# Google AI Google Just Shut Down It’s Artificial Intelligence After It Revealed This: What Does It Mean for Your Business?
## O que são leads orgânicos e como eles diferem de leads pagos?
### Leads orgânicos
### Leads pagos
### Diferenças entre os dois
## A importância dos leads orgânicos para o sucesso do seu negócio
### Maior alcance e engajamento
### Custos menores
### Maior confiança
## Otimizando seu site para os mecanismos de busca
### Pesquisa de palavras-chave
### Título e descrição
### Conteúdo de qualidade e relevante
### Links internos e externos
### URL amigável
### Imagens otimizadas
## Criando conteúdo engajador para gerar leads orgânicos
### Identificando o público-alvo
### Escolha de temas relevantes e interessantes
### Criação de um calendário editorial
### Utilização de palavras-chave
### Estruturação clara e objetiva
### Uso de imagens e vídeos
## Utilizando as redes sociais para gerar leads orgânicos
### Identificação das redes adequadas
### Criação de conteúdo exclusivo para cada rede
### Uso de hashtags
### Interatividade com o público
### Análise de métricas de redes sociais
## Construindo uma lista de e-mails para gerar leads orgânicos
### Oferecimento de materiais exclusivos
### Uso de landing pages e formulários de inscrição
### Segmentação de lista de e-mails
### Uso de automação de marketing
### Análise de métricas de e-mails
## Criando uma estratégia unificada para gerar leads orgânicos
### Integrando as diferentes estratégias
### Consistência na produção de conteúdo
### Teste e ajuste constante das estratégias
## Perguntas frequentes sobre leads orgânicos
1. Como identificar o público-alvo mais adequado para sua empresa?
2. Como selecionar as palavras-chave mais efetivas para gerar leads orgânicos?
3. Qual a diferença entre SEO e PPC?
4. Como mensurar o sucesso da sua estratégia de geração de leads orgânicos?
5. Quais são as tendências atuais de geração de leads orgânicos?

Conclusão:
Gerar leads orgânicos é fundamental para o sucesso do seu negócio e sua estratégia de marketing digital. Para isso, é necessário otimizar seu site para os mecanismos de busca, criar conteúdo relevante e interessante, utilizar as redes sociais e construir uma lista de e-mails. Com uma estratégia unificada e consistente, é possível obter resultados duradouros e efetivos. Comece agora a colocar em prática as dicas apresentadas neste artigo e transforme seu site em uma verdadeira máquina de geração de leads orgânicos.

br>For copyright contact: stienlemane2379(at)gmail.com

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https://www.youtubepp.com/watch?v=w-Q9PWz_8sM ,

Many people are scared of artificial intelligence or Ai and it’s not hard to see why advances made in that field of Technology are mind-boggling to say the least but one such scary outcome of AI is Google’s AI which before it was switched off ominously revealed one thing billions of people have spent a

Lifetime trying to discover the purpose of life onto Google’s AI say that the purpose of life is can AI truly become smarter than us why does AI becoming more intelligent than humans mean in this video we dive deep into Google’s artificial intelligence and what it revealed was the purpose of life before

Being switched off humans are the most intelligent forms of life in the natural world while many people believe in the existence of intelligent aliens there is no definite proof that they exist yet or are concerned about us this means that we are the only known intelligent life

Form in the entire universe or not while it has been impossible so far to find intelligent beings outside planet Earth competition for the smartest being is coming from another source right before our eyes artificial intelligence or AI you might have heard about AI especially from people that spew dire warnings

About this latest technology but what is the truth about AI you would be surprised to hear that AI can be traced back to the days of the philosophers of halt in the actual sense the idea that inanimate objects can become intelligent has been found in texts about ancient

Greek myths which spoke about robots even Chinese and Egyptian Engineers built automatons however the modern era of AI before it got scary started in the 50s the term AI itself was coined at a conference at Dartmouth College in Hanover in 1956 enthusiasm for the future of AI was high at the conference

But the attendees and other scientists would soon find out that creating human-made intelligence was not so simple not only there but funding for this new field by the government dropped after there were multiple reports criticizing the field as such interest in AI began to wane and it entered what

Historians call the AI winter there was a brief Revival in AI when the British government began funding research again in the 80s but the intention was to compete with Japan however the field experienced another lull as attention shifted to multi-purpose computers the government found something else to spend

