Artificial General Intelligence
The MIT Press Essential Knowledge Series
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Narrated by:
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Steve Marvel
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By:
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Julian Togelius
About this listen
Artificial intelligence surrounds us. More and more of the systems and services you interact with every day are based on AI technology. Most AI is narrowly specific; that is, it can only do a single thing, in a single context. For example, your spellchecker can't do mathematics, and the world's best chess-playing program can't play Tetris. Human intelligence is different. We can solve a variety of tasks, including those we have not seen before. In Artificial General Intelligence, Julian Togelius explores technical approaches to developing more general artificial intelligence and asks what general AI would mean for human civilization.
Togelius starts by giving examples of narrow AI that have superhuman performance in some way. He then discusses what it would mean to have general intelligence, by looking at definitions from psychology, ethology, and computer science. Next, he explores the two main families of technical approaches to developing more general artificial intelligence: foundation models through self-supervised learning, and open-ended learning in virtual environments. The final chapters of the book investigate potential artificial general intelligence beyond the strictly technical aspects. The questions discussed here investigate whether such general AI would be conscious, whether it would pose a risk to humanity, and how it might alter society.
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Seems AI generated
- By Pap Lőrinc on 07-20-24
By: Gwen Taylor
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Artificial Intelligence
- 10 Things You Should Know
- By: Professor Tim Rocktäschel
- Narrated by: Russell Bentley
- Length: 2 hrs and 31 mins
- Unabridged
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In ten short and informative essays, Professor of AI at University College London, Tim Rocktäschel, reveals everything we need to know about artificial intelligence. From what the futures holds for AI and why it continues to improve with more data, to how superhuman AI is attainable and why we still have to fold our own laundry, discover all of this and much, much more!
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Fertility Technology
- MIT Press Essential Knowledge Series
- By: Donna J. Drucker
- Narrated by: Christa Lewis
- Length: 5 hrs and 20 mins
- Unabridged
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In the late 1850s, a physician in New York City used a syringe and glass tube to inject half a drop of sperm into a woman's uterus, marking the first recorded instance of artificial insemination. From that day forward, doctors and scientists have turned to technology in ever more innovative ways to facilitate conception. Fertility Technology surveys this history in all its medical, practical, and ethical complexity, and offers a look at state-of-the-art fertility technology in various social and political contexts around the world.
By: Donna J. Drucker
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2084 and the AI Revolution (Updated and Expanded Edition)
- How Artificial Intelligence Informs Our Future
- By: John C. Lennox
- Narrated by: John C. Lennox
- Length: 17 hrs
- Unabridged
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You don't have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we're headed. Even now, technological innovations and machine learning have a daily impact on our lives, and many of us see good reasons to dread the future. Are we doomed to the surveillance society imagined in George Orwell's 1984? Mathematician and philosopher John Lennox believes that there are credible responses to the daunting questions that AI poses.
By: John C. Lennox
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Deep Learning
- MIT Press Essential Knowledge Series
- By: John D. Kelleher
- Narrated by: Joel Richards
- Length: 5 hrs and 49 mins
- Unabridged
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In this volume in the MIT Press Essential Knowledge series, computer scientist John Kelleher offers an accessible and concise but comprehensive introduction to the fundamental technology at the heart of the artificial intelligence revolution. Kelleher explains some of the basic concepts in deep learning, presents a history of advances in the field, and discusses the current state of the art.
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Yikes
- By Elliot Blanford on 10-27-19
By: John D. Kelleher
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Mastering AI
- A Survival Guide to Our Superpowered Future
- By: Jeremy Kahn
- Narrated by: Kyle Tait
- Length: 10 hrs and 29 mins
- Unabridged
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Within the next five years, Jeremy Kahn predicts, AI will disrupt almost every industry and enterprise, with vastly increased efficiency and productivity. It will restructure the workforce, making AI copilots a must for every knowledge worker. It will compel us to reimagine how we make art, compose music, and write and publish books. The potential of generative AI to extend our skills, talents, and creativity as humans is undeniably exciting and promising. But while this new technology has a bright future, it also casts a dark and fearful shadow.
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Worth the read
- By Richard Heimann on 09-16-24
By: Jeremy Kahn
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Machine Learning: The New AI
- The MIT Press Essential Knowledge Series
- By: Ethem Alpaydi
- Narrated by: Steven Menasche
- Length: 4 hrs and 24 mins
- Unabridged
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In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.
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Narrator not suited to the material
- By pandrenyc on 12-01-16
By: Ethem Alpaydi
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Generative Artificial Intelligence
- What Everyone Needs to Know ®
- By: Jerry Kaplan
- Narrated by: Jonathan Yen
- Length: 9 hrs and 22 mins
- Unabridged
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Advances in Generative Artificial Intelligence (GAI) have created a new class of computer systems that exhibit astonishing proficiency on a wide variety of tasks with superhuman performance, producing novel text, images, music, and software by analyzing enormous collections of digitized information. Soon, these systems will provide expert medical care; offer legal advice; draft documents; write computer programs; tutor our children; and generate music and art. These advances will accelerate progress in science, art, and human knowledge, but they will also bring new dangers.
By: Jerry Kaplan
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Cybersecurity
- The Insights You Need from Harvard Business Review
- By: Harvard Business Review, Alex Blau, Andrew Burt, and others
- Narrated by: Jonathan Todd Ross
- Length: 2 hrs and 56 mins
- Unabridged
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No data is completely safe. Cyberattacks on companies and individuals are on the rise and growing not only in number but also in ferocity. And while you may think your company has taken all the precautionary steps to prevent an attack, no individual, company, or country is safe. Cybersecurity can no longer be left exclusively to IT specialists. Improving and increasing data security practices and identifying suspicious activity is everyone's responsibility, from the boardroom to the break room.
By: Harvard Business Review, and others
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ChatGPT and the Future of AI
- The Deep Language Revolution
- By: Terrence J. Sejnowski
- Narrated by: Randy McCarten
- Length: 7 hrs and 22 mins
- Unabridged
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In ChatGPT and the Future of AI, the sequel to The Deep Learning Revolution, Terrence Sejnowski offers a nuanced exploration of large language models (LLMs) like ChatGPT and what their future holds. How should we go about understanding LLMs? Do these language models truly understand what they are saying? Or is it possible that what appears to be intelligence in LLMs may be a mirror that merely reflects the intelligence of the interviewer? In this book, Sejnowski answers all our urgent questions about this astonishing new technology.
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Why Machines Learn
- The Elegant Math Behind Modern AI
- By: Anil Ananthaswamy
- Narrated by: Rene Ruiz
- Length: 13 hrs and 30 mins
- Unabridged
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We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.
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Totally inappropriate for audio
- By Steve on 11-04-24