Summary of Discovery Latinoamérica | Inteligencia Artificial - IBM

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00:00:00 - 01:00:00

This video discusses the various applications of artificial intelligence, including its use in self-driving cars and factory work. It also covers how AI is evolving and how it has the potential to change many different industries.

00:00:00 Intelligence artificial is here and we all like or not, artificial intelligence automated learning or robots is emotional and some of the most important names in science and technology warn about the dangers of using artificial intelligence to create weapons. I believe that the development of intelligence artificial may lead to the end of humanity. This is my biggest worry about artificial intelligence. Regulators need to come and tell the kids that they need to take a break and make sure this is safe before proceeding any further. Artificial intelligence has the potential to solve all the more difficult problems of the present and future. This is a rebirth. We are at the point of leaving humans to do more than they could by themselves to make use of artificial intelligence to solve problems become more prosperous and healthy. This must be its purpose in artificial intelligence, computers begin to learn to think, write, and design their own programs. Artificial intelligence can give us the ability to hear and see better, as well as new abilities. Imagine a doctor with artificial intelligence assistance to create new medicines that were not considered. You
00:05:00 In this video, IBM's Watson computer is discussed. Watson was one of the first computers to process natural language, and was used on TV show "Jeopardy!" Watson has since been retired, but the team at IBM has continued to develop artificial intelligence, including a system that can debate with humans. This system, called "Discovery", was developed in Washington, D.C. and was the first Catholic university in the United States.
00:10:00 In this video, IBM's "Discovery Latinoamérica" team discusses the difficulty of understanding human language and how humans generally understand questions quickly, but lack the memory to extract all relevant answers. They go on to explain how humans are so used to understanding language that we are not even aware of how difficult it is for us to construct an argument or connect things together when teaching a computer how to understand language. In the next round of debates, the team presents two human experts on opposing sides of a debate topic. The opposing expert, using techniques of natural language processing (NLP), argues that gambling should be legalized, while the IBM-sponsored opponent argues that it should not be. After presenting their arguments, the opposing expert takes questions from the audience. The IBM-sponsored expert suggests that, in order to protect citizens, government should limit freedom and allow only limited forms of gambling.
00:15:00 The video discusses how artificial intelligence (AI) is used to persuade people of the benefits of using AI. The presenter has been debating on college campuses for 16 years, and has seen firsthand how a machine that performs the same task as a human can learn and get better over time. He believes that what is happening with AI is really magical, and that it has the potential to change many different industries. One of the applications of AI that is almost everyone familiar with is self-driving cars. However, there are still many challenges to be overcome before this technology becomes common. One of the main questions that needs to be answered is how drivers will be able to operate cars without a driver in a chaotic world where people operate vehicles.
00:20:00 The video discusses the safety concerns surrounding self-driving cars, which are still in their early stages of development. It covers the different aspects of self-driving cars, including their perception abilities, prediction abilities, and planning abilities. The future of safety and reliability of self-driving cars depends on the machine's ability to learn, which is something that artificial intelligence is able to do relatively well.
00:25:00 This video discusses how humans' intelligence is based on their ability to learn and progress in all areas of human development. The scientists behind the development of artificial intelligence have been working to teach machines to learn like humans for decades, starting with a game of chess in 1957. That man, Samuel Grady, is not playing - his computer is, and it's beating him. In the 1990s, IBM's Deep Blue computer became the first machine to defeat a world champion at chess. That same decade, IBM's Dr. Samuel Grady developed a machine learning algorithm that could play video games at a competitive level. Since then, artificial intelligence has made huge strides in areas such as learning, data storage, and algorithms. All of this has led to machines that are increasingly able to perform tasks that would once have been considered impossible for humans. Today, we swimming in an ocean of data every minute, and artificial intelligence is using that data to learn and improve rapidly. Samuel Grady's work in artificial intelligence is just one example of how data and computation have transformed human intelligence over the past 50 years.
00:30:00 In 2017, a computer program called "alpha go" became the first AI to win a game of Go, a complex Chinese board game, by learning how to play on its own. The AI was able to do this by playing through thousands of games against itself, gradually learning the rules and strategies. This is an example of artificial intelligence (AI) evolving from simple games to more complex tasks. In the next few decades, many jobs will be replaced by robots, as AI becomes more advanced.
00:35:00 This video discusses how IBM's artificial intelligence (AI) technology can be used to improve efficiency in factory work. One example is Sawyer, a robot that can autonomously carry out simple tasks such as cutting wood. Another example is a small company in Richmond, Virginia that is updating its production process after 40 years of activity. The robot is helping the human workers to do tasks that would otherwise be too dangerous or time-consuming.
00:40:00 The video discusses how intelligence is evolving and how one day, machines will be able to understand and empathize with us, teaching children how to learn effectively and at an earlier age. It features a pilot program in which IBM's Watson technology is being used to teach vocabulary to elementary school students in socioeconomically disadvantaged areas. The program is geared towards building confidence in the child, by providing feedback on their level of comprehension of words. After the child has learned a few words, games and videos are provided to reinforce the learning.
00:45:00 The video discusses how IBM's Watson AI platform can be used in education to help students understand material more easily. For example, if a student struggles to understand a concept, the AI tutor can help them out by guiding them through a step-by-step process to understand the material.
00:50:00 The video discusses the work of IBM's "tutor Watson" artificial intelligence system, which uses artificial intelligence to help students learn more effectively. The system is designed to be interactive and personalizable, and is helping to change how we learn.
00:55:00 After coming up with a design for a bracelet for people who are blind, Simon discovered that the vibration after that idea occurred has the same effect as a pacemaker for people with heart conditions. He believes this is just the beginning of what is possible with artificial intelligence and the way band. Work Works, a team of developers, spent months designing the way band, an artificial intelligence-driven braille bracelet that will guide the wearer through a marathon in New York City. If the way band is completed and functioning as planned, it will be a big difference for just one person's life. However, the way band won't work if the wearer is not receiving vibrations in their optical nerve. Team members meet in Central Park to test the prototype and Simon completes the wave and with a haptic sensor that detects other people in front of him, it works just like the sensors in parking lots, but with a vibration instead of a sound. The marathon is Simon's biggest challenge yet, but he trusts technology and is confident that the way band will work. It is only through these moments where technology advances that people like Simon can achieve their dreams.

