Basics
What does neuromorphic computing aim to mimic?
The human brain.
Name one field where neuromorphic computing is being used?
AI, Healthcare, robotics, self driving cars.
What is one major challenge in developing neuromorphic chips?
High cost and complexity in manufacturing.
What is the primary building block of neuromorphic systems that mimics brain activity?
Artificial Neurons.
How does neuromorphic computing benefit healthcare?
By assisting in diagnostics and pattern recognition.
Why is it hard to integrate neuromorphic systems into current computers?
They are designed differently from traditional architectures.
What do artificial synapses in neuromorphic chips simulate?
Connections between neurons in the brain.
Which type of AI task is neuromorphic computing especially good at?
Pattern Recognition
What technical barrier limits neuromorphic systems’ growth?
Scaling up the number of artificial neurons and synapses.
What term describes how neuromorphic systems process information simultaneously, like the brain?
Parallel Processing.
What kind of robotics is powered by neuromorphic chips?
AI robotics.
What is a major challenge in training neuromorphic systems?
Developing efficient learning algorithms.