Artificial Intelligence uses machines (commonly computers) to mimic human intelligence. While its usefulness is debatable, AI has become commonplace in a wide range of applications, from creating generative chatbots to the choices displayed in Netflix queues. To learn more about this fast-growing sector and what it means for your investment portfolio, read on.
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What is Artificial Intelligence?
What is Artificial Intelligence?
Once a science fiction staple, artificial intelligence, or Frankenstein, is commonly used by billions of people. Although there is no clear definition, it is generally accepted that artificial intelligence is the use of computers to imitate human judgment. These days, it’s used in almost every industry, but most of it goes unnoticed.
Categories of artificial intelligence
Categories of artificial intelligence
There are three basic categories of artificial intelligence.
- Narrow AI: Artificial intelligence can be built for very specific tasks such as playing games, keeping spam out of your inbox, helping you find nearby restaurants with your smartphone, or even driving a car.
- AI in general: Artificial intelligence in general is a more advanced form that more closely resembles human capabilities and includes visual and verbal processing, situational understanding, and the ability to adapt to a variety of tasks. It is believed to be in the distant future.
- artificial super AI: Imagine a machine that is smarter than you, much smarter than you. Artificial superintelligence is still only a theory, but early advances in AI pose interesting and thorny questions for the future of humanity.
Types of artificial intelligence
Types of artificial intelligence
The proliferation of data and other online resources has exploded the use of artificial intelligence. But not all AI is the same. Explore four different types of artificial intelligence to understand how they are developed and used.
1. Machine learning
The idea behind machine learning is to use sample data to train a computer program to recognize patterns based on algorithms. Machine learning programs allow computers to do things without being programmed. The efficiency of machine learning is generally algorithm dependent.
Machine learning is relatively commonly used. Pinterest (pin 1.67%) account. The image sharing and social media website started using machine learning with its 2015 acquisition of Kosei. Since then, machine learning has been employed to help users discover content, curb spam, advertise directly, and target newsletters.
2. Neural network
A neural network is a computer system designed to mimic neurons in the brain. Networks are designed to learn through processing examples, using well-understood inputs and predicted outcomes. As the network gains experience, its output reflects the desired outcome.
alphabet (Google 1.11%)(goog 1.16%), the parent company of search giant Google, has been researching neural networks since 2014. His DeepMind project at the company aims to use artificial intelligence to build even more powerful algorithms. This project is best known for the neural network that learned how to play his 49 different Atari video games by displaying pixels and scores on the screen.
3. Natural language processing
Natural language processing is often confused with simple speech recognition. This certainly includes the ability to understand speech, but it involves more than simple speech-to-text (or vice versa) translation. One of the goals of natural language processing is to design computers that can fully understand and analyze documents.
microsoft (MSFTMore 0.95%) has become a major player in the space since investing $13 billion in OpenAI, the startup that created ChatGPT. The company’s Azure is the only cloud provider of generative chatbots, offering sentiment analysis, text classification, text summarization, and more.
4. Robotics
The history of robot use goes back hundreds of years, but machines that can assist people without the actual human involvement are fairly new. His one of the first autonomous robots was installed in his 1961 and was used to lift a piece of hot metal from a machine. Robots have become much more common since then. It’s used for everything from space exploration to carpet vacuuming.
Robotics has evolved beyond industrial applications and is used in a wide range of applications, including medical. The da Vinci system intuitive surgery (ISRG 0.53%) are used in a wide range of surgeries, for example heart valve, prostate and gynecological surgeries.
Related investment topics
Importance of artificial intelligence
Importance of artificial intelligence
Clearly, artificial intelligence will have a tremendous impact on just about every imaginable human undertaking, including investments. Imagine a robo-advisor that automatically tracks your portfolio and maximizes its value by making instant, customized adjustments based on company earnings releases, currency movements, and even weather forecasts. please give me.
It’s a compelling vision, but it also has its drawbacks. Artificial intelligence comes at a cost, which makes it (for now) the domain of the rich. Even AI designers cannot anticipate all potential pitfalls. And, of course, there will always be apocalyptic scenarios where AI decides humans aren’t worth the trouble (remember the movies The Matrix and The Terminator).
Many questions related to AI are being asked right now. It may be decades before we have an answer. But it’s good to keep track of this megatrend that will affect the world in ways we probably can’t even imagine yet.
Alphabet executive Suzanne Fry is a member of the Motley Fool’s board of directors. The Motley Fool has positions in and endorses Alphabet, Intuitive Surgical, Microsoft and Pinterest. The Motley Fool has a disclosure policy.
