3.6D Evolution of AI

Marvin Minsky

• Pioneer in AI and cognitive psychology.

• Famous physicist known for the theory of relativity.

• Renowned author of science fiction novels.

• Leading figure in the development of quantum computing.

AI in Education

• AI used for adaptive learning and tutoring systems.

• AI used for grading student assignments.

• AI used for creating educational content.

• AI used for managing school administration.

GPU Acceleration

• Use of graphics processors to enhance AI model training.

• A method to reduce the size of AI models.

• A technique for data preprocessing in AI.

• A way to increase the number of training epochs.

Dendral

• First expert system designed to analyze chemical compounds.

• A type of chemical compound used in organic chemistry.

• A software for managing chemical databases.

• A laboratory technique for synthesizing compounds.

Ray Kurzweil

• Predicted singularity would be reached by 2045.

• Believed AI would surpass human intelligence by 2030.

• Argued that technology would lead to human extinction by 2050.

• Claimed that virtual reality would become indistinguishable from real life by 2025.

Multiplicity

• AI replacing humans entirely.

• AI working alongside humans instead of replacing them.

• AI functioning independently without human input.

• AI enhancing human capabilities without collaboration.

AI Ethics

• Field concerned with ensuring responsible AI development and deployment.

• A branch of computer science focused on algorithm efficiency.

• The study of human behavior in relation to artificial intelligence.

• A set of guidelines for programming languages.

AI in Health Monitoring

• Use of AI in wearable devices for tracking health patterns.

• AI's role in drug discovery and development.

• AI's application in robotic surgery.

• AI's impact on patient data privacy.

Deep Learning

• Subset of ML using neural networks with multiple layers.

• A type of traditional programming that does not involve data.

• A method of data analysis that focuses on statistical models.

• A form of machine learning that only uses decision trees.

Pattern Recognition

• Identifying regularities and trends in data.

• Creating random data sets for analysis.

• Ignoring data trends to focus on anomalies.

• Using data to predict future events.