CONTEMPORARY WORLD FINALS Flashcards
is the manipulation of matter on a near-atomic scale to produce new structures, materials and devices.
Nanotechnology
It’s the understanding and control of materials on the molecular, atomic, or even subatomic scale.
Nanotechnology
Nanomaterials have a length scale between ___ nanometers.
1 and 100
the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings.
Artificial intelligence (AI)
It is the science and engineering of making intelligent machines, especially intelligent computer programs.
AI
also called Narrow AI or Artificial Narrow Intelligence (ANI)—is AI trained and focused to perform specific tasks. drives most of the AI that surrounds us today.
Weak AI
is made up of Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI).
Strong AI
__ is a theoretical form of AI where a machine would have an intelligence equaled to humans; it would have a self-aware consciousness that has the ability to solve problems, learn, and plan for the future.
Artificial general intelligence (AGI), or general AI,
__—also known as superintelligence—would surpass the intelligence and ability of the human brain.
Artificial Super Intelligence (ASI)
refers to deep-learning models that can take raw data and “learn” to generate statistically probable outputs when prompted. At a high level, generative models encode a simplified representation of their training data and draw from it to create a new work that’s similar, but not identical to the original data.
Generative AI
It is also known as automatic speech recognition (ASR), computer speech recognition, or speech-to-text, and it is a capability which uses natural language processing (NLP) to process human speech into a written format. Many mobile devices incorporate speech recognition into their systems to conduct voice search—e.g. Siri—or provide more accessibility around texting.
Speech recognition:
Online virtual agents are replacing human agents along the customer journey. They answer frequently asked questions (FAQs) around topics, like shipping, or provide personalized advice, cross-selling products or suggesting sizes for users, changing the way we think about customer engagement across websites and social media platforms. Examples include messaging bots on e-commerce sites with virtual agents, messaging apps, such as Slack and Facebook Messenger, and tasks usually done by virtual assistants and voice assistants.
Customer service:
This AI technology enables computers and systems to derive meaningful information from digital images, videos and other visual inputs, and based on those inputs, it can take action. This ability to provide recommendations distinguishes it from image recognition tasks. Powered by convolutional neural networks, computer vision has applications within photo tagging in social media, radiology imaging in healthcare, and self-driving cars within the automotive industry.
Computer vision:
Using past consumption behavior data, AI algorithms can help to discover data trends that can be used to develop more effective cross-selling strategies. This is used to make relevant add-on recommendations to customers during the checkout process for online retailers.
Recommendation engines:
Designed to optimize stock portfolios, AI-driven high-frequency trading platforms make thousands or even millions of trades per day without human intervention.
Automated stock trading:
The idea of ‘a machine that thinks’ dates back to ancient __.
Greece
YEAR?
Alan Turing publishes Computing Machinery and Intelligence. In the paper, Turing—famous for breaking the Nazi’s ENIGMA code during WWII—proposes to answer the question ‘can machines think?’ and introduces the Turing Test to determine if a computer can demonstrate the same intelligence (or the results of the same intelligence) as a human. The value of the Turing test has been debated ever since.
1950
publishes Computing Machinery and Intelligence.
famous for breaking the Nazi’s ENIGMA code during WWII—proposes to answer the question ‘can machines think?’ and introduces the Turing Test
Alan Turing
determine if a computer can demonstrate the same intelligence (or the results of the same intelligence) as a human.
Turing Test
YEAR?
John McCarthy coins the term ‘artificial intelligence’ at the first-ever AI conference at Dartmouth College. (McCarthy would go on to invent the Lisp language.) Later that year, Allen Newell, J.C. Shaw, and Herbert Simon create the Logic Theorist, the first-ever running AI software program.
1956: