AI와 온라인쇼핑과 투자

With the evolution of artificial intelligence and robotics, you may wonder how our everyday lives are changing.
As consumers, we are already using some of these developments to shop and bank more efficiently.
Oh Soo-young provides a glimpse of more AI convenience to come.
Whether you're shopping online for clothes, groceries or a gift, you could browse aimlessly for hours if you don't already know what you're looking for.
That's why online retailers in Korea are working to upgrade their services to help customers get the most out of their shopping experiences -- with the help of artificial intelligence.

"When you're out and about, you might see a jacket or a top you like but don't have a way to check the label. Well, with this app, all you have to do is take a quick photo."

Simply press the search bar and select the image option.
Then, take a photo and specify which piece of clothing you're looking to find... and the app will produce a list of items with the same or similar features.
Another easy way to find the best product for yourself... is the app's voice recognition service.

"Show me some popular gifts for a girlfriend."
It not only picks up the words you're saying, it understands your questions and makes recommendations.

The app also allows customers to track a delivery, check membership points and look up questions and answers.

"Where is the product that I ordered?"

"This year, we're aiming to provide most mobile shopping services, like ordering and paying for purchases, through voice recognition. Also, we're planning to expand our image search service so it can recognize all objects and text."

It's not just online shopping.
The financial sector is also incorporating artificial intelligence.
This investment bank recently released a fund that's designed to achieve an eight-percent return with far less volatility than average products.

"This AI system, ... a systematic system with an algorithm built and of course that needs to be upgraded over time continuously. I think this will be able to provide investors with much better trust because the volatity itself will become much less."

Experts say AI-based products are increasing in number and diversifying as we speak.
The voice recognition and AI software industries are expected to grow to 3-point-6 billion and 2-point-9 billion dollars, respectively, by 2020.

"In the future, robot-advisors and other AI-based services will expand to most sectors and be applied in corporate decision-making. Companies and universities developing relevant technologies need active support as well as a stronger legal configuration to help pave the way for the creation of new services."

The expansion of artificial intelligence is already helping people in Korea make more informed purchases and investments... and its advance is expected to keep making commercial services faster and more convenient.
Oh Soo-young, Arirang News.

Visit ‘Arirang News’ Official Pages


This is the teaser for our upcoming Documentary film "The Dawn of Superintelligence".

When I say that Artificial Intelligence is the most important topic of our time, I'm not exaggerating. In the film, we build from the basics of how AI is going to become far more intelligent than humans. And what happens when our species is no more the most intelligent on the planet?
Life is going to transform, one way or another.
But it's not only the future we are looking at. Even as we speak, AI and AI applications are all around us. We look at them and AI's current state and how it is disrupting industries.

Releases on July 27

Let us know in the comments section what did you think about the teaser.

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Ever imagined a world of robots and humans coexisting? Check out this video and find out when it might become a reality.

