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Is there a software that can collate information from different sources (MSWord, PDF, Twitter, online newspapers etc) as I research a topic and then make it available together with each source for use when I start writing my research presentation?

Add Text To I hate 10-minute talks. It’s a very awkward bit of time — a bit too long for your “elevator talk”, and not really long enough to properly explain anything. But sometimes that is the constraint, and you have to live with it. In fact, I’m preparing such a talk now to tell our incoming grad students what I work on. A few thoughts. All talks are subject to external factors that affect the timing. The previous speaker(s) might go long, and a weak moderator may let them. If the slides are being projected from your own machine (avoid this, if you can, for short talks), there may be some setup glitch that eats a few minutes. Someone in the audience may latch onto a point on your first slide and want to fight about it. Develop the skill of politely telling them (as we nerds say) “We can discuss that offline” and move on. But if it’s the president of the company or some person too eminent to blow off, you may have to engage and waste precious minutes. These things are all bad enough in a 60 or 90-minute talk or lecture, but can be a huge disruption in a nominally 10-minute talk that turns into 5 minutes. If you give a lot of talks, you eventually develop the knack of growing or shrinking each bit of the talk on the fly. You put up a slide (if you use slides — I do) and for some of the slides you should have a quick one-liner version of what you say, or a more in-depth exploration of each point, or perhaps an anecdote or example or explanation that can go longer or shorter. Practice this. And plan in advance what you can skip over and what you crucially want to get to. For any short talk (and most others), understand that, after the smoke clears, most of your audience will take away just one or two clear points, one picture/diagram/graph (or maybe two, if the images are really good), and a general feeling that you did or did not prove your case. So think about what those points are, and in a very short talk, make sure you put up these key points and pictures, and hammer them home, before any optional stuff. Add a very brief intro that describes what the problem is and why anyone should care about it. That’s pretty much all you will have time for in ten minutes. Better even than a few points and a picture is a really good example showing the essence of the problem and what you claim to have solved (or shed some light on). That will stick, and then the people who are intrigued can go read about it. So, something like this. “When I tell you that Clyde is an elephant, you suddenly know a LOT about Clyde — much more than I actually told you— and you don’t feel like you did a lot of work to figure that out. What’s going on here, and how can we capture that capability in a machine?” I think that works a lot better than “Here are the principles of efficient, query-time inheritance of properties and relations in an AI symbolic-reasoning system that supports multiple inheritance and defeasible inference.” Understand that 10-minute talk is not a presentation of your work — it’s an abstract or maybe just a menu item telling the audience what you’ve done and where to go to find out more. So. Make sure the real work is online, and give a pointer to it. If possible, say “Just google (Fahlman cascade correlation) “ or something like that rather than putting up a URL that people will have to scribble down, when you want them to pay attention to what you are saying next. No equations. People, except for specialists in your small area, can’t sight-read these, and you’re not going to have time to walk them through it. (In some fields, you must put up an equation or a tangle of logical notation, just to show that it’s serious work, but don’t dwell on it.) If you use a graph, make sure it’s a simple one, very easy to understand. If it’s your key result, give it the time it needs; if not, make sure that it can be grokked instantly, and move on. As always, and as some of the other answers have suggested, remember that you’re telling a story — in this case, a 10-minute one. So what is the problem? Why should anyone care? What key results did I get? And (to the extent that time allows) how did I attack it and why should you believe my results?

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If you're new to AI, you probably don’t need a formal proof. The first time you see a problem that seems hard to solve (say, a general-purpose AI, general purpose system) without some specific knowledge, you start in the general realm of what you have a concrete idea about. “Hat you've encountered in your day-to-day practice. You try, and fail, if the problem is sufficiently hard but not insurmountable. Then you need more general knowledge. If the problem is solvable, you need more general reasoning. Then you need more specific reasoning. Then you need more specifically thinking. Then more general thinking. In general things such general reasoning may be something that also specific, then general, or something specific In such general, then something specific, and in something particular, something specific and something specific and something particular and some, something common and something particular. It is something a then In common. So.