Biochips for future AI computers

Biochips for future AI computers

Historically, researchers developed AI computational approaches to emulate the human brain. These non- von Neumann type computational approaches are currently operated with silicon-based chips (GPUs, for example), but they can be energy-intensive. In the future, we envision that AI computational devices could be made with living brain organoids, potentially making them more energy efficient. As part of a team effort at Johns Hopkins University to develop Organoid Intelligence (OI), we have designed, fabricated, and operated the first 3D integrated shell microelectrode neural electrode interfaces that mimic microscale-EEG caps. They are scalable, mass-producible, biocompatible, and facilitate 3D spatiotemporal stimulation and recording with facile media change and long-term operation. We have achieved 3D spatiotemporal neuromodulation and created shells with microfluidic/electrical functionalities. We envision these biochips as the central building blocks of future energy-efficient AI computers and are developing these platforms to enable stimulus discrimination and reinforcement learning for real-world AI applications.

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  • Organization
    Johns Hopkins University
  • Profession
    3D microinstrumentation for biocomputing with brain organoids