Computer Vision
Machine Learning
Data Science
Gen AI
Networks and EW
100

This is the primary light colors.

what is Red, Green, Blue?

100

This type of machine learning uses labeled data, where the correct answers are known, to train a model.

What is Supervised Learning?

100

This type of data science problem predicts a continuous numeric value, like a student’s final exam score or the temperature tomorrow.

What is Regression?

100

This term describes when an AI generates false or invented information that is not in the source data.

What are Hallucinations?

100

When monitoring a basic pulse radar with an EM receiver, these three key parameters help you understand the signal: its length, how often it repeats, and the frequency it uses. 

What are Pulse Width, Pulse Repetition Rate, and Carrier Frequency?

200

DARPA's challenge used this to self drive cars.

What is computer vision?

200

This type of machine learning finds hidden patterns or groupings in data without any labels or predefined outcomes.

What is Unsupervised Learning?

200

This algorithm classifies data by comparing it to its nearest neighbors.

What is the K-Nearest Neighbors (KNN) algorithm?

200

This is the input text, question, or instruction that guides a generative AI to produce a response.

What is a Prompt?

200

This type of network is like the office where the boss never leaves their chair: every decision and message has to go through one central person.

What is a Centralized Network?

300

These are used to see the environment and feed it back as electrical impulses to a computer.

What is a sensor?

300

In this type of machine learning, an agent learns through trial and error to maximize rewards or achieve a high score.

What is Reinforcement Learning?

300

This type of problem groups data into categories based on similarity, without knowing the labels beforehand, like grouping customers by shopping behavior.

What is Clustering?

300

If an AI model is trained mostly on text from one region or demographic, it may produce outputs that favor that perspective. This type of bias comes from the data the model learns from.

What is Bias in the training data?

300

This tells you how often radar pulses are sent per second, kind of like how frequently a strobe light flashes at a dance party.

What is Pulse Repetition Rate?

400

These are the main components of a feedback loop used in control systems.

What are the Input, Controller, Actuator, Plant, and Sensor?

400

This is the name for an input variable that is observable and quantifiable for making predictions.

What is a Feature?

400

In a feedback loop, this component would use a neural network to make decisions.

What is the Controller?

400

These are the smallest pieces of text processed by a language model, such as words, parts of words, or punctuation marks.

What are Tokens?

400

Imagine a group of village elders each controlling their own neighborhood but staying in touch to coordinate. That’s this type of network.

What is a Decentralized Network?

500

This method estimates the motion of objects between consecutive frames in a video based on the apparent movement of brightness patterns.

What is Optical Flow?

500

This term describes one complete training pass over a dataset where weights are updated.

What is an Epoch?

500

A farmer wants to predict if a new animal is a Goat, Mule, or Falcon based on size, weight, and ear/wing measurements. Using KNN with K = 7, the 7 nearest neighbors include: 5 Goats, 1 Mule, and 1 Falcon.

Clue: How will KNN classify this animal?

What is Goat, because the majority of nearest neighbors are Goats?

500

When the annotations or labels in a dataset reflect human errors, subjectivity, or stereotypes, the AI can learn incorrect patterns. 


What is Bias in the prompt?

500

This radar characteristic tells you how long each radar pulse lasts, like the length of a flashlight beam turned on and off very quickly.  

What is Pulse Width?  

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