TensorFlow is an open source (Apache 2.0) software library for Machine Intelligence created by Google
The two options are:
With the introduction of the Windows Subsystem for Linux (WSL) Windows 10 users have an additional option:
I, for One, Welcome Our AI Overlords
AI’s Road to the Mainstream: 20 Years of Machine Learning
Python 3 on Google App Engine flexible environment now in beta
| Backchannel | https://backchannel.com/tagged/artificial-intelligence |
Know someone who should be on this list? Tweet @scottontech
See also:
TL;DR Computer coding will become obsolete and we (humans) should teach our children/re-learn ourselves practical and social skills to become better humans.
Understanding the impact of AI
by Matt Webb – 7/6/16
Steam engines, telegrams and typewriters. All obsolete technologies, but well worthy of preservation in the name of engineering history and art.
Coding will join this list in time, however, where it differs wildly from the afore mentioned examples is it is unlikely to be lovingly preserved for future generations to admire, fiddle with or better still, reactivate.
Its essence will not be reified for one specific reason – it can’t be touched and humans value tactility. It’s our basic instinct. We touch immediately, both inside and outside the womb.
Our Final Invention
Artificial Intelligence and the End of the Human Era
by James Barrat
Key people mentioned in this book (alphabetical)
Other books mention in this book (alphabetical)
Quotes used in this book
Chapter 13
“Both because of its superior planning ability and because of the technologies it could develop, it is plausible to suppose that the first superintelligence would be very powerful. Quite possibly, it would be unrivalled: it would be able to bring about almost any possi-ble outcome and to thwart any attempt to prevent the implemen-tation of its top goal. It could kill off all other agents, persuade them to change their behavior, or block their attempts at inter-ference. Even a “fettered superintelligence” that was running on an isolated computer, able to interact with the rest of the world only via text interface, might be able to break out of its confine-ment by persuading its handlers to release it. There is even some preliminary experimental evidence that this would be the case.” —Nick Bostrom, Future of Humanity Institute, Oxford University
A lot has been written that Watson works through statistical knowledge rather than “true” understanding. Many readers interpret this to mean that Watson is merely gathering statistics on word sequences. . . . One could just as easily refer to the distributed neurotransmitter concentrations in the human cortex as “statistical information.” Indeed, we resolve ambiguities in much the same way that Watson does by considering the likelihood of different interpretations of a phrase. – Ray Kurzweil
| Year | Event |
| 1958 | Earliest recorded use of the term “Singularity” by mathematician Stanislaw Ulam in his tribute to John von Neumann (1903-1957) |
| 1993 | First public use of the term “Singularity” by Venor Vinge in an address to NASA entitled “The Coming Technological Singularity: How to Survive in the Post Human Era” |
| 2005 | Inaugural “Singularity Summit” hosted by the Singularity Institute for Artificial Intelligence (now MIRI) |
| 2006 | The Singularity Is Near: When Humans Transcend Biology by Ray Kurzweil is published. |
| 2009 | Wired for Thought: How the Brain is Shaping the Future of the Internet by Jeffrey Stibel is published. |
| 2012 | MIRI study “How We’re Predicting AI—or Failing To” |
| 2040 | Median value year predicted for Artificial General Intelligence from the 2012 MIRI study. |
References
AlphaGo has won its series in the game Go against grandmaster Lee Sedol 4-1. I wrote an initial post about AlphaGo after its first victory against a lesser ranked player. Humans have very big brains compared to the neural networks used by the program which shows that humans are unlikely to be able to use much of their brain for any one specific task. This, combined with the ability to run machine networks fast and against a lot of training data will make this technology formidable for many tasks.
Many people have been claiming that creativity will be one area in which machines will not be competitive with humans any time soon. But it is not clear that this is true. Creativity is related to the process of conjecture. Every new design, new text, new scientific theory, etc is a conjecture of a possible future state. The human brain is very good at coming up with such conjectures.
But here too we should notice something: if you want to come up with a new architectural design it helps to have learned a lot of existing designs. Einstein read a lot of the work of other physicists. Put differently the first step in creativity and conjecture seems to be observation and training of a network based on that.
Read the full article: Machine Creativity: Possibly Sooner than Anticipated on Continuations.com
See also: