Mark Scott, Secretary of NSW Department of Education moderates an expert panel across AI, technology, industry and the economy to further explore AI and the future of life and work. Mark will be joined on stage by Toby Walsh, Andrew Charlton, Daniel Petre and Genevieve Bell.
Join the conversation on Twitter by following @education2040 and using the hashtag #futurefrontiers. Special thanks to our principal partners Adobe, CBA, Deloitte and Hicksons Lawyers for their strong support.
Find out more about our partners, speakers and the program at http://educationchangingworld.com.au/
Life 3.0 – by Max Tegmark
‘Being human in the age of Artificial Intelligence’
Life has gradually grown more complex and interesting into 3 different tiers since the start of the Universe.
Life 1.0: Simple and biological. Can’t design it’s own software, and can’t design it’s own hardware – both are determined by DNA and change via evolution
Life 2.0: Cultural. Can survive and replicate. Can design its software like new skills – language, sports and professions. This flexibility has enabled humans to dominate the planet. While we can design our software, we can’t design our hardware
Life 3.0: The birth of a technological species. It can design both its software and its own hardware – causing an intelligence explosion and real possibilities of Artificial General Intelligence.
This book explores the range of scenarios that might be spawned from our AI future.
Grab a copy of the book here: https://www.bookdepository.com/Life-3-0-Max-Tegmark/9780141981802/?a_aid=adamsbooks
Max Tegmark Life 3.0 Being Human in the Age of Artificial Intelligence Part 02
Meet AIVA, an artificial intelligence that has been trained in the art of music composition by reading more than 30,000 of history’s greatest scores. In a mesmerizing talk and demo, Pierre Barreau plays compositions created by AIVA and shares his dream: to create original live soundtracks based on our moods and personalities.
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On November 15, 2018, BCG GAMMA and Brahe Education Foundation hosted a lecture with Max Tegmark who spoke of Life 3.0 and the future of Artificial Intelligence including both its possibilities and also risks. What kind of future do we want to live in and how can we steer AI towards it? Max Tegmark is a Professor of Physics at MIT, co-founder of the Future of Life Institute, and Scientific Director of the Foundational Questions Institute.
Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI research defines itself as the study of “intelligent agents”
At its 2018 I/O developer conference, Google showed off some updates coming to Google Home and Assistant. One feature — Google Duplex — can make phone calls for you and talk to the person on the other end to schedule appointments and make reservations. Google says the feature will roll out as an experiment over the coming weeks.
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This is a conversation with Max Tegmark as part of MIT 6.S099: Artificial General Intelligence. He is a Physics Professor at MIT, co-founder of the Future of Life Institute, and author of “Life 3.0: Being Human in the Age of Artificial Intelligence.” This class is free and open to everyone. Our goal is to take an engineering approach to exploring possible paths toward building human-level intelligence for a better world.
0:00 – Introduction
2:28 – Conversation
Course website: https://agi.mit.edu
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Life 3.0: Being Human in the Age of Artificial Intelligence by Max Tegmark
How will Artificial Intelligence affect crime, war, justice, jobs, society and our very sense of being human? The rise of AI has the potential to transform our future more than any other technology—and there’s nobody better qualified or situated to explore that future than Max Tegmark, an MIT professor who’s helped mainstream research on how to keep AI beneficial. How can we grow our prosperity through automation without leaving people lacking income or purpose? What career advice should we give today’s kids? How can we make future AI systems more robust, so that they do what we want without crashing, malfunctioning or getting hacked? Should we fear an arms race in lethal autonomous weapons? Will machines eventually outsmart us at all tasks, replacing humans on the job market and perhaps altogether? Will AI help life flourish like never before or give us more power than we can handle?
What sort of future do you want? This book empowers you to join what may be the most important conversation of our time. It doesn’t shy away from the full range of viewpoints or from the most controversial issues—from superintelligence to meaning, consciousness and the ultimate physical limits on life in the cosmos.
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ML development brings many new complexities beyond the traditional software development lifecycle. Unlike in traditional software development, ML developers want to try multiple algorithms, tools, and parameters to get the best results, and they need to track this information to reproduce work. In addition, developers need to use many distinct systems to productionize models. To address these problems, many companies are building custom “ML platforms” that automate this lifecycle, but even these platforms are limited to a few supported algorithms and to each company’s internal infrastructure.
In this session, we introduce MLflow, a new open source project from Databricks that aims to design an open ML platform where organizations can use any ML library and development tool of their choice to reliably build and share ML applications. MLflow introduces simple abstractions to package reproducible projects, track results, and encapsulate models that can be used with many existing tools, accelerating the ML lifecycle for organizations of any size.
In this deep-dive session, through a complete ML model life-cycle example, you will walk away with:
MLflow concepts and abstractions for models, experiments, and projects
How to get started with MLFlow
Understand aspects of MLflow APIs
Using tracking APIs during model training
Using MLflow UI to visually compare and contrast experimental runs with different tuning parameters and evaluate metrics
Package, save, and deploy an MLflow model
Serve it using MLflow REST API
What’s next and how to contribute
Are humans really at risk from artificial intelligence? Will there be a rise of the machines, and if so, is that a good thing? UNSW’s Professor Toby Walsh, an expert in AI and one of Australia’s rock stars of the digital revolution, dispels some myths about AI and tells us what we should really be worried about. From UNSW’s UNSOMNIA event.
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While much of this technology is still fairly rudimentary at the moment, we can expect sophisticated AI to one day significantly impact our everyday lives.
A VR game for experiencing the life of a transgender boy
Life 3.0 Being Human in the Age of Artificial Intelligence By Max Tegmark Audiobook Part2
Recorded: Sept 15th , 2017
Life 3.0 Professor Max Tegmark talked about his book Life 3.0: Being Human in the Age of Artificial Intelligence, in which he examines the concept of intelligence and what questions should be asked in light of the advancement of artificial intelligence.
We are in the third-generation business, an era that requires to reimagine the business and work.
Paul Daugherty, Chief Technology & Innovation Officer di Accenture – author of the book “Human+Machine – Reimagining Work in the Age of AI” – explains how we are moving towards a new “collaborative intelligence” Era, where human skills like perception, creativity, communication embrace machine skills like prediction, repetition, memorization