Artificial Intelligence (AI): Trend and big players
There is a lot of buzz around artificial intelligence (AI), as more and more companies and start-ups claim to be using it or developing AI-focused systems.
In some cases, companies use old data analytics tools and label them as AI to boost public relations. But identifying companies, start-ups and projects that actually get revenue growth from AI systems integration or development can be difficult.
But what really is AI?
AI, or artificial intelligence, in a nutshell, refers to the simulation of human intelligence in machines programmed to think and act like humans. These machines are designed to learn, reason and make decisions just like humans and can be trained to perform a wide range of tasks, from games to driving cars.
AI uses computer algorithms to replicate the human ability to learn and make predictions. The AI system needs computing power to find patterns and make inferences from large amounts of data.
The two most common types of AI tools are called "machine learning" and "deep learning networks."
What are the areas where AI is applicable?
AI is a broad term. It can be used in many fields and contexts including health care, finance, education, transportation, art, and many others.
Some common examples of AI applications are virtual personal assistants, facial recognition technology, autonomous vehicles, and systems for creating realistic images and artwork from a description (better known as a prompt).
Key players in the AI scene
There are many companies known for their work in the field of artificial intelligence. Among the most famous are Google, Microsoft, Facebook, Amazon, and Apple. These companies are known for their research and development in the field of artificial intelligence and for incorporating AI technology into their products and services.
If we analyze the publicly traded companies, the circle narrows considerably, we list together the big players in the AI field:
Nvidia (NVDA) is one company that can boast of AI-driven growth. Internet and technology companies are buying its processors for cloud computing. Nvidia's AI chips are also helping the development of self-driving cars in the early stages of testing. Startups are racing to build AI chips for data centers, robotics, smartphones, drones and other devices. Tech giants Apple (AAPL), Alphabet (GOOGL), Google's parent company, Facebook (FB) and Microsoft (MSFT) have made strides in applying AI software-from speech recognition to Internet search and image classification and development. Amazon.com's artificial intelligence especially extends to cloud computing services and voice-activated home digital assistants.
Then there are technology companies that incorporate AI tools into their products to improve them. These include video streamer Netflix (NFLX), payment processor PayPal (PYPL), Salesforce.com (CRM), and again Facebook.
Customers of technology companies spanning banking and finance, healthcare, energy, retail, agriculture, and other sectors are expected to increase investments and allocate new funds for AI in order to gain productivity gains and/or a strategic advantage over rivals.
In addition to the companies mentioned above, one of the leading players in AI systems development is OpenAI (no, it is not publicly traded).
OpenAI is an artificial intelligence research institute and laboratory founded in 2015. It is dedicated to advancing and promoting AI research and development in a safe and responsible manner. The organization is known for developing AI algorithms and systems capable of achieving human-like intelligence. OpenAI is a nonprofit organization supported by a number of high-profile donors and sponsors, including Elon Musk and the Chan Zuckerberg Initiative.
The revolutionary tools of OpenAI
Among OpenAI's most important achievements is the development of the GPT-3 language model, which has been widely used in natural language processing applications.
Currently, it is already possible to test the chat at the "research preview" stage on the main site, putting it to the test by proposing complex themes and topics, such as programming languages, algorithms, or simple advice on how to furnish a house.
Another revolutionary tool, proposed by the nonprofit organization, is DALL-E.
DALL-E is a large language model that has been "trained" by OpenAI. It can generate images from textual descriptions, using a neural network with 14 billion parameters. DALL-E uses a combination of natural language processing and computer vision techniques to generate highly detailed and imaginative images. For example, when prompted for the text "A bird with the body of a giraffe and the head of a parrot," DALL-E could generate an image of a giraffe with the head of a parrot...simpler than that!
Digital ART and NFT
DALL-E has enabled many designers and artists to be able to create very complex artwork and works, resulting in incredible results with the simple development of a detailed description, all in very little time. While still little mentioned in the media and little used by retailers, we have already seen a fair amount of interest arising from artists, especially in the area of digital art and NFT.
The current NFT market, although in a bearish phase, has seen a remarkable increase in volumes in the last week. What is curious is that in the top 100 ranking of the highest volume projects on OpenSea (the number one marketplace for buying and selling NFT), 40% are generative or AI-made art collections, with some sales exceeding 65 Ethereum ($80K+).
In addition to art collections, exciting projects have sprung up using blockchain technology combined with AI systems proposed by OpenAi and beyond.
One example is 0xAI, a startup on the ethereum blockchain that provides its users with the most powerful AI systems for creating digital works, greatly simplifying the process of use and adoption.
Native blockchain and non-onchain startups using artificial intelligence will soon be the order of the day. Although the potential is obvious, it is necessary to analyze the foundations of the projects, the products offered and their growth prospects, as it is easy to create an extremely saturated and insolvent market.
Conclusion
The AI revolution has just begun, we are at the beginning of a new era where technology as we are used to seeing it could "mutate" significantly and it is already happening.
Leading technology companies have long shown the interest, desire and need to convert to AI systems, both to facilitate the productivity process and thus save funds in the medium/long term, and to capture the interest of new potential investors.
