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… Sie können einen digitalen Zwilling erschaffen. 

Durch die Analyse Ihrer E-Mail, Textnachrichten, durchforsten ihrer Sozialen Netzwerke und dem Zuhören Ihrer Reden und Gespräch – dieser kann unwichtige Entscheidungen für Sie abnehmen.

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 … eines Tags wird die Künstliche Intelligenz das menschliche Niveau erreichen.

Dies bringt unerreichte Möglichkeiten und  Vorteile für die Menschheit, jedoch müssen wir auch den Gefahren schon im Vorfeld begegnen.

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Bei AI-Claudio.com  geht es um Forschung und Entwicklung zu Künstliche Intelligenz (K.I.) und Maschinellem Lernen. Der Fokus liegt bei Deep Learning im Zusammenhang mit Neurowissenschaften um große Mengen an Daten zu analysieren. Der Forschungsschwerpunkt hat die allgemeine Künstliche Intelligenz, AGI, als Ziel,  sowie im Bereich Natural Language Processing eine verbesserte people-centric Mensch-Maschine-Interaktion. Wir versuchen die vollständige Verbindung zwischen bestehendem Weltwissen (semantic / linked data) und maschinellem Lernen zu erreichen.

AI-Claudio.com beschäftigt sich mit Forschung, Artikeln und Blogging zu K.I..
Seien Sie herzliche willkommen, die – hauptsächlich englischen – Artikel zu lesen oder über das Kontaktformular weiter unten Nachrichten, Fragen und Anregungen zu senden.

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MHP – A Porsche Company

MHP ist eine führende Management- und IT-Beratung in Digitalisierung und Automotive. MHP steht für die Mieschke Hofmann und Partner GmbH und ist ein Porsche-Tochterunternehmen.

Gleichwohl berät das Unternehmen unter anderem 6 Automobilhersteller, über 90% der deutschen Top 25 Automobilzulieferer und über ein Drittel aller deutschen Top 100 Unternehmen (nach Umsatz) …

Für Beratungsanfragen zu Maschinellem Lernen und Künstlicher Intelligenz in den Bereichen Big Data Analytics, Connected Car oder Industrie 4.0 – können Sie Claudio gerne bei MHP kontaktieren. Telefon: +49 151 4066 7937


Die meisten Artikel auf www.ai-claudio.com sind auf Englisch, hier ein paar Artikel auf Deutsch (bzw. Links zu Artikeln auf Mobile Geeks):

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Bill Gates is concerned and excited about super intelligence

Bill Gates agrees that we should be worried about artificial super intelligence! 

Just a little after the ‘Future of Life Institute’ published an open letter on Research Priorities for Robust and Beneficial Artificial Intelligence, which states many risks and examples including many research ideas to avoid those risks. You can read our article Demonic A.I.! What are we afraid of? Solutions to the risks! about that.

Bill Gates: I am in the camp that is concerned about super intelligence. First the machines will do a lot of jobs for us and not be super intelligent. That should be positive if we manage it well. A few decades after that though the intelligence is strong enough to be a concern. I agree with Elon Musk and some others on this and don’t understand why some people are not concerned

Source: thisisbillgates @ Reddit

But he also is very exited and enthusiastic about A.I.: 

read more…

Demonic A.I.! What are we afraid of? Solutions to the risks!

Artificial intelligence is correctly perceived as a significant opportunity but also as an existential threat. A while ago Elon Musk urged us to be aware  of A.I. , as it might be like calling for demons we might not be able to control. Also Cosmologist Stephen Hawking warned of the possible end of civilisation by AI. The dangers of which A.I. are very versatile.

About the dangers and far-reaching consequences was written very much in various media lately. As most readers have probably already read most of potential problems – here are solutions instead, from the brightest minds of A.I. and me.

read more…

Artificial Intelligence | Starting soon on edX

(Starting soon) UC Berkeley’s introductory course of Artificial Intelligence (upper division course CS188) will begin and available to everyone online. You can join the classes for free or get certified for a minimum fee.

