Felicity would you like to go out to dinner with me.I'm being serious here
Oliver .SO sm I. I don't read too much into this but are you asking me out on a date?
like an actual date like a date date shit I mean the implication being with
thinner than you usually I'm the one talking incidence fragments
would you like to go to dinner
Queen PArty of two
I
what nothing I'm just nervous
and first behind me gosh needs just a water patient this Debus might sort of
help with the oh yeah it's not going to make fun of the three benzos am I being
crazy I mean what do we have to be nervous
about well we've already exhausted every topic that one would normally talk about
on a first date and a second dateand a third and every day actually and I've already seen
you shirtless multiple times
For more infomation >> Friends go on a date. How will it end?- Scenes from ARROW - Duration: 1:50.-------------------------------------------
Adobe Think Tank: How will Artificial Intelligence (AI) in the Enterprise Impact Humans? - Duration: 10:12.
- Welcome to this addition of the Adobe Think Tank.
I am Daya Nadamuni, with Adobe's Corporate Strategy Team
and with me here today is Chris Benson.
He is chief scientist for AI, artificial intelligence,
and machine learning with Honeywell SPS. Welcome Chris.
- Thank you very much
Great to have you here.
- It's an honor to be here.
So, okay,
so what do you think
CEOs and other leadership should be thinking about
and collaborating on around AI,
at this moment in time?
- Well we're at a very special moment,
in terms of what technology is doing to business.
We really need to change the way we're
going to serve our customers and produce the products
and services that we need to fulfill
the customer experience that they're expecting from us.
Doing that we have this moment where we've gone through
the digital revolution and as part of that
we're hitting this point where AI has finally,
after decades, become a reality.
And in doing that, it is, the speed of business
is accelerating at such a rate,
that we need to start changing
the way that we're approaching it.
I'll give a few examples here.
We suddenly have found ourselves,
after many false starts in AI,
to where we have more data than we know what to do with
and it's growing exponentially all the time.
We call it big data.
We also have compute capability that is in the cloud,
it's out on the edge and so there's the
ability to do calculation that's never been there before.
And so suddenly we have this ability to take
this new tool set, which is a bunch of algorithms
that we call AI and with some specific tool kits,
things like deep learning, that we can now apply
to customer experience and get pretty amazing outcomes
compared to things that we've done in the past.
And so, this is a moment where senior executives
at companies big and small need to be thinking
how can they use these tools to better
enable those customer experiences.
One of those is to recognize that
we're in an age for the first time ever, where
we don't know exactly what the next step is,
what the future holds.
It's moving too fast and it's changing too often.
So it really requires that you organize your
company around a learning structure.
So you need to be a learning organization,
you need to be able to think like a startup
and fast fail your way into a great path
for the customer experience that you're trying
to create for your customers through
your products and services and so I'm always
urging people to, where ever they're at in
their career, whether they are fairly new or old,
to take their cup and pour it out
and accept that they need to refill it.
And it's not a one time thing, it's something they
need to start doing more and more
often as things accelerate.
In doing that find the best customer experience
that your customers need and how to apply
these specific tools for that.
Given the need for continuous learning,
and the fact that we don't know what,
you know we can't see around the corner
quite as well as we would like to.
What are some best practices around
integrating, you know, deep learning
into your enterprise architecture?
What advice would you have for brands and enterprises?
- Yeah, well one thing is to keep it in perspective.
There's a lot of hype around AI
and deep learning right now.
It really, it's a specific tool box that
is very good at specific problems.
And so the first thing is to recognize is,
that it's not magic and it's not the
solution for all problems.
And you need to begin evaluating
your business challenges against
all the tool kits in software development
and data science, in general,
and find the ones that are,
that lend themselves to AI and deep learning solutions.
Which tend to be very complicated problems
that other tools have not been sufficient
in solving for you, and so–
Then you, kind of,
rapidly experiment your way into saying,
Do I have an AI tool in my AI toolbox
that can solve this problem,
where as I may not have been able to solve it before.
Or I can solve it, at much higher fidelity.
So it's a very practical and pragmatic approach
instead of a big buzz word, you know,
magic kind of approach.
Think of it, think of your deep learning team
as another software development slash data science team.
They are going into a project, they evaluate it,
make sure they're the right team for it.
The tools that they think are appropriate,
are in fact and you validate that.
And then you take a small bite out of that problem
and go try and solve it with this
and see what you get.
