Swarm Intelligence and Computing Concepts

The video explores how algorithms inspired by nature enhance technology. It covers locality-sensitive hashing for image searches, convolutional neural networks for computer vision, anomaly detection using immune system principles, and swarm intelligence for distributed computing. These nature-inspired algorithms improve efficiency and accuracy in various technological applications.

What is an algorithm in the context of computing?

• A type of software application

• A programming language

• A set of calculations a computer follows to produce information

• A type of computer hardware

What is the main challenge of using locality-sensitive hashing for image searches?

• It can be slow and sometimes inaccurate

• It is too fast

• It is too expensive

• It requires too much memory

How do fly brains improve the process of locality-sensitive hashing?

• By ignoring similar inputs

• By using a smaller number of hashes

• By expanding data into a larger collection of numbers

• By using a different type of computer

What inspired the development of convolutional neural networks?

• Research on human brains

• Research on cat brains

• Research on bird brains

• Research on dog brains

What is a key feature of convolutional neural networks?

• They require manual feature specification

• They automatically learn templates from data

• They are only used for text processing

• They do not use layers

What is anomaly detection in network traffic?

• Deleting old data patterns

• Scanning for atypical data

• Creating new data patterns

• Identifying typical data patterns

How does the immune system inspire anomaly detection algorithms?

• By using negative selection

• By using positive selection

• By using random selection

• By using manual selection

What is stigmergy in the context of swarm intelligence?

• Indirect coordination through environmental cues

• Random movement of robots

• Centralized control of robots

• Direct communication between robots

What is the TERMES system inspired by?

• Bird flocks

• Termite behavior

• Bee hives

• Ant colonies

What is a criticism of nature-inspired computing?

• It is too simple

• It encourages unnecessary complexity

• It is too expensive

• It is not creative enough