01:00:00 - 01:25:00

This video discusses IBM's work in artificial intelligence, and how it has the potential to help us solve many of our world's problems. Dr. Miguel A. López-Canal also discusses the ethical concerns surrounding artificial intelligence, and how we should use the technology to our advantage instead of fearing it.

01:00:00 The video discusses how artificial intelligence (AI) can be used to improve humans' abilities, specifically by increasing senses or knowledge. The motivations for completing a marathon were to ensure that future technology is accessible to the average person and to challenge people's ideas of privacy. The video also discusses facial recognition technology and how it can be used for security purposes.
01:05:00 The video discusses the potential applications of artificial intelligence for law enforcement and security. It discusses how facial recognition technology can be used to identify criminals, and how it can be used to identify people based on their political and social opinions.
01:10:00 The video discusses the dangers of artificial intelligence, which is now being used to stereotype people. For example, Watson won a competition to help computers understand human language, but was updated with more powerful capabilities that can be used in all industries, including medical. Watson for Drug Discovery processes massive amounts of medical literature to help researchers find new drugs. Parkinson is a movement disorder caused by the degeneration of specific cells in the brain. With this hand, fast movements and broad gestures can be achieved with ease, but often has a trembling hand. Depression and anxiety are also common issues, and it is difficult to research Parkinson because it is a slow disease. Small clinical trials are needed to test if the technology has an impact, and then Parkinson patients must accept the older treatment, which is more difficult but possible.
01:15:00 In this video, IBM's Watson is discussed. Jonathan DiMarco, a Watson developer, says that the thing is real and that there may be ways to use it in Parkinson's research. However, the real challenge is that it is not possible for humans to read all of the medical literature on medications, and that Watson can help with that. There are also things that Watson cannot do that humans can, and when new medications are tested with Watson, it is exciting to see how it can help speed up the process of drug discovery. In the end, the video talks about how Watson is changing the way Parkinson's research is done and is very optimistic about the future of artificial intelligence and Parkinson's research.
01:20:00 The video discusses how artificial intelligence (AI) is progressing at an alarming rate, with IBM's recent project showing that Watson can process massive amounts of information in very little time. The speaker, a Parkinson's patient, accepts the possibility of AI becoming smarter than humans one day, calling it a "singularity." This event would be analogous to the arrival of an extraterrestrial civilization on Earth, with AI being the superior species.
01:25:00 In this YouTube video, IBM's cognition scientist Dr. Miguel A. López-Canal discusses the company's work in artificial intelligence (AI). He says that while artificial intelligence is still in its early stages, it has the potential to help us solve many of our world's problems. He also discusses the ethical concerns surrounding artificial intelligence, and how we should use the technology to our advantage instead of fearing it.