Military, Universities Team Up on Big CALO Project

The CALO test throws all kinds of detailed questions at the intelligent assistant, and Cheyer expects it to "learn in the wild," and get a certain number of answers right and achieve a certain score -- and to constantly improve.

CALO is still being developed and being kept partially under wraps. Cheyer apologized for the dull, government-issued PowerPoint slides he was using during his presentation, because he is "only allowed to show publicly approved slides."

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The aforementioned Tom Gruber -- an innovator in technologies that augment human intelligence, individually and collectively -- led off Thursday night's SDForum meeting with the theme "intelligence at the interface." What this meeting is about, Gruber said, is "the horizon, about something that will change the way we use the Internet."

What does intelligence at the interface mean, and what can it do for you? Gruber wrote that:

“The interfaces we use to interact with the world's information are getting smarter. Web portals gave us someone else's idea of the content we should see. Then came search engines, which let us tell the system what we want, one query at a time.

We are about to see the next wave -- intelligence at the interface -- in which the system knows about us, our information, and our physical environment. With knowledge about our context, an intelligent system can make recommendations and act on our behalf.”

Gruber said the goals of intelligence at the interface are things like: tell me what I need to know; understand what I mean; help me solve my problems; help me meet my needs; help me keep in touch; help me discover; work for me.

In addition to the CALO demo, three other technologies were demoed Thursday:

1. Yahoo Research Berkeley showed off the dazzling ZoneTag and Zurfer, mobile-phone photo-driven applications that use your social, spatial, and temporal context to support and enhance key user tasks on the mobile device. They intelligently help you capture, upload, tag, view and search for photos on your mobile device, minimizing requirements on explicit input and user attention.

2. PARC demonstrated a mobile leisure guide, codenamed Magitti, which recommends places to visit in an urban environment. It pays attention to your messages, your time, location, past behavior, and preferences and it also infers your current and future activity type to better target its recommendations. For instance, it suggests where you should go to dinner when you're out on the town, or it might suggest what your next activity should be.

3. Radar Networks demonstrated Twine, a new online service based on their semantic web platform (which SemanticWeb.com has written about, Radar’s Twine Ties the Semantic Web Together). Twine helps people organize, find, and share their information more intelligently. It knows about the semantic content of information of all sorts, from web content to email.