Script -
Humans are making computers stronger, faster and more powerful every day. Robotic technologies continue to advance at an ever increasing rate, as scientists push to create a robot that rivals the physical ability, intelligence and emotion of human beings. But will this technology ever be as good as us?
In order for artificial intelligence or AI to be possible, computing power must meet or exceed the memory and processing power of the human brain. The human brain is estimated to have the processing power of 10 quadrillion calculations per second and as of 2015, the Tianhe-2 supercomputer in China could perform over 33 quadrillion calculations per second.However, although this is very impressive, the human brain is far more complex in structure and function than the super computer. The human brain has a complex network of billions of neurons, that receive and send out neurotransmitters, signals, messages and instructions to the entire body every second of our lives. The Tianhe-2 costs about $390 million to build, at its peak it draws more than 17.6 megawatts of power and the computer complex covers about 2,300 square feet. This system is not only massive, but expensive and extremely power hungry. The development of a computer that will emulate a human mind, is more than likely decades away. But a computer that has lots of memory and processing power isn't enough, for it to be intelligent, an AI needs to behave intelligently. Major efforts for example are underway to map the human brain, this potentially could result in the discovery of consciousness, which could then lead to the development of synthetic consciousness. Giving a computer, a state of awareness or quality, allowing it the ability to experience or to feel or having a state of individual identity.But as the computers become smarter, scientists are also working on building it a body. An AI would need some way to affect the world around it. Using advanced robotics could mean enhanced precision, balance, maneuver ability, agility, speed, strength, durability and much more. Most robots designed today or the robots we see depicted in the movies are mostly shaped like humans. This is because machines shaped like people are best suited to navigate a world built by mankind. A robot that looks like a human could theoretically climb ladders and stairs, step over obstacles in its path, even drive a car for example. However some scientists believe that if you started to design a being from scratch, you could make a much better version of our selves. There are no real advantages to building robots that look like humans, but one thing that seems to drive the creation of a humanoid type robot is that people care more about something when it looks similar to humans.Scientists have so far brought us the Asimo, the Honda developed space suit looking robot. Probably the most famous bot, it is a cheerful and endearing little thing with an innocent look, that can walk, run and perform basic tasks. Other robots have been made like the pole dancing double act, lady bots, that can be bought for $39,500 and the slightly scary suit testing robot Petman. The anthropomorphic robot designed for testing chemical protection clothing, with its realistic human movements and simulated human physiology such as controlling temperature, humidity and sweating. Interacting humanoid robots also exist, such as Actriod, it can function autonomously, talking and gesturing with people. It knows sign language, such as “point” or “swing”, that automatically adapts to the position of the speaker.However Current robots designed over the last few years to match human capability still need a lot of work, but they could become a day to day reality sooner than we think. Some are predicting that robots of all types could fully replace humans by 2045.
So, at some point in the future, we are all more than likely going to be existing in a world were humans and robots live side by side. But will that future be peacefully, or are we setting our selves up for some sort of Terminator style robocalpse.

Attributes -
Asimo Program Stream-Centar za promociju nauke
Binary Code - Videvo
Neuron-Oliver Konow
Petman Tests Camo - Boston Dynamics
Pole dancing robot - Caroline Hyde
Speaking Robot - THE AGE OF ROBOTS - Massimo Brega
Music -
Sci Fi Music -
Outro - Hurry Up -Kevin Macleod Incomptech
Licensed under Creative Commons: By Attribution 3.0

Human in the loop Machine learning and AI for the people

Paco Nathan is a unicorn. It's a cliche, but gets the point across for someone who is equally versed in discussing AI with White House officials and Microsoft product managers, working on big data pipelines and organizing and part-taking in conferences such as Strata in his role as Director, Learning Group with O'Reilly Media.

Nathan has a mix of diverse background, hands-on involvement and broad vision that enables him to engage in all of those, having been active in AI, Data Science and Software Engineering for decades. The trigger for our discussion was his Human in the Loop (HITL) framework for machine learning (ML), presented in Strata EU.

Human in the loop

HITL is a mix and match approach that may help make ML both more efficient and approchable. Nathan calls HITL a design pattern, and it combines technical approaches as well as management aspects.

HITL combines two common ML variants, supervised and unsupervised learning. In supervised learning, curated (labeled) datasets are used by ML experts to train algorithms by adjusting parameters, in order to make accurate predictions for incoming data. In unsupervised learning, the idea is that running lots of data through an algorithm will reveal some sort of structure.

The less common ML variant that HITL builds on is called semi-supervised, and an important special case of that is known as "active learning." The idea is to take an ensemble of ML models, and let them "vote" on how to label each case of input data. When the models agree, their consensus gets used, typically as an automated approach.

When the models disagree or lack confidence, decision is delegated to human experts who handle the difficult edge cases. Choices made by experts are fed back to the system to iterate on training the ML models.

Nathan says active learning works well when you have have lots of inexpensive, unlabeled data -- an abundance of data, where the cost of labeling itself is a major expense. This is a very common scenario for most organizations outside of the Big Tech circle, which is what makes it interesting.

But technology alone is not enough. What could be a realistic way to bring ML, AI, and automation to mid-market businesses?

AI for the people
In Nathan's experience, most executives are struggling to grasp what the technology could do for them and identify suitable use cases. Especially for mid-market businesses, AI may seem like a far cry. But Nathan thinks they should start as soon as possible, and not look to outsource, for a number of reasons:

We are at a point where competition is heating up, and AI is key. Companies are happy to share code, but not data. The competition is going to be about data, who has the best data to use. If you're still struggling to move data from one silo to another, it means you're behind at least 2 or 3 years.

