - at least for this specific application. Its important to remember that TrueNorth was DARPAs baby.
My question is: Can we now assume that
all projects that have been utilising TrueNorth within the AFRL are going to be shifted over to the commercially ready Akida architecture - given the obvious advantages that Akida offers over TrueNorth?
Specifically I am thinking of this project from the AFRL:
VIDEO VIDEO This is a project I am watching closely.
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Intel Loihi Watching the neuromorphic patents closely, I noticed that during the application process for Intel's neuromorphic keyword spotting patent, they had actually been knocked back for a couple of very important features - the patent officer had referenced BrainChip's own keyword spotting patent.
You can follow the links to global dossier to read the complete back and forth, but here is a summary:
https://patents.google.com/patent/US10403266B2/en Detecting keywords in audio using a spiking neural network Current Assignee Intel Corp Abstract An example apparatus for detecting keywords in audio includes an audio receiver to receive audio comprising a keyword to be detected. The apparatus also includes a spike transducer to convert the audio into a plurality of spikes. The apparatus further includes a spiking neural network to receive one or more of the spikes and generate a spike corresponding to a detected keyword. https://patents.google.com/patent/US10157629B2/en Current Assignee Brainchip Inc Abstract The present invention provides a system and method for controlling a device by recognizing voice commands through a spiking neural network. The system comprises a spiking neural adaptive processor receiving an input stream that is being forwarded from a microphone, a decimation filter and then an artificial cochlea. The spiking neural adaptive processor further comprises a first spiking neural network and a second spiking neural network. The first spiking neural network checks for voice activities in output spikes received from artificial cochlea. If any voice activity is detected, it activates the second spiking neural network and passes the output spike of the artificial cochlea to the second spiking neural network that is further configured to recognize spike patterns indicative of specific voice commands. If the first spiking neural network does not detect any voice activity, it halts the second spiking neural network https://www.zdnet.com/article/intel-releases-new-benchmarks-progress-on-loihi-neuromorphic-computing-chip/ Intel, partners make new strides in Loihi neuromorphic computing chip development Since its launch in 2018, the INRC has signed up over 100 members including Accenture, Airbus, GE, Berkeley, and Washington State University. Now, Lenovo, Logitech, Mercedes-Benz https://www.pymnts.com/commerce-connected/2022/in-car-voice-makes-itself-heard-at-ces/ In-Car Voice Makes Itself Heard at CES The second voice-related technology previewed by Mercedes-Benz features neuromorphic computing, a form of information processing that reduces energy consumption, and AI software and hardware from BrainChip that is five to 10 times more efficient than conventional voice control 
(20min delay)
