Claudio Weck & Co. is about Research and Development as well as IT Consulting in the area of Artificial Intelligence, our fields of expertise are Human-Computer-Interaction, Natural Language Processing, Machine Learning utilising Neuronal Networks and Big Data in the Cloud. Our vision is based in human-centric Artificial Intelligent Systems.
Please feel free to send us a message or read through our research.
IMAGINE ... when you can have a digital twin
The future with A.I. might enable you to have a digital twin, he/she/it will be able to decide the less important things on your behalf – and even outlive you, telling later generation your knowledge, memories and tales.
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)
I think we should be very careful about artificial intelligence. If I had to guess at what our biggest existential threat is, it’s probably that. So we need to be very careful with artificial intelligence.
I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish. With artificial intelligence we’re summoning the demon. You know those stories where there’s the guy with the pentagram, and the holy water, and he’s like — Yeah, he’s sure he can control the demon? Doesn’t work out. [audience laughs]
Question: So I’ll take it there’ll be no HAL9000 going to mars?
Musk: Heh. HAL 9000 would be easy [to deal with in comparison to the AI he’s talking about]. It’s way more complex… it’d put HAL9000 to shame. That’s like a puppy dog.
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:
Andrew McAfee talks on TED about a prediction he makes – far automation and A.I. – and how society might should change …
we will talk about it more later on this site, so far, please watch it, it’s also partly answering Humans need not apply.
Humans Need Not Apply – is an interesting video about current and soon robotic and A.I. developments and it’s effects on employment of the masses and therefore the society.
We too believe that we have to think about those topics now, and will discuss a possible answer in a TED speech later. Here first the video:
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.
UDACITY is an online education well known by many experts from science and industry has a set of 3 courses with the topic “Machine Learning”. The first one is calles “Machine Learning: Supervised Learning”.
They are hold by
Michael Littman, Professor of Computer Science at Brown University and
Charles Isbell, Professor and Senior Associate Dean at the School of Interactive Computing at Georgia Tech