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01
Traditional computers separate CPU and RAM, creating a bottleneck. The human brain, however, processes and stores data in the same physical synapses. Copying this in silicon requires massive parallel architectures.
02
We are moving beyond simple classification tasks. Today's silicon neural systems are built for long-running agentic reasoning, mimicking human brain-stem loops and feedback control systems.
03
Convolutional neural networks and vision transformers mirror the layered structure of the human visual cortex, processing simple lines, shapes, and complex scenes progressively.
01
Traditional computers separate CPU and RAM, creating a bottleneck. The human brain, however, processes and stores data in the same physical synapses. Copying this in silicon requires massive parallel architectures.
02
We are moving beyond simple classification tasks. Today's silicon neural systems are built for long-running agentic reasoning, mimicking human brain-stem loops and feedback control systems.
03
Convolutional neural networks and vision transformers mirror the layered structure of the human visual cortex, processing simple lines, shapes, and complex scenes progressively.
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