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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