At a Glance: Larry Smarr, Director of Calit2, discusses a new architecture for the next era of Learn about this groundbreaking hardware platform and its implications for

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Larry Smarr, Director of Calit2, discusses a new architecture for the next era of Learn about this groundbreaking hardware platform and its implications for Terrence Sejnowski, Francis Crick Chair, The Salk Institute for Biological Studies Dr.

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Terrence Sejnowski, Francis Crick Chair, The Salk Institute for Biological Studies Dr. In this workshop, we will show you how to move models from your favourite framework directly to neuromorphic hardware with 1-2 ...

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  • Larry Smarr, Director of Calit2, discusses a new architecture for the next era of
  • Terrence Sejnowski, Francis Crick Chair, The Salk Institute for Biological Studies Dr.
  • Learn about this groundbreaking hardware platform and its implications for
  • In this workshop, we will show you how to move models from your favourite framework directly to neuromorphic hardware with 1-2 ...

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Picture References

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Panel Discussion: Brain Inspired Computing

Panel Discussion: Brain Inspired Computing

Dr. Terrence Sejnowski, Francis Crick Chair, The Salk Institute for Biological Studies Dr. Horst Simon, Deputy Director, Lawrence ...

Panel discussion - From Principles to Practice: Scaling Neuromorphic Autonomy

Panel discussion - From Principles to Practice: Scaling Neuromorphic Autonomy

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The Next Horizon: Panel Discussion

The Next Horizon: Panel Discussion

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BI 180 Panel Discussion: Long-term Memory Encoding and Connectome Decoding

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Show notes: Patreon for full episodes and Discord community: ...

BI NMA 01: Machine Learning Panel

BI NMA 01: Machine Learning Panel

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TSP1 Neural Network Accelerator Chip: Advancing Brain-Inspired Computing

TSP1 Neural Network Accelerator Chip: Advancing Brain-Inspired Computing

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BI NMA 05: NLP and Generative Models Panel

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NIR: A Unified Instruction Set for Brain-Inspired Computing

NIR: A Unified Instruction Set for Brain-Inspired Computing

In this workshop, we will show you how to move models from your favourite framework directly to neuromorphic hardware with 1-2 ...

Brain-Inspired Computing

Brain-Inspired Computing

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BI 227 Decoding Memories from Connectomes

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