It is not unheard of for leaders to be on the wrong side of history.
It is predicted that 75% of all data will be produced at the Edge in the not too distant future and it is a constant refrain that the amount of data being created around the world will completely over whelm the web unless it can be intelligently processed at the point of acquisition to preserve bandwidth and minimise the costs of storing virtually limitless irrelevant data.
Those who still rant and claim that AKIDA technology is dead in the water when confronted with the overwhelming evidence that now exists are fully revealed as either manipulators, fools or both:
https://brainchip.com/edging-into-space/
Edging into Space
by Nick Destrycker, Founder and CEO at EdgX.
..., the demand for AI in space applications required a solution which is hyper-efficient, very compact and yet compellingly powerful, which drove us to focus on using neuromorphic principles because the brain is the most efficient inference and learning engine.
That’s where BrainChip comes in. Their event-based neuromorphic technology gives us the efficiency we are looking for to develop disruptive data-processing solutions for space.
The EDGX data processing units leverage BrainChip’s neuromorphic capabilities to enable:
event-driven onboard learning,
that is energy efficient,
low latency, and
modular
to overcome the challenges faced in the dynamic and challenging environments of space. As part of the EDGX-1’s DPU architecture, BrainChip can allow the platform to naturally support continual learning in ML models.
Through BrainChip’s neuromorphic capabilities, which are designed to mimic the neural structure of the brain, computations can be performed much faster and more efficiently than traditional computing platforms. This integration of brain-inspired technology into the EDGX-1 DPU enhances the system’s ability to handle AI applications that require real-time processing, low power consumption and high data bandwidth.
Communication satellites are yearning for increased flexibility and autonomy. Radio resources, such as bandwidth and transmission time must be thoughtfully assigned. Decisions will have to be made locally, in real-time, very efficiently, and very quickly – all of which are critical in these environments."
My opinion only DYOR
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