Posts Tagged ‘Artificial Intelligence’

Harvesting Gaia Intelligence

Wednesday, September 12th, 2012 by Roberto Saracco

Make your idea brighter by leveraging on crowd-wisdom

Crowdsourcing is now being leveraged in several fields, as I had the opportunity of posting from time to time. There is also another trend developing, the mixing of biological intelligence with the computer based intelligence (AI…).

Add these two trends together and you understand what researchers at Rochester University are doing with their Chorus system.

Crowdsourcing has started as a way to amass the wisdom of many people using mechanisms to average out the responses and to pick those that might be most valuable. What Chorus does is to intercept chat discussion to extract the most meaningful answer to a query.

Chorus is a crowd powered chat system where the computer (Chorus) is actually the one chatting with you as you voice (type) your queries. The perception is to be talking to a real person, since the answers are a concentrate of answers provided by real persons on that topic.

There are now a number of companies working to leverage crowdsourcing power, like MobileWorks. We are moving one step up the ladder. The first one was to have the FAQ (frequently asked questions) prepared by an expert, the second was to open up discussion board having people asking and answering and providing a search mechanism to look at the various answers. Now, given the growing number of available answers coming from different people researchers are learning to apply Artificial Intelligence techniques to extract meaningful content from those crowdsourced data banks.

I guess a further step will come as more of these answer creating systems will become available so that meta answering systems will start to emerge, and one further step will be the AI answering systems evaluating the usefulness of the answers and challenging one another to improve them.

As things are becoming part of the Web, and Gaia goes on line, my bet is that we will see more and more objects participating in the crowdsourcing data creation…

When should I plant my corn?

Thursday, September 6th, 2012 by Roberto Saracco

Squeezing all of this into your cell phone!

Remember the IBM computer that won at Jeopardy, the television quiz show? It was Watson, a supercomputer able to understand spoken voice and find in a few millisecond the right answer to that question.

Now IBM feel they can move this capability inside a cell phone to let me, and you, ask whatever question is nagging and find an answer. That is telling a lot on the continuous progress of computer power and of the use of cloud based services.

Watson was a supercomputer made of ten racks of IBM 750 servers, delivering a processing power that compared to the ones provided, at that time, by 6,000 desktop computers.

Watson 2.0 would make use of the processing power in your smart phone complemented by the one provided in the cloud. Quite a challenge, since only few years have gone by from Jeopardy…

Actually, today’s processing power in your hand would not be sufficient, but IBM is betting that by 2015 that would be the case. And at that time they expect there will be a business close to 15 billion $ in the area of biz analytics, the one they are targeting.

Watson 2.0 will be able to answer questions like “when should I plant my corn” to a farmer in the middle of his patch talking to his smart phone, but should also be able to answer medical questions about one’s health problem and do so by accessing medical data and consulting with doctors.

As such it goes far beyond Siri, and it approaches a thresholds that might be even beyond the Turing test. Actually you can tell, by talking to Watson 2.0 that it is not a human, it is actually too smart to be a human!

McLuhan, 100 years ago…

Friday, July 20th, 2012 by Roberto Saracco

I spent the morning in an event closing the 100 years since the birth of Mc Luhan (he was born on July 21st, 1911) and I presented some thoughts on the impact of technology in our life. I wish to share them on this blog as well.

Technology has become a sort of metronome pacing the rhythm of our life and shaping our habits. In a way it has always been the case but in these last hundred years its continuous and quick evolution has influenced even more social changes and emphasized even more the gap among generations.

It has been estimated that the amount of information produced by human kind since Homo Habilis over a million hers ago and 2003 could be stored in 5EB, 5 billion billion bytes. Well, in 2010, we have produced 5EB every 2 days and the forecast is that next year, in 2013, we will be producing 5EB every 10 minutes.

This is made possible by technology but it really happens because each of us has internalized technology that now has become a sort of prosthetics for our communication capabilities. These EB are by far the result of the production and communications of each one of us, taken all together. The magic of Internet is the capability to transform that individual local communications into a global communications.