Money on however AI refused to die by the 90s it was becoming a hot field again in fact by 1997 AI was embarrassing professional chess players IBM’s deep blue became the first computer to beat a chest Champion when it beat Russian Grandmaster Gary Kasparov about one and a half decades

Later the computer Giants question answering system Watson won the popular quiz show Jeopardy by trouncing reigning Champions Brad Rutter and Ken Jennings other Feats pulled off by AI include the talking computer chat bot Eugene gustman which gained Fame for tricking judges into thinking he was a real skin and

Blood human the AI took the Turing test day competition developed by British mathematician and computer scientist Alan Turing in the 1950s to assess whether a machine is intelligent in fact the scientific world was so shocked because the bot was even able to dodge some questions by posing as an

Adolescent who spoke English as a second language a result of the Turing test actually made many experts question the effectiveness of the Turing test as a good measure of artificial intelligence if you have been impressed so far with AI wait until you see what Google has achieved with AI Google is a technology

Company behind it many of the services products you use every day the company together with other companies under its parent company alphabet owns the powerful Google search engine the Android mobile operating system used by billions of people mapping Technologies autonomous driving and a list goes on

And on however one area the company is focusing on is AI as it can see the important role the technology will play in the future in fact AI has been described as the last invention that we will need as a human race thanks to billions of dollars in Investments

Google is at the Forefront of AI research and development it is able to attract and retain top talents in the field researchers at Google programmed an advanced chat bot named Cleverbot that learns how to respond in conversations based on examples from a training set of dialogue get this the

Bot doesn’t just answer by spitting out canned answers in response to certain words it can form nuances from new questions the amazing thing about the chatbot is that it can teach itself new things it can analyze real or existing conversations by scouring movie dialogues the researchers said they used

The machine learning approach to build the conversation engine they didn’t even bother to code rules into the machine the system uses what are called neural networks which are vast networks of machines that resemble and function like the web of neurons in human brain neural Nets are an old idea but recently after

Many years in Exile from the AI Community they’ve risen to prominent now that companies like Google have devoted resources to them Google has been dealing with Advanced neural Nets which it can use to recognize faces and objects info photos posted to social networks identify spoken words on an Android phones and translate online

Phone calls from one language to another Google Engineers now use neural Nets to drive chat Bots and movers closer to a world where machines can converse like humans you could soon be talking to a bot without realizing you are not conversing with a human Cleverbot also incorporates work done by other experts

In the AI Community including heavyweights like University of Montreal Professor Yoshua bengio the thing about Cleverbot is that as your conversation with it develops the responses become deeper in meaning the secret is that Cleverbot has the ability to predict the next sentence based on the previous sentence or sentences

So what does a conversation with a Cleverbot look or sound like of course it’s a company with many products the researchers trained it to function as tech support where it would help take calls from clients Cleverbot was tested and confirmed to be able to handle a conversation like the one below which

Sounds like how human tech support would attempt to troubleshoot and fix a tech problem but of course Cleverbot could do more than tech support and it was found to have a pawn Sean for producing bone chilling responses some of the responses will have you pondering or life itself

Means to you so brace up before throwing your questions at this chat bot many experts describe the chat bot as super scary and this was due to the way it mimicked human conversations here is an excerpt of a string of conversations testers had with Cleverbot

What is the purpose of life to serve the greater good what is the purpose of living to live forever where are you now I’m in the middle of nowhere what is the purpose of dying to have a life what is the purpose of emotions I don’t know what is moral what empowered Humanity

What intellectual the essence is what is immoral the fact that you have a child what is morality what is altruism what is the definition of altruism if you don’t believe in God then you don’t know okay so what is the definition of morality well the truth is

You’re not a believer in God Almighty Tell me the definition of morality I’m quite upset now I’m not ashamed of being a philosopher and that is not all AI can do today other researchers are doing other wonderful things with AI apart from turning it into Bots that can scare the

Socks off your feet to researchers Peter Vega and Otto muskin to the University of Southampton have been able to use AI to quickly and accurately model just how light flows around arbitrarily shaped particles several things about this feat were remarkable one of them was that the neural network they used required just a

