32 Questions
What is the name of the model representing the maturity and adoption of technologies?
Hype Cycle
Who is the famous entrepreneur mentioned in the context?
Elon Musk
What is the concept of similarity for the human brain equivalent to in deep learning networks?
Different metrics
What can produce errors in deep neural models?
All of the above
What is the purpose of choosing the worst-case inputs in adversarial attacks?
To choose the best inputs to be perturbed
What is the name of the data set used to train the AlexNet neural network?
ImageNet
What is the risk of using an 'off the shelf' neural network like AlexNet?
It can be easily attacked
What is an example of a problem in deep neural models?
Adversarial attacks
What is the name of the workshop where Ian Goodfellow presented his work on Bayesian deep learning?
NIPS Workshop on Bayesian Deep Learning
What did Bill Gates compare a breakthrough in machine learning to?
Ten Microsofts
Who described machine learning as 'the next Internet'?
Tony Tether
What did Stephen Hawking think could be the outcome of developing full artificial intelligence?
The end of the human race
According to Larry Page, what would the ultimate search engine be able to do?
All of the above
What is Elon Musk's current opinion on the pace of progress in artificial intelligence?
It's growing at a pace close to exponential
What is the timeframe that Elon Musk thinks is possible for something seriously dangerous to happen with artificial intelligence?
Five years
Who is the President of Stanford University?
John Hennessy
What did Elon Musk think was necessary to ensure that artificial intelligence doesn't do something very foolish?
Regulatory oversight at the national and international level
What does the Gartner hype cycle graph represent?
The cycle of excitement and disappointment with new technologies
What is the third main driver of AI according to the classical view?
Algorithms
What is the focus of the 4th driver of AI?
Intelligent systems for industry, supply chain and environment
What is the role of the designer's brain in AI development?
It's a crucial element in the development of AI
What is not a characteristic of the Gartner hype cycle?
It's scientific in nature
What is the second main driver of AI according to the classical view?
Data
What does Fabio Scotti represent in the context of AI?
Università degli Studi di Milano
What is the relationship between the three main drivers of AI?
They are interconnected
What is the main idea behind the phrase 'Whole is greater than the sum of its parts'?
The experiences and perceptions of learners have a significant impact on the way they learn
What is the key feature of the human brain that is difficult to mimic with current AI models?
The ability to understand the significance of learner's experiences and perceptions
What is the main idea behind the Gestalt example of foreground and background?
A part of the image can be 'just noise' for one pattern or the most salient feature for the other
What is the Law of Pragnanz in Gestalt theory?
The law that states that objects in the environment are seen in a way that makes them appear as simple as possible
What is the main idea behind the Gestalt law of Common Fate?
Humans perceive visual elements that move in the same speed and/or direction as parts of a single stimulus
What is the main difference between the human brain and current AI models?
The human brain is more capable of understanding the significance of learner's experiences and perceptions than current AI models
What is the main idea behind the Gestalt theory?
The whole is greater than the sum of its parts
Study Notes
Chihuahua or Muffin?
- The concept of similarity for the human brain is not equivalent to the metrics in deep learning networks
- The brain can perceive how the muffin and the chihuahua are close in internal feature space
Adversarial Attacks
- Small distortions or noise can produce errors (adversarial attacks) in deep neural models
- Worst-case inputs: choosing the best inputs to be perturbed by additive designed patterns
- Not all regions of input are conducive to adversarial examples
Theory
- A better "view" starts from a similar image in the internal feature space using AlexNet, an "off-the-shelf" neural network trained on ImageNet, a dataset of 1.3 million images
Gestalt Examples
- Foreground and background: a part of the image can be "just noise" for one pattern or "the most salient feature" for the other
- Examples: MAN/VASE/TREE, FACE/LION, and SAX
Gestalt: Laws of Perceptual Organization
- Law of Pragnanz ("good figure"): objects in the environment are seen in a way that makes them appear as simple as possible
- Law of Common Fate: humans perceive visual elements that move in the same speed and/or direction as parts of a single stimulus
ChatGPT 4 Attempt
- Abstract representation featuring silhouetted figures repeated in a sequence, likely intended to depict motion or progression
Opinions
- Bill Gates: "A breakthrough in machine learning would be worth ten Microsofts"
- Tony Tether: "Machine learning is the next Internet"
- John Hennessy: "Machine learning is the hot new thing"
- Stephen Hawking: "Artificial intelligence (AI) will be either the best or worst thing for humanity"
- Larry Page: "Artificial intelligence would be the ultimate version of Google"
- Elon Musk: "The pace of progress in artificial intelligence is incredibly fast...the risk of something seriously dangerous happening is in the five-year timeframe"
Gartner Hype Cycle
- The plot represents the maturity, adoption, and social application of specific technologies
- Not a scientific concept, with no changes over time in the speed at which technology develops
AI/ML Hype Cycle
- Graph representing the maturity, adoption, and social application of AI/ML technologies
Toolboxes
- The four main drivers: Computing Power, Data, Algorithms, and Intelligent Systems for Industry, Supply Chain, and Environment
This quiz is about Nitinol electrodes and the Gartner Hype Cycle, with mentions of University of California and Università degli Studi di Milano. Expect questions about these topics.
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