All of this happens in background. As a matter of fact each of us think to  perceive technology but we perceive technology evolution, sometimes with awe sometimes with concern. Most of the time we use technology without perceiving it. And this is the technology that really impacts our Society and our life because it has become entrenched in our way of living, is an integral part of our context.

That is why technologies like the conversion of the voice in electrical signals, the telephone, that at their birth were strangers to us became over time part of our world, and we absorb them completely as the way of life. Hence, when in the 70ies a new technology allowed video communication through the phone people did not like it at all. Communications was something that go through the handset, not through a video. This latter felt weird! And this in spite of the fact that our animal communications is visual as well as based on voice, inflections, tone, volume.

For the youngster, that were born with multimedia communications this latter  is to be the “natural” one.

What does technology offer? It offers the possibility to create a correspondence between the physical world mad of atoms with the virtual world made of bits. This correspondence is achieved through sensors, like videocamera, accelerometers, microphone,…All of them can capture our communications, our wandering on the web, images of ourselves and our social networks, our experiences and our emotions. And our cell phone is probably one of the most important tool for creating this correspondence.

These technologies are on the way towards disappearance from our perception and hence they start to affect our way of perceiving reality and the way we interact with it.

There are new technologies appearing but they too will follow the path towards disappearance: augmented reality, tactile interaction both physical and virtual (this latter refers to the possibility of mimicking texture on a vibrating screen), the aggregation of social networks on a point in space, on an object or on a point in time…

They are still in research labs but within a few years they will get out to become curiosity and gadgets  and later on part of them will become part of reality.

Technology, however, really changes the world because it decreases cost and free our time.

Buying a banana today means paying 20-50c, in spite of the fact that such banana in our hand is the result of a value chain started by a farmer who tilled the tree, harvest the banana and loaded it on a truck. The truck took it to a ship that traveled thousands of miles to deliver it to another truck for delivering it to a grocery store where somebody placed it on  a shelf for us to pick it up. And all of that is part of the 20-50c price! This magic happens because of the huge amount of technology, including information and communications technologies.

Technologies frees our time from chores. Lighting a room for one hour in Babilonia required sesame oil in a lamp and that implied over 50 hours of work. Lighting a room for a hour in the seventeen century with a tallow candle required 6 hours of work but lighting a room with a kerosene lamp in the XIX century required only 15 minutes of work. And today? Lighting a room or a hour with a light bulb requires about 0,5 seconds of work.

It is clear that the availability of a huge set of affordable goods and the availability of more time to dedicate to other activities expand our possibility to live in a digital world. And this is a virtuous circle. As more people connects to the digital world, the more market for that digital world will expand its capabilities and decrease it cost making it affordable to more and more people.

The digitalization of the “person” falls into this framework and today we have already moved beyond the imagination of McLuhan futures. We already have services that create a partial clone of a person in the digital world (if you think about it the gramophone was in a way a first example of extending the life of a singer by recording his voice and playing it beyond his physical life). Artificial intelligence is now brushing close to the Turing challenge and it is bound to beat it soon, thus resulting in a digital person that can live its own life departing from the one that mirrored at the time it was created. Read the book “Mind’s I” to see what I mean.

Do we want these evolutions? Surely NO. We live, culturally, in the past. However, the new generation, the young people 10 years old, are living in what, for us, is the future but for them it is the present, it is every day life.

Sure, they will get older and will look with some concern at the future, but for them too there will be a new generation more than willing to live such a future.

A new journalist reads in many languages and reports in real time

Sunday, July 8th, 2012 by Roberto Saracco

A research program of DARPA, Auto-Text to Knowledge is about to release its results. By the end of this year the project will provide the Pentagon with almost real time summary of articles being published all over the world in many languages. The summary will be in English and will look like one written by a good journalist able to get the gist of what is being discussed in the article and summarizing it for a quick brief.

