JimmyQS - Slashdot User

Submission + - Former Mozilla CEO launches new browser

Submitted by rudy_wayne on Thursday January 21, 2016 @08:03AM

rudy_wayne writes: Former Mozilla CEO Brendan Eich has launched a new Chromium-based browser called Brave.

"Brave blocks everything: initial signalling/analytics scripts that start the programmatic advertising 'dirty pipe', impression-tracking pixels, and ad-click confirmation signals," Eich wrote on the Brave site.

Former Mozilla CTO Andreas Gal said in a blog post, the web is broken, with current browser vendors unwilling to tackle the dilemma of blocking ads, while looking at alternative mechanisms for funding content. Gal said it was ironic Brave was a for-profit operation that can make money from reducing advertising.

Submission + - Can Innovation Be Automated? (hbr.org)

Submitted by

JimmyQS

on Sunday March 24, 2013 @09:31PM

JimmyQS writes: "The Harvard Business Review blog has an invited piece about Innovation Software. Tony McCaffrey at the University of Massachusetts Amherst talks about several pieces of software designed to help engineers augment their innovation process and make them more creative, including one his group has developed called Analogy Finder. The software searches patent databases using natural language processing technology to find analogous solutions in other domains. According to Dr. McCaffrey 'nearly 90% of new solutions are really just adaptations from solutions that already exist — and they're often taken from fields outside the problem solver's expertise.'"

Submission + - Crowdsourced evolution of 3D printable objects (endlessforms.com)

Submitted by

JimmyQS

on Thursday September 22, 2011 @12:53PM

JimmyQS writes: "The Cornell Creative Machines Lab, which brought us chatbots debating God and unicorns, has developed Endlessforms.com, a site using evolutionary algorithms and crowdsourcing to design objects that can be 3D printed in materials such as silver, steel or silicone. MIT's Technology Review says "The rules EndlessForms uses to generate objects and their variants resemble those of developmental biology—the study of how DNA instructions unfold to create an entire living organism. The technology is 'very impressive,' says Neri Oxman, director of the MIT Media Lab's Mediated Matter research group. She believes the user-friendliness of the evolutionary approach could help drive the broader adoption of 3-D printing technologies, similar to how easy-to-use image editors fueled the growth of digital photography and graphic manipulation. Oxman [notes] that this could ultimately have an impact on design similar to the impact that blogs and social media have had on journalism, opening the field to the general public." The New Scientist has a quick video tour and describes how the same technology can evolve complex, artificially intelligent brains and bodies for robots that can eventually be 3D printed."

Submission + - Experimental Video Game Evolves Its Own Content (ucf.edu)

Submitted by

Ken Stanley

on Tuesday July 07, 2009 @09:56PM

Ken Stanley writes: "Just as interest in user-generated content in video games is heating up, a team of researchers at the University of Central Florida has released an experimental multiplayer game in which content items compete with each other in an evolutionary arms race to satisfy the players. As a result, particle system-based weapons, which are the evolving class of content, continually invent their own new behaviors based on what users liked in the past. Does the resulting experience in this game, called Galactic Arms Race, suggest that evolutionary algorithms may be the key to automated content generation in future multiplayer gaming and MMOs?"

Comment Another evolution-like wisdom-of-crowds system (Score 1) 804

by JimmyQS on Friday October 19, 2007 @09:34AM (#21040407) Attached to: Evolution and the 'Wisdom of Crowds'

Here is another evolution-like wisdom of crowds system, called Picbreeder. It is an Interactive Evolutionary Computing (IEC) system, where users choose the images that they like to spawn the next generation. When the user is satisfied with the image, he or she publishes it to the site. Then, any other user can continue to evolve the image. Many of the images, after passing through a few hundred generations, and a dozen or so users' hands, end up looking like real things (e.g. faces, cars, animals).

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