10 Questions
Which method has become the dominant approach in tackling AI problems from 1990 to the present?
Machine Learning
What is a key feature of Machine Learning that has made it a popular approach in recent AI advancements?
Capability to learn from data
Which technique has made a resurgence in AI, especially with the development of the backpropagation algorithm?
Deep learning
What is a characteristic of Artificial Intelligence becoming more 'scientific' in recent years?
Use of probability to model uncertainty
Which technology has greatly contributed to the advancement of Machine Learning due to its availability and computational power?
GPUs
What is a key advantage of Machine Learning as compared to early Logic-based AI programs?
Ability to handle uncertainty
'Back propagation algorithm' is primarily associated with the resurgence of which AI technique?
Deep learning
'Artificial General Intelligence' aims to solve multiple tasks and is foundational to models like LLM. What does LLM stand for in this context?
Large Language Models
'AI Singularity' refers to a hypothetical future point when AI will surpass human intelligence. What stage does this concept represent?
'Artificial Superintelligence'
What method has become dominant in tackling AI problems from 1990 through the present?
Machine learning
Study Notes
Artificial Intelligence
- AI can assist with various tasks, such as sending emails, making appointments, finding restaurants, and providing weather updates, leveraging deep neural networks for speech recognition and natural language understanding.
Applications of AI
- Natural Language Processing (NLP): email applications, chatbots (e.g., ChatGPT)
- Computer Vision:
- Face detection: Viola-Jones method, YOLO deep learning model, Faster RCNN, Vision Transformers
- Image Generation: Generative Adversarial Networks, Variational Auto-Encoders, Diffusion models
- Autonomous Driving: DARPA Grand Challenge (2005, 2007, 2009), Google self-driving car
- Other applications:
- Speech recognition
- Autonomous planning and scheduling
- Financial forecasting
- Game playing, video games
- Spam fighting
- Logistics planning and Robotics
- Machine translation
- Information extraction
- VLSI layout
- Automatic assembly
- Sentiment analysis and applications
- Fraud detection
- Recommendation systems
- Web search engines
- Energy optimization
- Question answering systems
- Social network analysis
- Medical diagnosis and imaging
- Route finding
- Traveling salesperson problem
- Protein design
- Document summarization
- Transportation and scheduling
- Computer animation
Machine Learning
- Types of Machine Learning:
- Supervised learning: classification and regression
- Unsupervised learning
- Reinforcement learning
- Natural Language Processing and Speech Processing:
- Text classification
- Part of speech tagging and parsing
- Machine translation
- Question Answering
- Computer Vision:
- Image classification
- Segmentation
- Object Detection
- Robotics
History of AI
- 1956: Dartmouth Conference, where John McCarthy coined the term "Artificial Intelligence"
- 1955: Newell and Simon introduced the Logic Theorist, a computer program capable of thinking non-numerically
- Early AI programs: Logic-based Machine translation research, General Problem Solver
- Recent advances in AI: Machine Learning (1990s-present), scientific approaches, and availability of large datasets and computational power
Stages in Artificial Intelligence
-
- Rule-based AI
-
- Context-based AI (Recommendation, Siri)
-
- Narrow Domain AI (AlphaGo, IBM Watson)
-
- Thinking and Reasoning AI
-
- Artificial General Intelligence (solve multiple tasks, foundation models like LLM)
-
- Artificial Superintelligence
-
- AI Singularity
Test your knowledge on the applications of artificial intelligence in natural language processing. This quiz covers topics such as speech recognition, email applications, chatbots, and more.
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