Better allocate resources now, because in 5 years there will already be the haves and have nots. The way most mid-market businesses get on board is by seeing, and sharing experiences with, early adopters in their industry. This gets them going, and they build confidence.

Getting your data management right is table stakes - you can't talk about AI without this. Some people think they can just leapfrog to AI. I don't think there will be a SaaS model for AI that does much beyond trivialize consumer use cases. "Alexa, book me a flight" is easy, but what about "Alexa, I want to learn about Kubernetes"? It will fall apart.

O’Reilly 2019 AI Conference – Speaker Submission

Companies and governments are turning to artificial intelligence to make streets safer, shopping more targeted and health care more accurate. China is one of the countries quickly adopting AI technologies.

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Hank takes you to the next frontier of innovation: the XPrize for Artificial Intelligence, talking about how true AI can be measured, and what the future might look like.

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During an event with The Economic Club in Washington, Microsoft founder Bill Gates says that the federal government should help regulate technology firms like Google and Facebook and that if he were 20-years-old today, he would start an artificial intelligence company whose goal would be to teach computers how to read.

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In this episode of Talks at GS, Clear CEO Caryn Seidman Becker discusses how biometrics are revolutionizing security in airports, stadiums and beyond, and how privacy and regulation will shape the future of identification technology. Learn More

Greg Foot explains how computers can recognise our faces by looking at us and what we might be able to do with it in the future.

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VPI Conversational Virtual Agents powered by Artificial Intelligence
It's time to reshape the way we think about customer telephone self-service. Stop scripting. Start conversing. Stop disappointing. Start delighting. Watch to learn how VPI's conversational virtual agents in the cloud can help you effectively automate a wider variety of inbound and outbound call types while lowering costs and improving customer experience.

Macy’s recognizes that shoppers are increasingly turning to online and mobile channels to browse for merchandise and make purchases. To optimize the shopping experience, Macy’s enhanced its website with a virtual agent based on the Microsoft Dynamics 365 AI solution for customer service. With deep connections to back-end systems, the virtual agent can take action to solve customer issues and transfer customers seamlessly to a live agent if necessary. The virtual agent is already answering more than one quarter of customer queries and Macy’s plans to expand it to additional shopping channels.

This video shows an example interaction between a user and the virtual character Poppy, a Sensitive Artificial Listener created by the SEMAINE project, The SEMAINE software is open source and can be downloaded from

DFKI is the coordinator of the project. The participating institutions are:

ICSTM: Imperial College of Science, Technology and Medicine, London, UK
Paris8: Université Paris VIII, France
QUB: Queen's University Belfast, UK
TUM: Technische Universität München, Germany
UT: Universiteit Twente, Netherlands

This on-demand webinar covers the various ways in which artificial intelligence (AI) and machine learning (ML) are coming to dominate the cyber security landscape.

This webinar provides you with an understanding of how the various types of machine learning techniques are being applied to cyber security and how those techniques are being tailored to solve particular problems in cyber security. It also covers why using multiple artificial intelligence or machine learning-based solutions enhances a defense-in-depth approach to security and how the fundamentals of cyber defense and offense are changing due to the greater adoption of these solutions.

Art Gilliland, HP

The old school of cyber defense emphasized securing infrastructure and restricting data flows. But data needs to run freely to power our organizations. The new school of cyber defense calls for security that is agile and intelligent. It emphasizes protecting the interactions between our users, our applications and our data. The world has changed, and we must change the way we secure it.

BSides Detroit 13 June 7-8, 2013

Abstract: Evolving threats. Shrinking budgets. More to do. New compliance rules. Where do I start? How do I pick what's most important? What are my peers doing? How do I get management support? Is security even achievable?The Center for International and Strategic Studies (CSIS) Critical Security Controls for Effective Cyber Defense can help you sort through the chaos and be your roadmap to success, whether you are a small shop, a large organization on its way to ISO 27000, or beholden to NIST 800-53. This consensus driven distillation of critical controls, driven by actual, not theoretical threats, draws from the experiences of not only some of the top commercial forensic investigators but many arms of government including the DoD, FBI, NSA, the Department of State, the Department of Energy Nuclear Laboratories, and more.These controls were formerly known as the SANS 20 Critical Security Controls.