The point is that no journalist is involved. The work is being done by computers that keep scanning news sites, analyze articles and summarize them, also establishing cross connection to get the overall picture.

We already have programs, like FlipBoard, that are able to do a very good job in extracting articles from many sources and publishing them in an online magazine like form. Now it will be possible to have the summary of articles for a quick scan.

The technology involved is quite complex and push the boundaries of computer intelligence. The computer has to make sense of what is being written and has to put that into a context. Furthermore, to compare what is being written in different places about a certain topic it has to understand the different points of view. There is basically no limit to the sophistication involved (it may go beyond the capabilities of a human journalist….). Think about comparing a political news as reported by a Syrian newspaper (tied to the present government) and one reported by a European newspaper that is opposing the Syrian government. The fact might the the same but the way it is reported may be completely different!

I am really curious to see the extent of “smartness” that is achieved in this very ambitious project. Notice that they target “knowledge” and that is a very tricky area. You understand immediately what knowledge is but as soon as you start looking into it it becomes very fuzzy indeed…

It is clear that this is the way to the future of browsing the web, having automatic oils that can do the browsing and present a summary of what is out there. The question is how can we trust them? Already today Google claims to be transparent in its reporting of links to your query but is that really the case? Having placed a link in the 10256th page is probably the most efficient way of hiding it, rather than disclosing it! Formally they can claim they are giving the information to you, but in practice by choosing what goes in the first (few) page(s) they are steering you to very specific places… and it is their decision, not your.

Tools that will summarize news will pose even greater issues, particularly if they claim to provide us with “knowledge”. New possibilities are around the corner, and new challenges we never considered before will need to be faced.

Let’s go study at Stanford…

Wednesday, March 28th, 2012 by Roberto Saracco

Yes, you can do it, and at no cost. Not a full master, but you can follow some of the courses, taught by first class professors. Like the one on Artificial Intelligence. This course has been attended by thousands of students worldwide and it marks the beginning of a new era in top education … at low cost!

As you can still read on Stanford’s web site:

A bold experiment in distributed education, “Introduction to Artificial Intelligence” will be offered free and online to students worldwide from October 10th to December 18th 2011. The course will include feedback on progress and a statement of accomplishment. Taught by Sebastian Thrun and Peter Norvig, the curriculum draws from that used in Stanford’s introductory Artificial Intelligence course. The instructors will offer similar materials, assignments, and exams.

The “experiment” has turned out a success, as witnessed by the hundreds of enthusiastic comments by students who followed it.

You can watch the lessons on You Tube.

I can see in just a few years a rapid increase in the number of high level – high quality courses offered on line, most of them for free. Possibly, you will have to pay to give the exams or to access labs. It is not just about getting free education, it is about getting “better” education, indecently of where you live. This can change the world, since we will have bright students, that today are out of the top schools because of distance and money, follow these lessons and become an asset for the whole world.

Getting rid of the chaffeur!

Sunday, January 29th, 2012 by Roberto Saracco

Ever felt green with envy for those top brass moving around in nice car and reading a newspaper since the chaffeur is taking the burden of driving around?

Well, technology is promising to deliver us a personal chaffeur embedded in the car! Take a look at this video:

And also read the articles on driverless cars and on autonomous systems.

Clearly technology has made amazing progress. Today you can feel if the plane you are on is under the control of the auto-pilot or if a human pilot is flying it. And you can tell because the flight is so much smoother when the computers are in control…

Add to this the fact that in most flying accidents pilot’s mistakes are involved. Clearly, this does not prove anything. It does not provide any figure on the instances where no accident occurred because the pilot skill saved the day, and I suspect there may be many of these instances.

