We already do.
With artificial intelligence.
Human brain processing power is way more than AI. This separates humans from Artificial Intelligence.
There is just intelligence not "natural" and "artificial". The conceit of humans is that if they make the intelligence it is somehow inferior to their own. The label "artificial" maintains that illusion. Machine contained intelligence may well be much superior to our own meat based form..
Artificial intelligence (AI)
Robots can not advance their hardware they can only duplicate it so that artificial intelligence through robots will not advance unless humans have some sort of input into it.
Humans will become lazy and obese. The robots will be doing all the work for them.
Artificial Intelligence
It all depends on your definition of smarter. However, a microprocessor does not have any recognized intelligence; it only performs activity. Artificial intelligence is software that has various methods to make independent decisions about specific interactions with the environment. A microprocessor can exist without artificial intelligence, but artificial intelligence can not exist without a microprocessor to execute instructions.
The artificial passenger is a type of artificial intelligence. Artificial Intelligence is defined by Webster's as: 1 : a branch of computer science dealing with the simulation of intelligent behavior in computers 2 : the capability of a machine to imitate intelligent human behavior. From that we can tell that any program that can strike up a conversation with a human (such as the artificial passenger) would be artificial intelligence. However, other things may also be considered artificial intelligence such as a computer that could make decisions for the government.
AI training is the process of teaching computer systems to perform human-like tasks by feeding them vast amounts of data, allowing algorithms to learn patterns, make decisions, and improve over time, and it's crucial for automation, enhanced decision-making, personalization, and innovation across industries. It moves AI from basic programming to intelligent, adaptable systems that power everything from smart assistants to complex data analysis, making businesses more efficient and competitive. Data-Driven Learning: It's about exposing algorithms to large, curated datasets (like images, text, or numbers) so they can identify patterns and relationships, much like humans learn from experience. Pattern Recognition: The goal is for the AI model to recognize patterns, understand context, and use those insights to solve problems or make predictions without being explicitly programmed for every scenario. Iterative Process: Training involves continuous cycles of feeding data, testing the model, getting feedback, and refining the algorithms until performance is accurate and reliable. Key Components: Relies on data, algorithms (like machine learning, deep learning), and computational power to build models that can understand language, see (computer vision), or make complex decisions. Why is AI Training Important?
Very smart, they can identify faces better then humans can. Read and understand many diffrent langauges... Hypothethically speaking, if an AGI (Artificial General Intelligence) were to be created, it would have an approximate IQ of 600.
Humans will become lazy and obese. The robots will be doing all the work for them.