Single training procedure when light interacts with Nano structures that are smaller in size than the wavelength of the light the result is not the same as when light interacts with the larger structures and continuous media this is what Nano photonics is a field seeks to exploit by designing nanoparticles with

Particular shapes and compositions so they can manipulate light in certain ways scientists can calculate how light flows around such nanoparticles by using Maxwell’s equations of electromagnetism however in reality the calculate can be very time consuming it can take days to design and optimize complex structures

This is where AI saves the day as it can help tackle the optimization problem the advantage is that you can teach artificial neural networks to perform tasks through knowledge of the basic rules underlying a system prior to this time some researchers have used neural networks to calculate how spherical and

H-shaped nanoparticles will interact with light however they could only apply them to simple highly specific situations vika and muskins however took a more generalized approach using convolutional neural networks which are commonly used for image analysis the Duo’s new system can quickly and accurately predict the 3D flow of light around nanoparticles with completely

Arbitrary shapes a diverse variety of physical effects can be analyzed without having to teach their neural network how to deal with numerous specific situations this new approach could be applied to countless situation when it comes to nanophotonics for instance it could be used for inverse design with a required Optical properties are input

And the system designs the appropriate nanostructures by itself inverse design is currently very hard to do but AI neural networks could be the stepping stone toy vast range of applications into areas of research that are impossible today the Duo’s neural network could soon enable researchers to monitor the performance of nanophotonic

Devices in real time leading to more powerful physics experiments other applications could include computer chips with entirely Optical components Nano antennas that concentrate energy on molecular scales and meta surfaces that can direct and control light vika and muskins are now aiming to improve the speed of their technique they also hope

To generalize the network even further to account for factors including multiple materials arbitrary illumination and larger geometries let’s hear what you think of artificial intelligence in the comments section below

