**How biological computing can make robotics more adaptable, faster to train and dramatically more power efficient.**
In this episode, Justin Bourke, Scientific Systems Integration Manager at Cortical Labs, joins Shane and Paul to explore biological computing and how human neurons on a chip could complement conventional AI and silicon computing.
We cover:
- How biological computers use human neurons on electrode arrays to process information, learn and adapt.
- Why biological networks could help robotics adapt when environments and conditions change.
- How the CL1 platform combines biology, hardware, software, networking and perfusion technology, with systems available remotely through the cloud.
- Why low power consumption and limited heat generation could make biological computing valuable alongside conventional AI infrastructure.
- How biological computing is being explored across robotics, pharmaceutical research, automotive, aerospace and finance applications.
Whether you're a manufacturer, engineer or technology leader, this episode offers a practical look at an emerging Australian technology and where biological and silicon computing could work together.
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