Speaker: Ken Evans

This animation contains a set of high security measures and controls that can be applied across an organisation in order to improve its cyber defence. The controls (and sub-controls) focus on various technical measures and activities, with the primary goal of helping organisations prioritise their efforts to defend against the current most common and damaging computer and network attacks.

The Cyber Defense Certificate combines both networking and systems administration fundamentals, with a focus on defensive strategies to securing systems. This accelerated program can be completed in 15 months, and all courses may be taken online.
Learn more and register at

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Keynote "Intelligent continuous improvement, when BPM meets AI" by Miguel Valdés (Bonitasoft CEO and co-founder) at the 15 International Conference on Business Process Management (BPM 2017)

Abstract: Artificial Intelligence (AI) technologies are evolving faster than ever thanks to the maturity of cloud computing, BigData and the accessibility of predictive and machine learning algorithms and frameworks. But, is BPM software ready to embrace AI?
Through continued modernisation BPM platforms goes beyond traditional process automation and optimisation use cases to play a key role in digital transformation in organisations of all sizes. Modern BPM applications requirements include advanced end user interfaces (UIs), access to big volumes of business data and real time updates of those processes, UIs and data. AI will be the next major wave of innovation in BPM.
In this session we will discuss the challenges and opportunities involved in the shift towards the use of AI technologies in BPM. We will particularly cover uses cases in which AI enables intelligent continuous improvement of business processes and BPM applications. We will also discuss about pros and cons of different AI technologies when it relates to BPM.

Bio: Miguel leads Bonitasoft mission: to democratize Business Process Management (BPM), bringing powerful and affordable BPM to organizations and projects of all sizes. Bonitasoft builds a BPM-based application platform to create customized business applications without the cost and rigidity of long, unpredictable custom development cycles. As the world’s fastest-growing BPM provider, Bonitasoft has thousands of customers and an open source community of more than 120,000 members. Prior to Bonitasoft, Miguel led R&D, pre-sales and support for the BPM division of Bull Information Systems, a major European systems provider. Miguel is a recognized thought-leader in business process management and passionate about open source community building.

Weapons and warfare have become increasingly sophisticated; the latest battlefield technology is starting to look more like a computer game with wirelessly connected soldiers communicating via sound and vision to drones carrying satellite-linked wi-fi hotspots & given orders by commanders that could be on the of the side of the world.

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But the weapons of the future won’t need soldiers or commanders to operate them because they will make the decision of what or whom to target themselves using Artificial intelligence.
The pentagon is spending billions on developing a new generation of Lethal Autonomous Weapons (LAWS) like robotic fighter Jets, missiles that decide what to attack and ships that hunt enemy submarines.
For now, remote weapons like UAV’s or Unmanned Aerial Vehicles are directed by humans from the safety of cubicles often hundreds or thousands of miles away from the conflict zone and as such, any decision to use lethal force is made by a person.
But before we start thinking Skynet is going to take over and we’ll have terminators roaming around, we are still a long way from the Hollywood version of AI. Although We have seen the latest generation of robots like the Boston Dynamics Atlas and its uncanny ability for walk and move like a human, we won't be seeing an army of robotic soldiers anytime soon.
Whilst we think of AI being used with the latest hardware, The USAF is working on using older aircraft refitted with autonomous controls. The project called “Loyal Wingman” sees retired F-16’s reused and with enough autonomy so that they could be fly alongside the latest F-35’s and take cues from the human pilot in another aircraft just as a real human wingman would, and probably before driverless cars will be on public roads.
Autonomous missiles are an area which is already in use with systems like the British “fire and forget” Brimstone missiles. Once it has been primed with target information it can work on its own to select the best target and co-operate with up 24 other missiles to coordinate a staggered attack against swarms of enemy vehicles or boats, if it can’t find a target it will self-destruct.
Drones are the other big area for Military AI. The Israel Aerospace Industries HAROP is a small anti-radiation drone, which is also called the “suicide drone”. This can stay airborne above a battle area for up to 6 hours looking for a specific radio transmission like a RADAR sources or enemy air defense systems, but could, in theory look for things like specific mobile phones, the HAROP will then home in on the signal and deliberately crash into and destroy its target with it on board warhead.
Meanwhile, DARPA, the military research arm of the Pentagon has also unveiled the “Sea Hunter”, an autonomous surface vessel that is designed stay at sea for months and track even the quietest submarines anywhere in the world. Because it is designed not to have any human crew during its operation, it must navigate busy shipping lanes and interact with an intelligent human adversary by its self then communicate its data back to its control centre or take the appropriate action if it were to be armed.