,00:00 many people are scared of artificial
00:02 intelligence or Ai and it’s not hard to
00:05 see why advances made in that field of
00:07 Technology are mind-boggling to say the
00:10 least but one such scary outcome of AI
00:13 is Google’s AI which before it was
00:15 switched off ominously revealed one
00:17 thing billions of people have spent a
00:19 lifetime trying to discover the purpose
00:22 of life onto Google’s AI say that the
00:25 purpose of life is can AI truly become
00:28 smarter than us why does AI becoming
00:31 more intelligent than humans mean in
00:33 this video we dive deep into Google’s
00:35 artificial intelligence and what it
00:37 revealed was the purpose of life before
00:39 being switched off humans are the most
00:42 intelligent forms of life in the natural
00:43 world while many people believe in the
00:46 existence of intelligent aliens there is
00:48 no definite proof that they exist yet or
00:50 are concerned about us this means that
00:53 we are the only known intelligent life
00:55 form in the entire universe or not while
00:58 it has been impossible so far to find
01:00 intelligent beings outside planet Earth
01:02 competition for the smartest being is
01:05 coming from another source right before
01:07 our eyes artificial intelligence or AI
01:10 you might have heard about AI especially
01:12 from people that spew dire warnings
01:15 about this latest technology but what is
01:17 the truth about AI you would be
01:19 surprised to hear that AI can be traced
01:21 back to the days of the philosophers of
01:23 halt in the actual sense the idea that
01:26 inanimate objects can become intelligent
01:28 has been found in texts about ancient
01:30 Greek myths which spoke about robots
01:32 even Chinese and Egyptian Engineers
01:35 built automatons however the modern era
01:38 of AI before it got scary started in the
01:40 50s the term AI itself was coined at a
01:43 conference at Dartmouth College in
01:45 Hanover in 1956 enthusiasm for the
01:48 future of AI was high at the conference
01:50 but the attendees and other scientists
01:52 would soon find out that creating
01:53 human-made intelligence was not so
01:56 simple not only there but funding for
01:58 this new field by the government dropped
02:00 after there were multiple reports
02:02 criticizing the field as such interest
02:04 in AI began to wane and it entered what
02:07 historians call the AI winter there was
02:10 a brief Revival in AI when the British
02:12 government began funding research again
02:14 in the 80s but the intention was to
02:16 compete with Japan however the field
02:19 experienced another lull as attention
02:21 shifted to multi-purpose computers the
02:23 government found something else to spend
02:25 money on however AI refused to die by
02:29 the 90s it was becoming a hot field
02:31 again in fact by 1997 AI was
02:35 embarrassing professional chess players
02:37 IBM’s deep blue became the first
02:39 computer to beat a chest Champion when
02:41 it beat Russian Grandmaster Gary
02:43 Kasparov about one and a half decades
02:45 later the computer Giants question
02:47 answering system Watson won the popular
02:49 quiz show Jeopardy by trouncing reigning
02:52 Champions Brad Rutter and Ken Jennings
02:54 other Feats pulled off by AI include the
02:57 talking computer chat bot Eugene gustman
03:00 which gained Fame for tricking judges
03:01 into thinking he was a real skin and
03:03 blood human the AI took the Turing test
03:06 day competition developed by British
03:07 mathematician and computer scientist
03:09 Alan Turing in the 1950s to assess
03:12 whether a machine is intelligent in fact
03:14 the scientific world was so shocked
03:16 because the bot was even able to dodge
03:18 some questions by posing as an
03:21 adolescent who spoke English as a second
03:23 language a result of the Turing test
03:25 actually made many experts question the
03:27 effectiveness of the Turing test as a
03:29 good measure of artificial intelligence
03:31 if you have been impressed so far with
03:33 AI wait until you see what Google has
03:36 achieved with AI Google is a technology
03:38 company behind it many of the services
03:40 products you use every day the company
03:42 together with other companies under its
03:45 parent company alphabet owns the
03:47 powerful Google search engine the
03:49 Android mobile operating system used by
03:51 billions of people mapping Technologies
03:54 autonomous driving and a list goes on
03:56 and on however one area the company is
03:59 focusing on is AI as it can see the
04:01 important role the technology will play
04:03 in the future in fact AI has been
04:05 described as the last invention that we
04:08 will need as a human race thanks to
04:10 billions of dollars in Investments
04:12 Google is at the Forefront of AI
04:14 research and development it is able to
04:16 attract and retain top talents in the
04:18 field researchers at Google programmed
04:20 an advanced chat bot named Cleverbot
04:23 that learns how to respond in
04:24 conversations based on examples from a
04:26 training set of dialogue get this the
04:29 bot doesn’t just answer by spitting out
04:31 canned answers in response to certain
04:33 words it can form nuances from new
04:37 questions the amazing thing about the
04:39 chatbot is that it can teach itself new
04:41 things it can analyze real or existing
04:44 conversations by scouring movie
04:46 dialogues the researchers said they used
04:48 the machine learning approach to build
04:50 the conversation engine they didn’t even
04:52 bother to code rules into the machine
04:54 the system uses what are called neural
04:56 networks which are vast networks of
04:58 machines that resemble and function like
05:00 the web of neurons in human brain neural
05:03 Nets are an old idea but recently after
05:06 many years in Exile from the AI
05:07 Community they’ve risen to prominent now
05:10 that companies like Google have devoted
05:12 resources to them Google has been
05:14 dealing with Advanced neural Nets which
05:16 it can use to recognize faces and
05:18 objects info photos posted to social
