Join host Ryan Cole as he cuts through AI hype to reveal the mathematical machinery behind it all—tensors. From autonomous vehicles to GPU architectures and supercomputing, this series explores the real hardware and math powering modern AI systems, no hand-waving allowed.

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Ryan Cole explores THOR, a Los Alamos framework using tensor networks to compress materials science simulations, achieving 400x speedups over traditional supercomputers. What took thousands of hours now resolves in seconds, democratizing computational physics and enabling rapid materials discovery for aerospace, energy, and defense applications.

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This content was created in partnership and with the help of Artificial Intelligence AI

This episode includes AI-generated content.

Join Ryan Cole as he unpacks tensors—the multi-dimensional arrays powering every AI system. From image classification to autonomous vehicles, discover how this fundamental data structure shapes GPU performance, enables massive-scale models, and bridges theory to real-world production systems.

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This content was created in partnership and with the help of Artificial Intelligence AI

This episode includes AI-generated content.

Ryan Cole explores Tensor's autonomous vehicle with 37 cameras, five lidars, eleven radars, and eight NVIDIA processors delivering 8,000 TOPS. Processing 53 gigabits per second, this San Jose startup's design features maximum-sensor autonomy with triple-layer safety redundancy.

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This content was created in partnership and with the help of Artificial Intelligence AI

This episode includes AI-generated content.