The lecturers will be Pieter Abbeel and Dan Klein, which both have masses of very positive student reviews and previous experience.

Artificial Intelligence | edX.

Stay also tuned for further information as well as lecture notes and possible discussions about this course on ai-claudio.com. If you can’t wait, have a look at UDACITY Machine Learning – 1 Supervised.

A.I. 2015: Conferences & Events in Europe and Global

As young researcher we are extremely interested in the research and publication in Artificial Intelligence, especially Neuroscience for Machine Learning. Here are interesting Conferences and Events in 2015.

If you cannot attend, you still will be able get some of their papers and further resources on their linked event page.

Please feel free to send me further events or comments, they are as always appreciated! 🙂

January:

02-05 January 2015, The Future of AI: Opportunities and Challenges in San Juan, Puerto Rico

21-23 January 2015, International Symposium on Artificial Life and Robotics (AROB 2015), in Beppu, Japan

25-30 January 2015, AAAI Conference on Artificial Intelligence (AAAI-15) in Austin, Texas, USA.

February:

05-07 February 2015, Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2015), in Newcastle, Australia

March:

25-28 March 2015, SMART Cognitive Science International Conference in Amsterdam, Netherlands

April:

07-11 April 2015, International Neuroscience Winters Conference (17.) in Soelden, Österreich

08 – 10 April 2015, Evostar 2015 in Copenhagen, Denmark

19-22 April 2015, Spring Brain Conference, Bridging Neural Mechanisms and Cognition by FENS in Copenhagen, Denmark

22-24 April 2015, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2015) (23.) in Bruges, Belgium

 

May

18-22 May 2015, International Conference on Integration of Artificial Intelligence (AI) and Operations Research (OR) techniques in Constraint Programming (CP-AI-OR 2015) in Barcelona, Spain

19-20 May 2015 ICT Spring Europe 2015 with a AI&ROBOT AREA special in Luxembourg City, Luxembourg

26-30 May 2015, IEEE Robotics & Automation Societys Conference, (ICRA 2015) in Seattle, USA

25-28 May 2015, IEEE Congress on Evolutionary Computation (IEEE CEC 2015) in Sendai, Japan

read more…

One-on-One with Elon Musk – MIT AeroAstro Centennial Symposium – YouTube

One-on-One with Elon Musk – MIT AeroAstro Centennial Symposium – YouTube.

 

Elon Musk is probably one of the most influential person of our lives and humankind beyond that. He also is  (co-) founder of Paypal, Tesla Motors and SpaceX.

He is interested in A.I., but also believes that is might be a huge risk for our species. Be believe he is right that we really should take care about our ethics.

But despite my opinion, there will be always some people who will try any possible thing – society has to enforce some rules for humanity themselves.

 

Here is a transcript of Musk on A.I. (source: Elon Musk, Techcrunch)

read more…

Natural Language Processing is a big and usual different field as Neuronal Networks which usually prefer machine generated data as input, plus, often only simulate a much smaller part of the coretex as it is needed by humans to perform NLP.

At ai-claudio we have several thoughts on how to combine both of them with common tools, such as NLTK, wordnet, …

Here is someone elses project to do so:

https://github.com/numenta/nupic/wiki/Natural-Language-Processing

Numenta Plattform for Intelligent Computing (NuPic)

NuPic by Numenta – a deep learning system by sophisticated people.

By the time of writing this article our knowledge about NuPic is limited and these are mainly speech notes and first thoughts about the NuPic speech on the “oscon – open source convention” by O’Reilly in 2013.
We published the notes as we think NuPic is a great system and like its technical and organisational position. Please get your own impression about NuPic.

 

About the Theory

it’s basically based on “On Intelligence” by Jeff Hawkins (and Sandra Blakeslee), which is much about understanding the human “Cortical Learning Algorithm” to create a machine learning system as close to the Cortex as possible. So it is in a way, a very deep learning system which is based on simulation of a part of the brain.
They state, it is about a high-capacity sequence data-input to build pattern including a fault tolerance. The patterns are spatial as well as temporal.

read more…

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