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Artificial Intelligence Quotes

Artificial Intelligence Quotes

Last updated: September 25, 2024

19 Artificial Intelligence Quotes organized by Most Popular

“AI is akin to building a rocket ship. You need a huge engine and a lot of fuel. The rocket engine is the learning algorithms but the fuel is the huge amounts of data we can feed to these algorithms.”
— Andrew Ng, The Inevitable: Understanding the 12 Technological Forces That Will Shape Our Future
Tagged: AI, Artificial intelligence, Algorithms, Building Smart Computers, Metadata is the Answer
“Humans have already lost to machines when it comes to motivation longevity. Which arguably is more important than intelligence.”
— Patrick Algrim, AI: Motivation longevity is what we should worry about
Tagged: Man vs. Machine, Artificial intelligence
“Someday there’ll be a robot in every house, doing the dishes, making the beds, even looking after the children while the parents work.”
— Pedro Domingos, The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Tagged: Robots, Future Predictions, Artificial intelligence, Computer Science, Robots Will Take Care of Us?, Quote of the Moment
“In order for A.I. systems to work, they need to be trained. And we, we humans, are their mothers and fathers. We are their study buddies. We are the ones these A.I. systems are learning from.”
— Amy Webb, Futurist: A.I. Learns From Humans, 'That's What Keeps Me Up At Night'
Tagged: Artificial intelligence, How Artificial Intelligence Learns
“Asking for a definition of Artificial Intelligence (AI) is like the old story of the blind men describing an elephant. You can get many different definitions, depending on one's point of view.”
— Robert S. Engelmore, ARTIFICIAL INTELLIGENCE AND KNOWLEDGE BASED SYSTEMS
Tagged: Artificial intelligence, Machine Learning, Computer Science
“Machine learning only works when you have data — preferably a lot of data.”
— Adam Geitgey, Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural Networks
Tagged: Artificial intelligence, Learning, Data, Information Science, Metadata is the Answer
“Machine learning will bring about not just a new era of civilization, but a new stage in the evolution of life on Earth.”
— Pedro Domingos, The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
Tagged: Machine Learning, Evolution of Civilization, Artificial intelligence, Brand New World (Of Learning Machines), Future Predictions
“Another interesting limitation of speech recognition systems -- and machine learning systems more generally -- is that they are more optimized for specific problems than most people realize. For example, understanding a person talking to a computer is subtly different problem from understanding a person talking to another person. If you train a machine learning system on data from Google of people speaking to a search engine, it will perform relatively worse on Facebook at understanding people talking to real people. In the case of Jarvis, training an AI that you'll talk to at close range is also different from training a system you'll talk to from all the way across the room, like Echo. These systems are more specialized than it appears, and that implies we are further off from having general systems than it might seem.”
— Mark Zuckerberg, Building Jarvis
Tagged: Artificial intelligence, Facebook, General AI
“ It’s not magic. It’s machine learning.”
— Michael Lopp, iPhone Home Screen – Year in Review
Tagged: Machine Learning, AI
“The car didn’t follow a single instruction provided by an engineer or programmer. Instead, it relied entirely on an algorithm that had taught itself to drive by watching a human do it.”
— Will Knight, There’s a big problem with AI: even its creators can’t explain how it works
Tagged: Artificial intelligence, Machine Learning
“But the truth is, only a tiny percentage of people in the post-industrial world will ever end up working in software engineering, biotechnology or advanced manufacturing. Just as the behemoth machines of the industrial revolution made physical strength less necessary for humans, the information revolution frees us to complement, rather than compete with, the technical competence of computers. Many of the most important jobs of the future will require soft [emotional] skills, not advanced algebra.”
— Livia Gershon, The key to jobs in the future is not college but compassion – Livia Gershon | Aeon Essays
Tagged: Emotion, Emotional Labour, Industrial Future, Artificial intelligence, Technology, Jobs In The Future, The Future Is Emotional
“Word embeddings or word vectors are a way for computers to understand what words mean in text written by people. The goal is to represent words as lists of numbers, where small changes to the numbers represent small changes to the meaning of the word. This is a technique that helps in building AI algorithms for natural language understanding — using word vectors, the algorithm can compare words by what they mean, not just by how they’re spelled.”
— Robert Speer, Better, less-stereotyped word vectors
Tagged: Word Vectors, NLP, Artificial intelligence, Word Abstractions
“In thinking about designing an expert system, one shou1d always keep in mind the two parts: a knowledge base, which you may think of as a global data base containing facts, rules, relations, etc., and an inference engine which interprets the knowledge and controls the problem solving procedure according to some strategy. This design is in sharp contrast with most computer programs, in which the knowledge of the domain is embedded direct1y into the program.”
— Robert S. Engelmore, ARTIFICIAL INTELLIGENCE AND KNOWLEDGE BASED SYSTEMS
Tagged: Artificial intelligence, Knowledge Engineering
“Each sentence of OMCS was entered by a goal-directed user hoping to contribute common sense, resulting in a wealth of statements that focus on simple, real-world concepts that often go unstated.”
— Robert Speer, Catherine Havasi, Jason Alonso, Recent Advances in Natural Language Processing V
Tagged: Open Mind Common Sense, Goal-Directed Learning, ConceptNet, Artificial intelligence, QC-Learning
“When robots become as smart and capable as human beings, there will be nothing left for people to do because machines will be both stronger and smarter than humans.”
— Kevin Drum, You will lose your job to a robot—and sooner than you think
Tagged: Artificial intelligence, Robots, Age of Automation
“Whatever you are studying right now, if you are not getting up to speed on deep learning, neural networks, etc., you lose. We are going through the process where software will automate software, automation will automate automation.”
— Mark Cuban, Mark Cuban says this book fueled his optimism about A.I.
Tagged: AI, Automation, Robotics
“Amazon Polly delivers the consistently fast response times required to support real-time, interactive dialog. You can cache and save Polly’s speech audio to replay offline or redistribute. And Polly is easy to use. You simply send the text you want converted into speech to the Polly API, and Polly immediately returns the audio stream to your application so your application can play it directly or store it in a standard audio file format, such as MP3.”
— Amazon, Polly – Lifelike Text-to-Speech
Tagged: Text To Speech, AWS: Reinvent 2016, Polly, Artificial intelligence, AWS
“The increasingly popular way to achieve this grounding these days is by joint embeddings — deep distributed representations where different modalities or perspectives on the same concept are placed very close together in a high-dimensional vector space.”
— Richard Mallah, The Top A.I. Breakthroughs of 2015- Future of Life Institute
Tagged: Artificial intelligence
“By far the greatest danger of Artificial Intelligence is that people conclude too early that they understand it.”
— Eliezer Yudkowsky, Artificial Intelligence as a Positive and Negative Factor in Global Risk
Tagged: Artificial intelligence, Robots, Dangers of Technology