artificial intelligence; Why can’t you solve puzzles? Understand this and other AI challenges!

In the corridors Vrije Universityin amsterdam, Artificial Intelligence (AI) It is at the heart of a wonderful experience. Assistant Professor Philip Elevsky leads a study that sounds like a joke, but has serious implications: he challenges artificial intelligence to solve puzzles. Understanding how these machines handle complex thinking can only improve technologyBut it also reveals secrets about the human mind.

the Amnesty InternationalAlthough they are strong at analyzing patterns, they still have difficulties when it comes to applying common sense, which is natural to humans. This obstacle occurs mainly in problems that require abstract thinking, as shown by research conducted by Chuck Petko, an associate professor at Carnegie Mellon University, who studies the relationship between artificial intelligence and neuroscience.

How does artificial intelligence solve riddles and riddles?

An interesting example is when artificial intelligence He tries to solve a seemingly simple puzzle: A recent study challenges the advanced model GPT-4 With a logical question. Although the problem was simple for humans, the machine faced difficulties. This highlights an area where AI continues to grow: temporal reasoning.

• Assessing the passage of time is a task that humans naturally undertake.
• For artificial intelligence, determining the correct sequence of events remains a challenge.
• Complex thinking requires more than just pattern recognition.

Are there limitations in artificial intelligence compared to the human brain?

Although it is believed that the internal structure of artificial intelligencebased on neural networks, can hinder your abstract thinking abilities, and studying the differences and similarities between the human brain and artificial intelligence can provide valuable insights. Both are systems of inference that operate in largely complex, and as yet mysterious, ways.

Petko suggests that this comparative analysis between human brains and machines could help decode AI systems and the workings of the human brain. The use of advanced brain scanning techniques increases our understanding of how these two entities process information.

The challenges do not stop there. Trying to create artificial intelligence Because it is more effective for logical thinking, Ilevsky and his colleagues developed an innovative visual puzzle program. This study showed that humans, with an accuracy rate of 91.5%, outperform AI at solving picture puzzles. This suggests that computers cannot yet match our cognitive abilities on complex visual tasks.

Moreover, age, spatial reasoning, and ethical issues also appear to present significant challenges to current AI systems. Continued study of these aspects, combined with the development of neuroscience, could revolutionize our approach to designing smart technologies.

Why is the integration of the human brain and artificial intelligence so promising?

Finally, Petko highlights that the integration of knowledge between AI and the study of the human brain is promising. By applying discoveries in neuroscience to development New technologies to artificial intelligenceWe will be able to create more advanced and efficient systems. At the same time, these innovations can provide us with a direct window into understanding more complex phenomena in human mental performance.

1. The continuous development of artificial intelligence to improve logical processing.
2. Greater understanding of human brain functions and their applications artificial intelligence.
3. Exploring the collaborative potential between artificial intelligence and human thinking.

Search for artificial intelligence Its applications not only provide us with a way to improve our performance Technological toolsBut also to understand ourselves better. As we navigate a future where men and machines work side by side, we can expect a deeper exploration of human and artificial capabilities.