The founder of Tesla Motors and Space X, Elon Musk, described artificial intelligence as our ‘biggest existential threat’ while speaking at MIT.

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We have reached a point in technology, where it is possible to create anything, make anyone say anything in a high resolution video. Till now, this was done in movies using long and complicated process of CGI. But now it is possible for anyone to do it in a matter of minutes sitting at home thanks to advancements in artificial intelligence. I explain machine learning and neural networks in brief here apart from explaining how these Artificial intelligence generated synthetic videos can be created. I also discuss the implications of this technology along with solutions on how we can counter it.

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🔴 - Desenvolvimento de jogos Danki Code:

Esse curso foi uma surpresa para mim, quem olha assim rapidamente não percebe,
mas a quantidade de conteúdo aqui é GIGANTESCA! e sempre fornecendo suporte total para quem está iniciando no ramo de programação de jogos (instalação dos ambientes e explicação da lógica), nele você consegue aprender desde jogos simples de plataforma 2D até jogos avançados em 3D. O curso demonstra a programação de mais de 12 jogos(de PAC-MAN até Minecraft), além de diversas técnicas dessa área da programação.

Não é à toa que é o mais vendido do Brasil:

Seja muito bem vindo ao Universo Programado!

Neste vídeo você verá como a Inteligência Artificial aprendeu a jogar o ''jogo mais difícil do mundo''. Essa I.A. não teve tanta dificuldade assim pois a principal dificuldade desse jogo é a parte dos reflexos, coisa que a máquina não possui!

Para ganhar o jogo foi utilizado uma Rede Neural Artificial (Perceptron Multilayer).

A quantidade de camadas escondidas variou de acordo com a modalidade do jogo!

✅ - A camada de entrada recebe a distância até os obstáculos e a distância até as paredes.
✅ - A camada de saída possui um neurônio para cada tecla que o usuário pode apertar (Cima, Baixo, Esquerda, Direita)

A função de ativação utilizada em todos os neurônios foi a ReLU.
O método de aprendizagem é comumente chamado de ''Random Mutations".
O tamanho da população que utilizei foi de 100 indivíduos.
O tempo de aprendizagem variou entre 15 ~ 60 minutos por modalidade de Jogo.
A linguagem utilizada em todo o processo foi a Linguagem C juntamente da biblioteca gráfica SDL.

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❤️- Um grande abraço e um ótimo estudo pra você!

Tian Wei speaks with venture capitalist and tech guru Kai-Fu Lee, who helps us understand the onset of AI. He explains which jobs are vulnerable to AI and how AI can help humans as well.

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The ubiquity of technology in the 21st century poses a dilemma for the future of all of mankind, one that can and must be addressed now. In the Information Age, we can’t escape the presence of technology, with Artificial Intelligence (AI) beginning to make its mark in the world. Common myths depicting AI in fictional form simply attests trek of technology throughout history , though it doesn't quite capture the computational power of AI, as well as the risks involved. At the end of the day, the dilemma of AI out-competing humans in the industrial workforce can and must be addressed, with members of the status quo guiding technological evolution towards a future of complementing co-existence. David Lee is a junior at Valencia High School who has yet to shy away from the challenges posed by the IB and ValTech programs. When not socializing with his closest friends, playing street basketball, or out in the archery range nailing bull’s eyes, you’ll likely find this learning-enthusiast sitting in front of a computer screen staring at hundreds of lines of code. While immersed in the world of technology, David also often finds himself lost in artistic thought, with his musical passions willing him to play the cello for local orchestras and his eyes for graphic design yielding his position as an editor-in-chief of Valencia’s publication group called El Tigre. As he continues to embark on the next stages of his education with excitement, he hopes to explore the technological industry, possibly even developing and researching technological improvements that would transform the lives of every individual in his community and in his world. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at

Kitty Hawk Corporation CEO and Udacity co-founder Sebastian Thrun speaks on 'Artificial Intelligence – Friend or Foe?' at Day 2 of the ET Global Business Summit 2019 in New Delhi Saturday. Watch now.

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WARNING: this is not a normal vlog post, more like an exercise in AI speculation.

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