Tuesday, November 29, 2016
Saturday, November 26, 2016
Monday, November 21, 2016
Be Right Back… After I die.
What is a person? The most obvious answer would be a
combination of physical and psychological parameters that define a human being.
Now, think about how you interact with most people on a daily
basis. You speak to your friends on Whatsapp, you call your parents, you hear
about your relatives’ lives on Facebook. Does this mean that the XXI century human
being will no longer be physical?
The digitalization of our communications and life aspects
brings about a creepy thought: the companies that have access to our data
easily know everything about us: how and to whom we speak, what we like, what
we buy, who we care about, and much more. And, since you are reading MachinaAI,
you are already aware that they know how our intelligence works. Did you connect
the dots? Our personality can now be replicated.
In a not so long future, the organizations that control our
data could create our alter ego on an electronic device, mimicking our voices
and frequently used expressions!
This step would be a significant milestone for humans, as we
would no longer have to accept death, and denying it could become common. Calling
or texting your deceased husband, wife, father or daughter will become
possible.
Dying in the future will be a mere physiological need, and
our personalities and intelligences will be kept forever. This means that all
this plausible developments also have a happy side: mental and personality
disorders could become a thing of the past, and Alzheimer would no longer erase
a mind out of this world.
After all, sometime in the near future we could all meet in
San Junipero, and up until now
technology has brought us a better world to live in.
Saturday, November 19, 2016
Mirror Mirror On the wall…..do I look like a criminal or is it just false
While this bad rhyming might not make much sense to
you now, these were the first thoughts that entered my mind when I read the
most recent news on Artificial Intelligence. Two Chinese researchers, Xiaolin Wu and Xi Zhang from Shanghai Jiao Tong
University, have recently published a paper on Automated Inference on
Criminality using Face Images http://bit.ly/2gCnooR. Their paper is about whether computers can
detect if a human being is a criminal by analysing his or her facial features.
An interesting read do check it out.
Monday, November 14, 2016
Will machines take over the fashion industry?
“No area of life or business will be insulated from AI, in the same way that no part of society hasn't been touched by the Internet.” – Chris Dixon, partner at the venture capital firm Andreessen Horowitz
Slowly but surely artificial intelligence has been creeping
its way into our daily lives, impacting industries like Law, Tech and Sports Journalism among many. We have discussed how artificial intelligence
can help businesses scale personal services, build better products, and
optimize efficiency. The question remains whether or not the fashion industry
is prepared for the AI revolution, and in which ways this specific domain will
be able to harness the benefits of the rapidly growing trend.
Think of the last time you bought something online, what was
that experience like? You probably identified the desired website, scrolled
through their clothing selection in hopes of finding the apparel that fit your
price, size and design criteria. These interactions not only took time, but
they also didn’t guarantee full satisfaction. What would happen if online
shopping became a conversation instead? Shoppers could describe their ideal
jeans or dress of their dreams, and in the matter of seconds, an AI search
engine would match their criteria to the closest matches – think of it as your
personal AI shopping assistant.
In the last few years we’ve seen an increase in buzz words
like machine learning, neural networks, big data and algorithm matching. The
computing devices that we use on a daily basis have the capacity to generate an
enormous amount of data sets, which are ultimately analyzed, by deep learning
algorithms, in order to predict trends and identify patterns. With machine
learning processes, the more data introduced within the system, the faster and
“better” the machine learns to effectively perform its task. Under this
assumption, the fashion industry will be able to make use of machine learning
and the big data sets collected in order to predict trends and tend to consumer
behaviors.
The future of retail is just around the corner if AI manages
to deliver scalable and original one-to-one online shopping experiences. In
fact, various fashion houses have turned to technology and AI to offer their
customers more personalized and customizable services. ASAP54, dubbed
the “Shazam for fashion” uses AI and image recognition to build search engines for fashion. ASAP54 users
can snap a picture of someone on the street wearing an outfit they like, and
the application will be able to search through a huge database of purchasable
products in order to generate the closest matches to the uploaded item.
