Artificial Intelligence & Machine Learning (CpE 10)

Flashcards covering the foundational concepts, historical context, types, and ethical considerations of AI and Machine Learning as presented in the lecture notes.

Artificial Intelligence refers to the ability of machines or computer systems to perform tasks that normally require __________.

human intelligence

The birth of artificial intelligence is associated with the Dartmouth Conference held in the year $$.

1956

The pioneers listed for the 1956 Dartmouth Conference include John McCarthy, Marvin Minsky, Allen Newell, and __________.

Herbert Simon

The 1980s saw the rise of __________, which are rule-based AI for specific tasks.

expert system

The boom of machine learning and deep learning occurred during the decade of the __________.

2010s

__________ is a subset of AI that focuses on the development of algorithms and models that enable computers to learn from data.

Machine learning

The three identified types of machine learning are Supervised Learning, Unsupervised Learning, and __________.

Reinforcement Learning

Five roles of data in machine learning include Training, Testing and Evaluation, Future Engineering, Anomaly Detection, and __________.

Data Augmentation

In the Field of __________, AI is used for predicting disease outcomes.

HEALTHCARE

Algorithmic Securities Trading is a machine learning case study sample in the field of __________.

FINANCE

In Manufacturing, AI provides __________ for maintenance.

Predictive Tools

By the year $$, radiologists and healthcare professionals employed deep learning algorithms to analyze medical images.

2025

In $$, a smart grid system utilized AI to optimize energy consumption in urban areas.

2035

By using __________, a 2040 chatbot was able to understand and respond to customer queries.

natural language processing

Ethical AI requires addressing and mitigating __________ to ensure systems are fair and equitable.

bias

Data protection in AI involves ensuring __________ about how data is collected, used, and stored.

transparency

In the deployment stage of Data Preparation, tasks include collection, cleaning, preprocessing, and __________.

labeling and annotation

Assessing model performance includes measuring accuracy, __________, and recall.

precision

Preparing for the future with AI involves five key considerations: Education and Skills Development, Data Management and Security, Ethical and Responsible AI, AI Integration and Talent, and __________.

Innovation and Culture