One of the challenges, you don't want to try to go
make, take too big a chunk, like anything,
even outside of AI, too early.
Take small things, when you have quick fails,
learn from them, find the right path,
and find your way into success.
So be very practical, be very pragmatic
and that's how you'll find success in it.
- So, which brings up a good point.
Are there specific classes of problems
or types of problems that would lend themselves
better to deep learning than something else?
- There are, so and some of them are
being widely used right now, I mean,
some of the very obvious ones are
natural language processing.
That field has been around for a long time,
but deep learning is starting to revolutionize it,
in that, there are–
there is a lot of variability in it.
There is a lot of nonlinearity in it.
These tools are really good at
solving problems with those characteristics.
Another thing would be machine vision.
There is a type of AI called a
convolutional neural network,
which is very popular right now
for driving machine vision solutions
and the reason is, is that neural networks
are really good at finding hard
to detect patterns in data that
human beings or lesser data science tools
are not so good at finding.
And so if this sounds like a problem that
your company might be facing then say,
okay well we tried it with smaller data science tools,
things that are not quite as sophisticated,
maybe this the right time to try a neural network
and see if that works for you.
- Okay, so find the right solution
to what you want to apply or find
the right problem to what you want apply
the deep learning solution?
- That's correct.
- I think a lot of it is, sort of, customer facing,
you know large volumes of data,
where you can really try to solve
the business problem.
- Absolutely
- And improve the customer experience.
- Absolutely and specifically looking for those
problems that your other tools,
you have tools in you tool belt if they have not
been sufficient to solve it,
that's when you want to turn to neural networks
and say, is there an architecture here,
within this world that might help me get there.
- That sounds, very intriguing and full of possibility.
- Yeah
- Especially for brands and enterprises.
- There is an investment you have to make.
- Right
- To be able to accomplish that
and that because it's computationally intensive,
there is a lot of math, fundamentally
it's all math under the cover.
So you need to be able to have people
that understand that, train them up.
Whether they be existing data scientists
or mathematically inclined software engineers
or whether you're bringing people from the outside.
There is a huge demand for this
and you also need to get your infrastructure in place.
Not only for the calculation itself,
which might be in the cloud
or it might be a super computer that's
designed for deep learning
or some other
collection of computing devices
that you've put into place for this.
But, beyond that you need to get your
data infrastructure as well too
because data strategy, which may evolve with that,
is pretty crucial.
I think if there is one way to finish this is up, it's that
I've seen companies that are successful
in this space, really focus on a data strategy
that supports their AI strategy
and that can evolve with that AI strategy.
They figure out how to get all that data
they're gonna need for AI training
in place and usable as, before they go into the AI training.
- Perfect.
We talked a lot about data strategy
and we talked a lot about algorithms and machine learning.
When it comes to creativity, what's your optimism
around some of the skills,
that are pretty much human,
and irreplaceable, no matter how advanced
an AI algorithm or a machine learning algorithm could be?
- Well you've just identified what,
maybe, the most important one and that is creativity.
And if there is–
Computers, AI driven computers
can be very good at attacking
problems that are very task specific.
We've seen instances in the news
where you'll have a very specific type
of thing where a computer gets better at it than a person
or a computer and a person together, you get better at that.
The place where I think humans will have a firm
place of there own, without computers, is in creativity.
That's not to say that we will never see
facets of creativity in computers,
but that's something we're really good at.
Making those associations in our brain,
our memory system, it's something that is,
going to take a long time for AI to ever get to.
- That's fantastic.
Well, we're at the
end of this episode of the Adobe Think Tank.
Please tune in again for more episodes.
Follow us on twitter #abobett.
Thank you Chris,
- Thank you very much,
- It was a pleasure to have you here.
- It was my delight, thank you very much.
-------------------------------------------
MELANIA'S HAD ENOUGH: What She Just Declared Will Put Her Critics To SHAME - Duration: 1:17.
The First Lady came out swinging Wednesday slamming her critics who have been speculating
rumors of her whereabouts.
She finally had enough and took matters into her own hands.
Wednesday afternoon she took to twitter blasting the fake news and putting them to shame.
First Lady Melania Trump tweeted:
I see the media is working overtime speculating where I am & what I'm doing.
Rest assured, I'm here at the @WhiteHouse w my family, feeling great, & working hard
on behalf of children & the American people!