If everything is going according to plan I have no doubt that computers fare much better than us human being. We tend to become distracted, to lose focus and to act unpredictably. Not so with a well designed computer.  But is something goes not according to plans then the computer, that needs to have a plan to follow, is lost. And this is where we are still superior machine. Our brain embeds so many different plans and can select one out of many other in a blink of an eye, to cover with unexpected situations. Of course this is one way to see what is happening inside our skull. A different vision is to imagine that our brain is cable to create a new plan to fit the new circumstances…

These two visions have a correspondent in the Artificial Intelligence domain: for many years scientists have tried to find out ways to “invent” new plans within a computer with results that have been interesting but remained short of meeting the goal. More recently, the abundance of resources, data, processing… and the use of statistical approaches mining big data have provided a new way to extract (create?) information and take decision. In a way, it is much more like what is going on in our brain, according to most recent study. Rather than an automatic machine our brain is an autonomous system able to finely tune its responses by mining a multitude of data. The behavior is an emerging property of the way we accumulate and interact with data.

This is why I feel that the furthering of study on autonomous systems is key to  more “intelligent” future.

Artificial General Intelligence or (still) a Narrow one ?

Monday, September 26th, 2011 by Antonio Manzalini

The original goal of AI was developing “thinking machines”, i.e. machines with human-like intelligence capabilities. Due to the challenges of this goal, the last few decades have been more focused on the so-called “narrow AI” i.e. developing methods with limited intelligence ambitions and more focused on highly constrained tasks.

Recently, however, there is return of flame back to the original ambitious goal, under the name of Artificial General Intelligence (AGI). Have look at this nice talk:

http://www.youtube.com/watch?v=x18yaOXBSQA

OpenCog is an open-source software initiative which aims at providing research scientists and software developers with a common platform to build and share artificial intelligence programs. The long-term goal of OpenCog is acceleration of the development of AGI. Framework includes components for knowledge representation (AtomSpace), task scheduling (CogServer), AI algorithm containers (MindAgents), connectors to instant messaging and virtual world systems, and other components.

http://opencog.org/

Nice bottom-up initiative, but one of the main concerns which makes me cautious in believing in “this” way toward mimicking real human intelligence is still how it will be possible capturing it and above how mimicking all humans forms of irrationality (with these, which to me, are advanced but still in-the-box approaches).

With traditional computing systems and programming methods “narrow AI” makes still more sense.  Neuroscientists say that brain is the best parallel fabric for integrating together processing, communication and storage; we know also that it does not use Boolean operations on defined stable states but it is likely that it involves complex dynamics transitions to code and to elaborate information in an highly parallel and distributed way.  So, the way to mimic brain is still unclear. And even before this, what real “intelligence” it is exactly.

Have you gisted today?

Saturday, August 27th, 2011 by Roberto Saracco

Getting a gist means getting a rough idea about something. You may not be an expert in a certain field and by listening to somebody giving a lecture you are not becoming an expert but you get a “gist” of what that field is about.

Google translator has become the tool for getting a gist...

Now “to gist” is starting to be used to mean “getting a feeling” of what a text, written in a language you don’t know, is about. And to get “the gist” more and more people are using Google Translator.

According to Technology Review, the use of Google Translator is growing significantly and it has been started to be used by the US Government to check the content of messages and web pages. It does not provide a good translation but it is sufficient to understand what that particular text is talking about and if something looks suspicious than a hum a translator steps in.

Today, Google Translator provide a “gist” in 60 languages. It is quite far from a human translator.

Look at this sentence in Italian (from one of our most famous books, I Promessi Sposi):
Quel ramo del lago di Como

che volge a mezzogiorno
tra due catene non interrotte di monti
tutto a seni e a golfi

Gets translated in this sentence:

That branch of Lake Como
that is coming at noon
between two unbroken chains of mountains
in all breasts and a round of golf

The first and third lines are pretty good but the second and fourth are completely off mark (they should be translated something like: “that is orientated to the South”, and “full of promontories and bays”).

Still, if you are completely at loss in a foreign language, as all of us are for the majority of them, using Google translator is a good step forward. You can read a web site in Arabic or Chinese, take a look at what Libyan newspaper are saying and so on. This is something that was impossible just few years ago and that is already changing our grasp of the world.

