Neuromorphic Computing and AI Quiz

What is the main difference between a CPU and the human brain in terms of learning and abstraction?

• CPUs excel at precise calculations, while the human brain is better at learning and abstraction.

• The human brain requires more examples to learn than a CPU.

• CPUs are better at learning from examples.

• The human brain is more efficient at performing calculations.

What is the primary goal of neuromorphic computing?

• To mimic the way neurons in the human brain work using hardware.

• To increase the speed of conventional CPUs.

• To create software that can learn without examples.

• To replace all existing CPUs with more powerful ones.

How do neuromorphic chips like TrueNorth and Loihi differ from conventional CPUs?

• They separate memory and computation.

• They interconnect transistors like neurons and do not use a clock for synchronization.

• They require more power than conventional CPUs.

• They use a clock to synchronize information.

What is a significant advantage of neuromorphic chips over traditional CPUs?

• They are easier to program.

• They are cheaper to produce.

• They have a higher data processing speed.

• They can solve problems like constraint satisfaction and optimization more efficiently.

Why are neuromorphic computers not expected to replace conventional ones soon?

• The necessary software to fully utilize them is still in development.

• They are not as fast as conventional CPUs.

• They are too expensive to produce.

• They consume too much power.