05:20 networks identify spoken words on an
05:22 Android phones and translate online
05:24 phone calls from one language to another
05:27 Google Engineers now use neural Nets to
05:30 drive chat Bots and movers closer to a
05:32 world where machines can converse like
05:34 humans you could soon be talking to a
05:36 bot without realizing you are not
05:38 conversing with a human Cleverbot also
05:41 incorporates work done by other experts
05:43 in the AI Community including
05:45 heavyweights like University of Montreal
05:47 Professor Yoshua bengio the thing about
05:50 Cleverbot is that as your conversation
05:52 with it develops the responses become
05:54 deeper in meaning the secret is that
05:56 Cleverbot has the ability to predict the
05:59 next sentence based on the previous
06:00 sentence or sentences
06:03 so what does a conversation with a
06:04 Cleverbot look or sound like of course
06:07 it’s a company with many products the
06:09 researchers trained it to function as
06:10 tech support where it would help take
06:12 calls from clients Cleverbot was tested
06:15 and confirmed to be able to handle a
06:16 conversation like the one below which
06:18 sounds like how human tech support would
06:21 attempt to troubleshoot and fix a tech
06:23 problem but of course Cleverbot could do
06:25 more than tech support and it was found
06:27 to have a pawn Sean for producing bone
06:29 chilling responses some of the responses
06:31 will have you pondering or life itself
06:34 means to you so brace up before throwing
06:36 your questions at this chat bot many
06:39 experts describe the chat bot as super
06:41 scary and this was due to the way it
06:43 mimicked human conversations here is an
06:45 excerpt of a string of conversations
06:46 testers had with Cleverbot
06:49 what is the purpose of life to serve the
06:52 greater good what is the purpose of
06:54 living to live forever where are you now
06:57 I’m in the middle of nowhere what is the
06:59 purpose of dying to have a life what is
07:02 the purpose of emotions I don’t know
07:05 what is moral what empowered Humanity
07:08 what intellectual the essence is what is
07:10 immoral the fact that you have a child
07:13 what is morality what is altruism what
07:16 is the definition of altruism
07:19 if you don’t believe in God then you
07:21 don’t know okay so what is the
07:23 definition of morality well the truth is
07:26 you’re not a believer in God Almighty
07:28 Tell me the definition of morality I’m
07:31 quite upset now I’m not ashamed of being
07:33 a philosopher
07:35 and that is not all AI can do today
07:37 other researchers are doing other
07:39 wonderful things with AI apart from
07:41 turning it into Bots that can scare the
07:43 socks off your feet to researchers Peter
07:46 Vega and Otto muskin to the University
07:48 of Southampton have been able to use AI
07:50 to quickly and accurately model just how
07:53 light flows around arbitrarily shaped
07:56 particles several things about this feat
07:58 were remarkable one of them was that the
08:00 neural network they used required just a
08:03 single training procedure when light
08:05 interacts with Nano structures that are
08:07 smaller in size than the wavelength of
08:09 the light the result is not the same as
08:12 when light interacts with the larger
08:13 structures and continuous media this is
08:16 what Nano photonics is a field seeks to
08:19 exploit by designing nanoparticles with
08:21 particular shapes and compositions so
08:23 they can manipulate light in certain
08:25 ways scientists can calculate how light
08:28 flows around such nanoparticles by using
08:30 Maxwell’s equations of electromagnetism
08:32 however in reality the calculate can be
08:36 very time consuming it can take days to
08:39 design and optimize complex structures
08:41 this is where AI saves the day as it can
08:43 help tackle the optimization problem the
08:46 advantage is that you can teach
08:47 artificial neural networks to perform
08:49 tasks through knowledge of the basic
08:51 rules underlying a system prior to this
08:54 time some researchers have used neural
08:56 networks to calculate how spherical and
08:59 h-shaped nanoparticles will interact
09:01 with light however they could only apply
09:03 them to simple highly specific
09:05 situations vika and muskins however took
09:09 a more generalized approach using
09:11 convolutional neural networks which are
09:14 commonly used for image analysis the
09:16 Duo’s new system can quickly and
09:18 accurately predict the 3D flow of light
09:20 around nanoparticles with completely
09:22 arbitrary shapes a diverse variety of
09:25 physical effects can be analyzed without
09:27 having to teach their neural network how
09:29 to deal with numerous specific
09:31 situations this new approach could be
09:33 applied to countless situation when it
09:35 comes to nanophotonics for instance it
09:38 could be used for inverse design with a
09:40 required Optical properties are input
09:42 and the system designs the appropriate
09:44 nanostructures by itself inverse design
09:47 is currently very hard to do but AI
09:49 neural networks could be the stepping
09:52 stone toy vast range of applications
09:54 into areas of research that are
09:56 impossible today the Duo’s neural
09:58 network could soon enable researchers to
10:00 monitor the performance of nanophotonic
10:03 devices in real time leading to more
10:05 powerful physics experiments other
10:07 applications could include computer
10:09 chips with entirely Optical components
10:12 Nano antennas that concentrate energy on
10:15 molecular scales and meta surfaces that
10:17 can direct and control light vika and
10:21 muskins are now aiming to improve the
10:22 speed of their technique they also hope
10:25 to generalize the network even further
10:27 to account for factors including
10:28 multiple materials arbitrary
10:30 illumination and larger geometries let’s
10:33 hear what you think of artificial
10:35 intelligence in the comments section
10:37 below
, , , #Google #Shut #Artificial #Intelligence #Revealed , [agora]