OK. let me stop here, now I need to gist some blogs in Chinese.

Is this the century of the Brain?

Tuesday, November 9th, 2010 by Roberto Saracco

Several scientists speculate that the advance in the understanding of the human brain will characterize so deeply this century that in the future our century will be known as the “century of the brain”.

It is somehow peculiar that if this will, indeed, be true it will be because of the progress in information technology and processing capacity.

Over the past decades there have been several attempt to solve the riddle of the brain, looking at the way it reacts to a variety of stimuli, looking at the way the neurons work, looking at the architecture of connectivity and so on.

Recently the availability of instruments, like the fMRI, have allowed researchers to look at the brain at work and the availability of tiny electrodes has allowed direct stimuli to very specific areas of the brain.

All of this has augmented our gross understanding of what is going on but we are still far from a real understanding of the overall and specific working of the brain. Scientist believe that such a complete understanding can only derive through a mixture of different approaches and techniques and in turn this requires the construction of a model that faithfully represents the hundreds of billions of neurons and their connecting circuits.

Software engineers have developed over time reverse engineering technologies able to derive an understanding on how a program works by looking at its instruction. Now researchers are trying to apply the same principles to come to an understanding of the brain.

IBM has undertaken a reverse engineering of a cat’s brain by modeling 1.617 billion neurons and 8.87 trillion synapses, a feat requiring 147,456 CPUs and 144 TB of storage, made available by the Dawn Blue Gene/P supercomputer.

The image used in the article to picture the cat brain reingeneering

The image used in the article to picture the cat brain reingeneering

Researchers are expecting to learn the workings of the cat’s brain and that would help understanding the workings of our brain, even though our brain as a complexity that is one to two orders of magnitude higher (just the cortex has an estimated 22 billion neurons – twenty times as much- and 220 trillion synapses -30 times more).

Take a look at the paper published last year,

http://www.hplusmagazine.com/articles/ai/race-reverse-engineer-human-brain

and also http://technology-report.com/archives/1792 where you can find an interesting forecast: the modeling of our human brain by 2018!

A final understanding of our brain is both amazing and scaring. However we can see it, the benefits may be immense in curing mental disorders and senility, this latter bound to become a real issue as population gets older and older.

From a telecommunications point of view understanding the brain means understanding new and most efficient communications paradigms enabling low energy processing of information and potentially decreasing the bandwidth required to convey meaningful information.
But it can also mean that worldwide telecommunications infrastructure can actually create a new fabric for artificial intelligence by linking billions of processing nodes!

Memristor: it is getting closer

Saturday, April 10th, 2010 by Roberto Saracco

July last year I made some comments on the memristor: http://www.blog.telecomfuturecentre.it/2009/07/23/memristor-when-theory-leads-the-way/

Now HP has announced a working memristor, 3 nanometer in lenght that can switch on and off in one nanosecond.  Last year they had a prototype that demostrated the principle but it was not suitable for manufacturing. In less than a year the situation has changed.

No forecast was given last year on the commercial availability of memristor chips, now HP has indicated they expect to have a commercial product on the market in three years, by 2013. It could compete with flash memory, not in storage capacity (the expectation is to have a 20 GB chip first on the market, whilst at that time we will have 1 TB flash memory chip) but in the capacity of remembering the “history” of use. That, as I noted in the blog last year, opens up the space to a new way of creating Artificial Intelligence, since it will have one of the basic properties of our brain. You can get the same stimula twice in a row, but the second time it will feel…different!

http://www.engadget.com/2010/04/08/hp-touts-memristor-development-bleak-future-for-transistors/

http://www.nytimes.com/2010/04/08/science/08chips.html

This is also bringing us a step closer to natural ecosystems where events are never exaclty creating the same response from the ecosystems. I can imagine some interesting applications in the retail space to get closer to shoppers mood…