Trends of artificial intelligence for the next ten years – opinion

Written by Ricardo Martino

Imagine starting your day by 2035.

You will have a smart assistant controlled by sound, connected to all aspects of your life that can start by recommending a family meal plan for this week, adapting it to everyone’s preferences, then tells you the current situation of your store, and ask the grocery if necessary.

Your trip to the workplace becomes automatically where your virtual driver sails the most efficient road, with adaptation to traffic and climate in an actual time. In your workplace, AI’s partner analyzes daily tasks and provides implemented visions, helps in routine tasks and works as a database for dynamic and pre -emptive knowledge.

Personally, artificial intelligence technology can create dedicated entertainment, generate stories, music, or visual arts for your taste. If you want to learn something, AI can provide lessons in video adapting to your learning style and integrating text, pictures and sound.

Currently, artificial intelligence (IA) has already started on its way. It is not just a way. It is not a stage. In fact, more than 60 countries have developed national strategies for the prosecution to take advantage of the benefits of this technology, which also reduces its risks. This means a major investment in research and development, review and adaptation of organizational rules and relevant employees and ensuring that technology does not harm the fair labor market and international cooperation.

Communication between humans and machines has become easier, allowing users to do more and more knowledgeable. Artificial intelligence is expected to add $ 4.4 billion to the global economy.

Until 2034, AI will become an element in many aspects of our personal and professional lives.

• The progress of artificial intelligence must include the next ten years: The current multimedia situation:
• While unclear artificial intelligence focuses on one type of data, such as the processing of natural language (PLN) or arithmetic vision, multimedia intelligence is similar to how humans communicate, understanding data through images, audio expressions, and sound effects. It has the ability to enhance virtual assistants and advanced chat chat who understand complex queries and can respond more specialized.Democracy from artificial intelligence and the easiest to create models
• : Artificial intelligence will become more integrated in personal and professional fields, driven by easy -to -use platforms that allow even those who do not tell the use of artificial intelligence in companies, individual tasks, research and creative projects. For companies, the easiest to create models means faster innovations, with AI tools for each company job. AI Tools Accessing will enhance a new headquarters of individual innovation, allowing the development of artificial intelligence applications for personal projects.Hallucinogenic
• : Since the initial artificial intelligence becomes more used in institutions, companies can start providing “artificial intelligence hallucinations”. Despite intensive training, artificial intelligence models can lead to incorrect or deceptive results due to wrong assumptions or bias. Insurance companies will be able to cover the financial risks and reputation associated with these errors, similar to what they are doing with financial fraud and data violations. no C-SUITE:
• Decisions and modeling of artificial intelligence will advance to the point where artificial intelligence systems will work as strategic commercial partners, assisting executives – CEO, Financial Director, CO, … – to make informed decisions and automatically automatically. Improving PLN of artificial intelligence allows to participate in conversations with leadership, and to advise based on predictive modeling and scenario planning. Quantum heels:
• Quantum AI, using the unique characteristics of QBits, can break the classical artificial intelligence restrictions, and solve problems that were previously insoluble due to mathematical restrictions. Quantitative computing will provide a promising way to innovate artificial intelligence, as it can significantly reduce the time and resources needed to train and implement large AI models. The duo exceeded:
• This approach addresses the energy challenge by allowing Amnesty International to process information more efficiently, based on multiple cases instead of dual data (0S and 1S), using triple parameters. This can lead to faster and low energy consumption. Artificial Intelligence Organization and Ethics: Artificial intelligence models, especially public and large, may have to comply with transparency, durability and cybersecurity. These guidelines are likely to expand all over the world, yetI have a verb
• Which determines criteria for health, financial and critical infrastructure sectors. Artificial intelligence systems will be asked to include human supervision, protect basic rights, address issues such as bias, fairness, and ensure responsible implementation. Aiceric Ai:
• Artificial intelligence, which expects pre -emptive needs and decision -making independently, becomes an essential part of personal and commercial life. It refers to the systems consisting of specialized agents working independently, each of which performs specific tasks, allowing companies to automate complex operations such as customer support or network diagnosis. Your ability to anticipate independent needs, make decisions and learn from your environment can make them more efficient and profitable, complement the general capabilities of LLMS and increase access to artificial intelligence in all industries. Data use:
• Since human data becomes rare, companies are already changing to artificial data – artificial data groups that simulate the real world patterns without the same restrictions on resources or moral fears. Artificial intelligence training data will include satellite images, biometric data, audio records and IOT sensor data. Companies will invest in the quality of data so that both real and artificial data meet high standards of reliability, accuracy and diversity, and maintain strong artificial and moral intelligence performance. Moon thinking:

With the development of artificial intelligence, innovative innovative ideas appear “out of criticism” in addressing current restrictions and expanding the borders, which can be achieved by artificial intelligence. There are already some in sabotage areas such as nervous computing, visual computing, artificial intelligence, or computing after Moo.

I have no doubt that artificial intelligence is increasing and developing technology, and its impact on global processes will be enormous, which are climate challenges, improvement of automation, job disruption, deep fractures, emotional and social effects and scarcity of human data.