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Heartificial or artificial intelligence? How to program a friendly AI. Supercomputers are about to achieve a quantity and level of intelligence which allows them to grow hyper-exponentially over a short period of time.

Heartificial or artificial intelligence? How to program a friendly AI

We call them superintelligences and this sudden growth poses some risks because they will be much smarter than the best human brains in practically every field, including scientific creativity, general wisdom and social skills (Nick Bostrom). I don’t question that this will happen, as Ray Kurzweil said “Our intuition about the future is linear. But the reality of information technology is exponential, and that makes a profound difference. If I take 30 steps linearly, I get to 30. If I take 30 steps exponentially, I get to a billion.”. This intelligence will have goals and will be able to command resources to achieve its targets. The first question is about the level of risk we are ready to accept.

Our question is “how can we create a friendly AI”? Code into AI a pre-programmed set of rules since the beginning Conclusion on friendly AI Related. Künstliche Intelligenz: Spracherkennung und Sprachverstehen. Johannes Gutenberg-Universität Mainz Fachbereich Angewandte Sprach- und Kulturwissenschaft in GermersheimKünstliche Intelligenz: Spracherkennung und SprachverstehenReferat zum Hauptseminar "Psycholinguistik: Mentale Prozesse in der Sprachverarbeitung" SS 1997 Referentin: Dora Warth Seminarleiter: Univ.

Künstliche Intelligenz: Spracherkennung und Sprachverstehen

-Prof. Dr. Dieter Huber Die Idee, denkende Maschinen zu konstruieren, kam bereits in der Antike auf. Nach der Erfindung des Computers um 1945 stand hierfür ein interessantes Werkzeug zur Verfügung. 1.1 Methoden Aus diesen gemeinsamen Merkmalen ergeben sich drei Hauptprobleme, für die in der KI Lösungsmöglichkeiten gefunden werden müssen: Das Wissen muß in geeigneter Form dargestellt werden, aus dem vorhandenen Wissen sollte neues, bisher noch nicht direkt verfügbares Wissen abgeleitet werden können und es muß durch ein geeignetes Suchverfahren eine möglichst gute Lösung für das jeweilige Anwendungsproblem gefunden werden.

I'm an tech artist in the industry and I'd love to clear up some misconceptions about rendering and game art workflows that I frequently see in comments from SC fans : starcitizen. Star Citizen is pretty impressive tech-wise, but I think that what exactly makes it impressive is sometimes misinterpreted and misunderstood by some fans.

I'm an tech artist in the industry and I'd love to clear up some misconceptions about rendering and game art workflows that I frequently see in comments from SC fans : starcitizen

I work in the industry (not on SC though) and I sometimes see posts requesting other developers to "add PBR to make things detailed like in Star Citizen", or describing unsatisfactory content with "this is not PBR yet", or referring to ship detail being crisp because of "8k textures", misunderstanding the reasons behind lack of AA in the current releases, or attributing smooth shading on the ship surfaces to high res normal maps and so on and so on.

I think it would be interesting to let you know some real answers both for the kick of it (who wants to know how their favorite ship really works art-wise?) So yeah. I'll try to cover some topics I have time for in the OP, and I invite you to ask anything you are curious about in the comments. I guess we can start with the ships. Notice anything problematic?

Wait a minute, though. Decals! Spielend Programmieren lernen 2015! - Prof. Dr. Martin v. Löwis. 2787.pdf. Android Game Development Tutorial - Kilobolt. From zero experience to publishing my first game from scratch in <6 months; here's how I did it. Java / Android / LibGDX : learnprogramming. Learn programming. Paul Graham – How to Get Startup Ideas. The way to get startup ideas is not to try to think of startup ideas.

Paul Graham – How to Get Startup Ideas

It's to look for problems, preferably problems you have yourself. The very best startup ideas tend to have three things in common: they're something the founders themselves want, that they themselves can build, and that few others realize are worth doing. Microsoft, Apple, Yahoo, Google, and Facebook all began this way. Problems Why is it so important to work on a problem you have? I made it myself. Why do so many founders build things no one wants? At YC we call these "made-up" or "sitcom" startup ideas. For example, a social network for pet owners. The danger of an idea like this is that when you run it by your friends with pets, they don't say "I would never use this.

" Well When a startup launches, there have to be at least some users who really need what they're making—not just people who could see themselves using it one day, but who want it urgently. Made-up startup ideas are usually of the first type. Self Noticing. Style your text.