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Learning in operation
Systems that keep learning while they run, without being taken offline and retrained.
Research and development
Brain-inspired computing for machines that think at the edge.
ChronoWerx Labs is a for-profit research and development lab working on artificial intelligence and neuromorphic computing.
What we build
ChronoWerx Labs develops cognitive architectures modeled on how the brain learns and remembers.
Our systems are designed to learn from a single experience, recall what they know from partial information, and focus on what matters in the moment. Like a human brain, they keep both short-term and long-term memory, and turn experience into lasting knowledge over time, without retraining. They are built to ground their statements in evidence they actually hold. They are designed to learn from feedback and from the results of their own actions.
Our work runs on local hardware and is being designed toward low-power neuromorphic chips. The goal is devices at the edge that keep learning and carrying out their tasks while disconnected, then share what they learned when the connection returns.
Research focus
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Memory and attention
Architectures modeled on how the brain stores, recalls and gives priority to what matters.
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Spiking neural networks
Computation carried by sparse, timed events, the way neurons signal.
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Edge cognition, low SWaP
Intelligence sized for devices with tight limits on size, weight and power.
Approach
We build it, run it and measure it.
Our ideas are tested in working software before we state them as results. A software prototype is in development. It is research software, not a product for sale.
Aim
Built for the hardest places to compute.
Our research is aimed at defense and aerospace systems that have to perceive, remember and decide at the edge, on little power and without a link to a data center.
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