Similarly, Thread, an online personal styling service, partners eight human
personal stylists with machine learning algorithms that crawl through more than31 million customer-submitted ratings, and over 4 trillion item combinations in
order to recommend outfits to their customers.
AI’s ability to manage, analyze and remember a vast amount
of data allows it to scale up fast. The fashion industry would do good to jump
on the AI train while is hot, revolutionizing the way they do business, as well
as the way customers interact with fashion.
This past May 2016, IBM Watson joined forces with Fashion
magnate house Marchesa to design a unique “cognitive dress” for this year’s Met
Gala theme on Manus x Machina: fashion inan Age of Technology . The unique dress was data-driven,
embedded with LED lights that allowed it to change colors in real time
depending on the social media mood of users commenting through the gala’s
Twitter feed. Amazingly enough, the dress used the same kind of cognitive tools
that Watson has applied when famously beating the human champion of quiz show"Jeopardy". If you want to learn more about how the dress relies
on cognitive APIs and inputs in order to incorporate technology and fashion,
make sure to read this article, and watch the video below.
Thursday, November 10, 2016
Which political analyst best predicted Trump's victory?
![]() |
Donald J. Trump, a renowned tech geek |
Make Artificial Intelligence Great Again
Most polls and analysts suggested Hillary's victory was clear, but some sailed against the current and bet for Trump's triumph. And from all this outsiders, which was the most accurate? If you have been reading us for a while you may have already guessed: an Artificial Intelligence system.
If you want to know more, check this article written on the 28th October by the great Business Insider guys, explaining why this computer would be the most successful analyst in the States.
Tuesday, November 8, 2016
The
Nobel Prize in Literature 2025
A.I.
Yeah… this could happen! Now in 2016, some
companies are using robots to feed us with news! Major media companies are turning
to Artificial Intelligence (AI) to create and publish new articles for the
public.
If you think that article writing is not worthy
of a Nobel Prize, you are probably right. I was only exaggerating. But it is certainly
worth a Pulitzer Prize! In fact some major media companies such as the Fox
Group or the Associated Press are using automated writing to create new
articles for their readers.
Think about this, the exact moment when you are
exposed to the first online article informing you about an earthquake, or even
the short message you receive on your smartphone just a few minutes after it, is
most likely going to be produced without any direct human intervention. This is
possible because (in a simple way) Artificial Intelligence connects servers
with seismographs, translates and selects information to finally generate the
news. Crazy! No? Ok… Another evidence of Artificial Intelligence in our press
can be seen in a total different area. When you read articles about corporate
earnings, these news pieces are the result of programs that follow thousands of
companies and then automatically produce stories about their earnings reports.
You can be right… This entire paragraph on how
AI helps you to be updated about natural disasters or the evolution of the earnings
of some companies seems interesting but for sure not so “sexy”. But if you are
a sports lovers, you will find what I am about to tell you very peculiar!
Do you know that some media companies are using
AI to write articles about sports? It is true! Currently it concerns only a few
minor leagues, but an organization like the Associated Press is actually using
a software to write automatic articles about sports! It allows them to follow
tens of thousands of games, analyze an enormous quantity of data concerning the
players, teams and matches, select the most relevant ones, and… Boom! You have
a sports article fully written by a machine.
Do you think this is the future?
News regarding major leagues will be written by robots? Should sports
journalists be worried? I think so… But who really knows?
Finally, as you all know (well you should!) we
have the USA Presidential election! Who is going to win? Let’s wait. But this
is not the main question. The main question is….what if Mrs. Clinton’s or Mr.
Trump’s winning speech was written by a machine? The idea that the message of
the future leader of the USA; a message that is shared by the press to millions
of citizens, is the result of a robot’s work is so chilling! Well it is possible!
It is not likely to happen… but an algorithm created by Valentin Kassarnig, who
works at the MIT, allows us to generate great automatic speeches! He just made
the life of our politicians much easier with this invention!
But do you think we will trust a
robot to decide what to say? Probably not… I don’t know if those speeches will
always be better that the ones written by humans, but I will at least give them
a chance.
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