First Lady Melania Trump hit back at the media amid speculation over recent lack of public
appearance since May 10th where she joined President Trump in welcoming three Americans
released from North Korea.
Four days later, the White House announced that the First Lady had been admitted to Walter
Reed National Military Medical Center to undergo minor surgery.
Melania notes in her tweet that she is working hard on behalf of children and the American
people.
At the beginning of May, the First Lady announced her new official initiatives rolling out her
encouragement to the children of America with two simple words to encourage and nurture
one's "self-esteem" and "mutual respect."
Her motto is: "BE BEST."
-------------------------------------------
HAPPENING NOW: Trump's Next Pardon Will ROCK Obama to HIS CORE - Duration: 1:43.
President Trump is about to undo one of Obama's biggest "Deep State" moves when he pardons
conservative writer and powerhouse Dinesh D'Souza.
Trump announced on Thursday that he will pardon D'Souza, who was convicted by Obama goons
for violating federal campaign laws in 2014.
The President correctly stated that D'Souza was treated unfairly by our government, and
will give him a FULL pardon!
This is GREAT news!
From The Hill
President Trump announced early Thursday that he would be pardoning conservative author
Dinesh D'Souza later in the afternoon.
"Will be giving a Full Pardon to Dinesh D'Souza today.
He was treated very unfairly by our government!" Trump wrote on Twitter
— Donald J. Trump (@realDonaldTrump) May 31, 2018
D'Souza pleaded guilty to violating federal campaign laws in 2014 and was convicted of
a felony.
He was charged with illegally organizing $10,000 campaign donations from two people for Wendy
Long's 2012 Senate bid, which she lost.
D'Souza and Long were friends at Dartmouth College, and he remained a supporter of Long
when she ran as a Republican for Senate.
Trump's decision to pardon D'Souza comes one day after he met with reality TV star
Kim Kardashian about prison reform.
Kardashian has been advocating for a pardon for Alice Marie Johnson, a 65-year-old woman
who is serving a life sentence in prison for a nonviolent drug offense.
So far, Johnson has spent more than 20 years in federal prison.
This breaking news story will be updated shortly
-------------------------------------------
Will the May jobs report trigger a shift in Fed behavior? - Duration: 5:11.
For more infomation >> Will the May jobs report trigger a shift in Fed behavior? - Duration: 5:11. -------------------------------------------
10 People You Won't Believe Actually Exist | Amazing People You Will Never Believe Are Real - Duration: 11:20.
10 People You Won't Believe Actually Exist
Amazing People You Will Never Believe Are Real
-------------------------------------------
Google reportedly planning Pixel 3 Official for October and the XL model will have a notch - Duration: 10:22.
Google reportedly planning Pixel 3 Official for October and the XL model will have a notch
-------------------------------------------
Cute cartoon cats have a black twist that you definitely will not see (part 3) - Duration: 3:35.
For more infomation >> Cute cartoon cats have a black twist that you definitely will not see (part 3) - Duration: 3:35. -------------------------------------------
Lim Junghoon: Will Give My All to Challenge More Strong Players - Duration: 3:54.
Just now we heard he said he felt
XX was not on form and capitalized on his weakness in the match
What are those weaknesses that helped him win the match?
XX's weaknesses
I don't know the technical term
Pull hand drive
English, do you get it?
It's the forehand loop that he kept missing
a little too many
So he locked on it
He wasn't on form
and he won
What did he do for preparation beforehand?
He said the opponent's...spin is...the strong suit
so he worked on that part
Did you study many match videos of XX?
He said he's been watching tons since a little kid because he likes him very much
Could you tell us how old you started watching?
He started watching at 5 or 6
What are his goal and expectations for this tournament?
He said as best as he could achieve would be the best
But since there're many strong players
so he hopes to be able to give his all
Subbed by zeio
-------------------------------------------
HAPPENING: Trump's Next Pardon Will ROCK Obama to HIS CORE!! - Duration: 2:51.
For more infomation >> HAPPENING: Trump's Next Pardon Will ROCK Obama to HIS CORE!! - Duration: 2:51. -------------------------------------------
Rudy Just Sent A Terrifying Warning To Maxine That Will Shut Her Mouth For Good - Duration: 3:06.
Rudy Just Sent A Terrifying Warning To Maxine That Will Shut Her Mouth For Good
Rudy Giuliani was in a blockbuster interview on The Hannity Show and was he on FIRE!