We will closely monitor developments in this new and intriguing branch of modern technology.
In some cases, companies use old data analytics tools and label them as AI to boost public relations. But identifying companies, start-ups and projects that actually get revenue growth from AI systems integration or development can be difficult.
But what really is AI?
AI, or artificial intelligence, in a nutshell, refers to the simulation of human intelligence in machines programmed to think and act like humans. These machines are designed to learn, reason and make decisions just like humans and can be trained to perform a wide range of tasks, from games to driving cars.
AI uses computer algorithms to replicate the human ability to learn and make predictions. The AI system needs computing power to find patterns and make inferences from large amounts of data.
The two most common types of AI tools are called "machine learning" and "deep learning networks."
What are the areas where AI is applicable?
AI is a broad term. It can be used in many fields and contexts including health care, finance, education, transportation, art, and many others.
Some common examples of AI applications are virtual personal assistants, facial recognition technology, autonomous vehicles, and systems for creating realistic images and artwork from a description (better known as a prompt).
Key players in the AI scene
There are many companies known for their work in the field of artificial intelligence. Among the most famous are Google, Microsoft, Facebook, Amazon, and Apple. These companies are known for their research and development in the field of artificial intelligence and for incorporating AI technology into their products and services.
If we analyze the publicly traded companies, the circle narrows considerably, we list together the big players in the AI field:
Nvidia (NVDA) is one company that can boast of AI-driven growth. Internet and technology companies are buying its processors for cloud computing. Nvidia's AI chips are also helping the development of self-driving cars in the early stages of testing. Startups are racing to build AI chips for data centers, robotics, smartphones, drones and other devices. Tech giants Apple (AAPL), Alphabet (GOOGL), Google's parent company, Facebook (FB) and Microsoft (MSFT) have made strides in applying AI software-from speech recognition to Internet search and image classification and development. Amazon.com's artificial intelligence especially extends to cloud computing services and voice-activated home digital assistants.
Then there are technology companies that incorporate AI tools into their products to improve them. These include video streamer Netflix (NFLX), payment processor PayPal (PYPL), Salesforce.com (CRM), and again Facebook.
Customers of technology companies spanning banking and finance, healthcare, energy, retail, agriculture, and other sectors are expected to increase investments and allocate new funds for AI in order to gain productivity gains and/or a strategic advantage over rivals.
In addition to the companies mentioned above, one of the leading players in AI systems development is OpenAI (no, it is not publicly traded).
OpenAI is an artificial intelligence research institute and laboratory founded in 2015. It is dedicated to advancing and promoting AI research and development in a safe and responsible manner. The organization is known for developing AI algorithms and systems capable of achieving human-like intelligence. OpenAI is a nonprofit organization supported by a number of high-profile donors and sponsors, including Elon Musk and the Chan Zuckerberg Initiative.
The revolutionary tools of OpenAI
Among OpenAI's most important achievements is the development of the GPT-3 language model, which has been widely used in natural language processing applications.
Currently, it is already possible to test the chat at the "research preview" stage on the main site, putting it to the test by proposing complex themes and topics, such as programming languages, algorithms, or simple advice on how to furnish a house.
Another revolutionary tool, proposed by the nonprofit organization, is DALL-E.
DALL-E is a large language model that has been "trained" by OpenAI. It can generate images from textual descriptions, using a neural network with 14 billion parameters. DALL-E uses a combination of natural language processing and computer vision techniques to generate highly detailed and imaginative images. For example, when prompted for the text "A bird with the body of a giraffe and the head of a parrot," DALL-E could generate an image of a giraffe with the head of a parrot...simpler than that!
Digital ART and NFT
DALL-E has enabled many designers and artists to be able to create very complex artwork and works, resulting in incredible results with the simple development of a detailed description, all in very little time. While still little mentioned in the media and little used by retailers, we have already seen a fair amount of interest arising from artists, especially in the area of digital art and NFT.
The current NFT market, although in a bearish phase, has seen a remarkable increase in volumes in the last week. What is curious is that in the top 100 ranking of the highest volume projects on OpenSea (the number one marketplace for buying and selling NFT), 40% are generative or AI-made art collections, with some sales exceeding 65 Ethereum ($80K+).
In addition to art collections, exciting projects have sprung up using blockchain technology combined with AI systems proposed by OpenAi and beyond.
One example is 0xAI, a startup on the ethereum blockchain that provides its users with the most powerful AI systems for creating digital works, greatly simplifying the process of use and adoption.
Native blockchain and non-onchain startups using artificial intelligence will soon be the order of the day. Although the potential is obvious, it is necessary to analyze the foundations of the projects, the products offered and their growth prospects, as it is easy to create an extremely saturated and insolvent market.
Conclusion
The AI revolution has just begun, we are at the beginning of a new era where technology as we are used to seeing it could "mutate" significantly and it is already happening.
Leading technology companies have long shown the interest, desire and need to convert to AI systems, both to facilitate the productivity process and thus save funds in the medium/long term, and to capture the interest of new potential investors.
We will closely monitor developments in this new and intriguing branch of modern technology.
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