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Free Online Artificial Intelligence Course from Stanford

  • Posted on August 1, 2011 at 1:09 pm

I just did a brief post at ReadWriteWeb on the free online artificial intelligence class at Stanford:

The course will be taught by Sebastian Thrun and Peter Norvig. The course will include online lectures by the two, and according to the course website both professors will be available for online discussions. And according to the video embedded below, students in the online class will be graded on a curve just like regular Stanford students and receive a certificate of completion with their grade.

ReadWriteWeb: Take Stanford’s AI Course For Free Online

One of the interesting things here is that you can, for the most part, get the full education of the course. You just don’t get the course credit. But maybe students at other universities could take the class and then test out of their own school’s AI course? What impact would it have on professors if universities accepted certificates like this to count towards credit toward a degree at their school?

John Robb has speculated that an Ivy League education could be provided for $20 a month. Andrew McAfee has asked what a higher education bust would actually look like. One possibility is that thousands of professors get laid off as a smaller number of more prestigious professors can teach larger numbers of students via the Internet.

You might also be interested in this collection of free lectures from the Stanford Human Behavioral Biology course (via Dr. Benway). And of course, there’s always The Khan Academy.

From http://feedproxy.google.com/~r/Technoccult/~3/0CKKvOhD3LI/

Robots, Automation and the Future of Work

  • Posted on March 30, 2011 at 3:00 pm

This is a presentation by Marshall Brain, founder of How Stuff Works. He’s written more extensively on the subject in an essay called Robotic Nation, which I haven’t read yet.

I think Brain might be overestimating the ability of machine-vision and natural language processing to supplant human intelligence, but the general trend towards fewer and fewer jobs is real one that I’ve written about a lot lately.

(via Justin Pickard)

From http://feedproxy.google.com/~r/Technoccult/~3/npz1e1JIlv0/

A Treasure Trove for Autodidacts

  • Posted on October 18, 2010 at 10:08 am

dissecting a circle

Trevor Blake sent me this:

References & Resources for LessWrong

LessWrong is “community blog devoted to refining the art of human rationality.” I’ve occasionally dipped into the blog, but never made much of a habit of it. But this reference page is excellent – the section on mathematics seems particularly useful. There are sections on artificial intelligence, machine learning, game theory, computer science, philosophy and more.

And via that resource page are two other amazing resources:

Khan Academy: A massive collection of free self-paced math and science lessons.

Better Explained: a site that, y’know, explains stuff. Like calculus.

From http://feedproxy.google.com/~r/Technoccult/~3/WBJ2INUGUMs/

3 Best University Majors According to Microsoft

  • Posted on August 31, 2010 at 3:13 pm

Artificial intelligence

These are the areas of concentration Microsoft is most in need of right now, according to its jobs blog:

Data Mining/Machine Learning/AI/Natural Language Processing

Business Intelligence/Competitive Intelligence

Analytics/Statistics – specifically Web Analytics, A/B Testing and statistical analysis

Microsoft Careers Jobs Blog: The Top Three hottest new majors for a career in technology

No surprises there. See “The Coming Data Explosion” for more on the subject of big data.

(via Don)

Update: See also: The Big Data Explosion and the Demand for the Statistical Tools to Analyze It “If The Graduate were remade today, the advice to young Benjamin Braddock might be ‘just one word… statistics.’”

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From http://feedproxy.google.com/~r/Technoccult/~3/sHeHGEs-fP8/

Making brains: Reverse engineering the human brain to achieve AI

  • Posted on August 25, 2010 at 3:54 pm

Brain

An introduction to the concepts and problems with reverse engineering the human brain:

The ongoing debate between PZ Myers and Ray Kurzweil about reverse engineering the human brain is fairly representative of the same debate that’s been going in futurist circles for quite some time now. And as the Myers/Kurzweil conversation attests, there is little consensus on the best way for us to achieve human-equivalent AI.

That said, I have noticed an increasing interest in the whole brain emulation (WBE) approach. Kurzweil’s upcoming book, How the Mind Works and How to Build One, is a good example of this—but hardly the only one. Futurists with a neuroscientific bent have been advocating this approach for years now, most prominently by the European transhumanist camp headed by Nick Bostrom and Anders Sandberg.

While I believe that reverse engineering the human brain is the right approach, I admit that it’s not going to be easy. Nor is it going to be quick. This will be a multi-disciplinary endeavor that will require decades of data collection and the use of technologies that don’t exist yet. And importantly, success won’t come about all at once. This will be an incremental process in which individual developments will provide the foundation for overcoming the next conceptual hurdle.

Sentient Developments: Making brains: Reverse engineering the human brain to achieve AI

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