And woe!
In a heated castigation he calls out Maxine Waters in a effortless way!
The former Mayor of New York, calls out Maxine Waters and triple dog dares her to make her
tired old battle cry of "impeachment"!
Some people have criticized my strategy.
Such as, the President.
To some extent for playing to the American people.
If this were a regular case, I wouldn't be doing it.
But the people who decide this are the people of the United States in the 2018 election,"
Rudy begins.
"And boy, they are switching fast.
And the Democrats are running for cover.
You don't hear them say the words IMPEACHMENT anymore."
Then in a clear voice, Rudy says: "I challenge Maxine Waters… to say IMPEACHMENT.
Say it.
Say impeachment, sweetheart!
Just say it!"
Furthermore, Rudy says to her, "And you know what's going to happen?
You're going to go down.
Not maybe you, because they vote for you.
I don't know why.
But they vote for you.
But your colleagues are going to go down."Giuliani says, "And this is the change that we've
brought about by engaging and not letting them get away with the unethical behavior."
Then Rudy tells who the Judges are in New York court system who are not happy with the
democrat narrative right now.
He states, "That has now outraged Judge Ellis.
Judge Wood.
You know what she did?
She threw out Avennati (Stormy Daniel's lawyer), the television star of the left-wing
CNN, and MSNBC.
She threw him out of Court.
He doesn't belong in a New York court!
He's not ethical enough," Giuliani tells it ALL!
Rudy continues, "You know why?
Because he's a BIG LIAR.
And he wanted to debate me.
The hell he's not going to debate me.
He needs to go debate some agenda," and Giuliani wraps it up.
In ending, Sean Hannity gives a summation, he says, "You said here tonight.
That if Mr. Mueller tries to subpoena the President that you will fight this all the
way to the Supreme Court."
Then Sean adds, "Mark Levin has said that the Constitution is on the President's side.
Judge Ellis' comments, this going back to a 2005 tax case with the Ukraine and Paul
Manafort, to put the screws to the President so that Manafort sings or composes some supporting
perjury.
And in hopes that they can prosecute or impeach the President."
-------------------------------------------
Will the Russell 2000 be impacted by Trump's tariffs? - Duration: 2:00.
For more infomation >> Will the Russell 2000 be impacted by Trump's tariffs? - Duration: 2:00. -------------------------------------------
5.31.2018 Ethereum vs Ripple - Which Cryptocurrency Will Win - Duration: 21:35.
BK is the Boss of Bitcoin and is not the Clown of Cryptos from CNBC Fast Money. Having received recognition of academic distinction by The Ohio Board of Education, Kaplan Institute, The University of Notre Dame, Stanford University, and Northwestern University Kellogg School of Management - content on this channel is identified as educational in nature and design. Therefore, any viewer should note that topics discussed are that of an academic exercise, and are thus applicable for any and all fair use privileges. All information and ideas expressed by any individual or organization on this forum is an exercise of freedom of speech, does not necessarily represent the actual views or opinions of its originating contributor, and most certainly does not represent the views and opinions of any affiliated company. Any contributor to this channel does not waive their rights, recognition, classification, association, or status as state sovereign nationals. This channel recognizes and supports the rights of free expression and speech. Freedom of expression protects information, opinions and ideas of all kinds. The Internet is a public good which has become essential for the effective exercise and enjoyment of the right to freedom of expression. If you choose to apply this information to your own personal life, then you recognize that you are therefor exercising your constitutional right to freedom of expression. Do not invest money you can't afford to lose. Content may contain affiliate links to products. Contributors to this channel dedicate time to pay it forward and help those in need with lifelong financial self preservation. If any of this information helped you please support the channel on our Patreon Page: https://www.patreon.com/bkcryptotrader Every day we discuss new topics, and the purpose of this community is to provide educational information on cryptocurrency trading and other Fintech products. Additional news topics that may be discussed include various products in the crypto verse such as Ripple (XRP), Litecoin (LTC), and Ethereum (ETH). Topics discussed will include: Bitcoin trading, how to trade bitcoin price 2018 2019 2020, bitcoin trading tutorial, and cryptocurrency technical analysis. It should also be noted that altcoin trading, altcoins, finance, blockchain technology explained, and trending bitcoin news is discussed as well. Thank you for your support. Stay Cryptic Y'all. BK
Không có nhận xét nào:
Đăng nhận xét