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DeepSouth AI

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DEEPSOUTH AI

An innovative system that utilizes neuromorphic computing to develop an AI
application with multiple functions.

While incorporating traditional elements of programming, our system is
fundamentally built on a range of advanced supervised and unsupervised training
algorithms.



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PARALLEL PROCESSING

Every neuron and synapse functions autonomously and simultaneously, working
alongside others. By distributing tasks among many neurons and synapses,
neuromorphic systems avoid overburdening any single processing unit with too
many tasks.






UNIFIED MEMORY AND PROCESSING

Memory and processing functions are unified within a single component, where
both neurons and synapses are responsible for data processing and storage tasks.
This unification helps to overcome von Neumann bottlenecks.






SCALABILITY

Neuromorphic systems possess an intrinsic ability to scale. Upgrading
neuromorphic systems can be straightforwardly achieved by programming additional
virtual neurons and synapses.






EVENT-DRIVEN COMPUTATION

Neuromorphic systems become active only when there is a need for computation and
the necessary data is present. Neurons and synapses in these systems are engaged
solely when there are spikes, or data events, to process.






STOCHASTICITY

The autonomous functioning of neurons and synapses in neuromorphic systems leads
to a level of unpredictability. This randomness is not just a challenge but also
a feature that closely mimics the probabilistic behavior of biological neural
networks.



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