AI in Archaeology Quiz

What was i talkinng about till now

• DIDDY

• ARCHEOLOGY

• CATS

• BEYONCE

What is one of the primary benefits of using AI in archaeology?

• It eliminates the need for fieldwork.

• It enhances the speed and accuracy of data analysis.

• It replaces human archaeologists entirely.

• It focuses solely on historical texts.

Which AI technology is primarily used for analyzing visual information from excavation sites?

• Predictive Modeling

• Natural Language Processing

• Computer Vision

• Machine Learning

What does predictive modeling in archaeology help researchers do?

• Create 3D models of ancient structures.

• Identify potential archaeological sites based on data patterns.

• Classify artifacts based on material.

• Translate ancient languages.

Which technology is used to penetrate vegetation and reveal hidden archaeological structures?

• Aerial photography

• Ground-penetrating radar

• Satellite imagery

• LiDAR (Light Detection and Ranging)

What ethical consideration is important when applying AI in archaeology?

• Ensuring data quality and avoiding biases

• Reducing costs of research

• Increasing excavation speed

• Automating all processes

Which of the following is a case study mentioned in the presentation that utilized AI for site detection?

• The analysis of ancient texts using NLP

• The classification of pottery shards using CNNs

• The Virtual Pompeii Project

• University of California's Predictive Modeling Project

In what way does AI assist in virtual reconstruction of archaeological sites?

• By predicting future archaeological finds

• By automating excavation processes

• By translating ancient scripts into modern languages

• By creating detailed 3D models from fragmented remains

What role does interdisciplinary collaboration play in the use of AI in archaeology?

• It complicates research processes.

• It limits the application of technology.

• It fosters innovation and improves research methodologies.

• It focuses solely on technical aspects.

Which machine learning technique is commonly used for artifact classification?

• Decision Trees

• Convolutional Neural Networks (CNNs)

• Support Vector Machines (SVM)

• Linear Regression