- 1996 vs 2011 Infographic from Online University (Evolving Newsroom) — “AOL and Yahoo! may be the butt of jokes for young people, but both are stronger than ever in the Internet’s Top 10″. Plus ça change, plus c’est la même chose.
- Pandas — open source Python package for data analysis, fast and powerful. (via Joshua Schachter)
- The Society of Mind — MIT open courseware for the classic Marvin Minsky theory that explains the mind as a collection of simpler processes. The subject treats such aspects of thinking as vision, language, learning, reasoning, memory, consciousness, ideals, emotions, and personality. Ideas incorporate psychology, artificial intelligence, and computer science to resolve theoretical issues such as whole vs. parts, structural vs. functional descriptions, declarative vs. procedural representations, symbolic vs. connectionist models, and logical vs. common-sense theories of learning. (via Maria Popover)
- Gamers Solve Problem in AIDS Research That Puzzled Scientists for Years (Ed Yong) — researchers put a key protein from an HIV-related virus onto the Foldit game. If we knew where the halves joined together, we could create drugs that prevented them from uniting. But until now, scientists have only been able to discern the structure of the two halves together. They have spent more than ten years trying to solve structure of a single isolated half, without any success. The Foldit players had no such problems. They came up with several answers, one of which was almost close to perfect. In a few days, Khatib had refined their solution to deduce the protein’s final structure, and he has already spotted features that could make attractive targets for new drugs. Foldit is a game where players compete to find the best shape for a protein, but it’s capable of being played by anyone–barely an eighth of players work in science.
"artificial intelligence" entries
Nigel Shadbolt on AI, ODI, and how personal, open data could empower consumers in the 21st century.
After years of steady growth, open data is now entering into public discourse, particularly in the public sector. If President Barack Obama decides to put the White House’s long-awaited new open data mandate before the nation this spring, it will finally enter the mainstream.
As more governments, businesses, media organizations and institutions adopt open data initiatives, interest in the evidence behind release and the outcomes from it is similarly increasing. High hopes abound in many sectors, from development to energy to health to safety to transportation.
“Today, the digital revolution fueled by open data is starting to do for the modern world of agriculture what the industrial revolution did for agricultural productivity over the past century,” said Secretary of Agriculture Tom Vilsack, speaking at the G-8 Open Data for Agriculture Conference.
As other countries consider releasing their public sector information as data and machine-readable formats onto the Internet, they’ll need to consider and learn from years of effort at data.gov.uk, data.gov in the United States, and Kenya in Africa.
One of the crucial sources of analysis for the success or failure of open data efforts will necessarily be research institutions and academics. That’s precisely why research from the Open Data Institute and Professor Nigel Shadbolt (@Nigel_Shadbolt) will matter in the months and years ahead.
In the following interview, Professor Shadbolt and I discuss what lies ahead. His responses were lightly edited for content and clarity.
The Changing Internet, Python Data Analysis, Society of Mind, and Gaming Proteins
Eliza Aftermath, Open Textbook, Crowdsourcing Music Fingerprinting, Singularity Skepticism
- Eliza pt 3 — delightful recapitulation of the reaction to Eliza and Weizenbaum’s reaction to that reaction, including his despair over the students he taught at MIT. Weizenbaum wrote therein of his students at MIT, which was of course all about science and technology. He said that they “have already rejected all ways but the scientific to come to know the world, and [they] seek only a deeper, more dogmatic indoctrination in that faith (although that word is no longer in their vocabulary).”
- Computer Vision Models — textbook written in the open for public review. (via Hacker News)
- Echoprint — open source and open data music fingerprinting service from MusicBrainz and others. I find it interesting that doing something new with music data requires crowdsourcing because nobody has the full set.
- Three Arguments Against The Singularity (Charlie Stross) — We clearly want machines that perform human-like tasks. We want computers that recognize our language and motivations and can take hints, rather than requiring instructions enumerated in mind-numbingly tedious detail. But whether we want them to be conscious and volitional is another question entirely. I don’t want my self-driving car to argue with me about where we want to go today. I don’t want my robot housekeeper to spend all its time in front of the TV watching contact sports or music videos. And I certainly don’t want to be sued for maintenance by an abandoned software development project.
Watson opens the door to conversations, not just answers.
Now that we can build machines that can answer tough and ambiguous questions, the next step is to realize that the answer to a question isn't the end of the process.
Aditi Muralidharan on improving discovery and building intuition into search.
Ph.D. student Aditi Muralidharan aims to make life easier for researchers and scientists with WordSeer, a text analysis tool that examines and visualizes language use patterns.
The real value of the Watson supercomputer will come from what it inspires.
While IBM's Watson supercomputer / Jeopardy contestant is a masterpiece of natural language processing, it's important to remember that it's just a learning tool that will help us solve more interesting problems.