The most AI savvy person in the world has arrived!

You may not have heard of his name, but you may have heard of the Turing Award Prize, which is known as the Nobel Prize in the computer industry.

In 2007, Joseph Sifakis, a foreign academician of the Chinese Academy of Sciences, won the Turing Award for his model checking theory. He may be one of the most knowledgeable people on Earth in computer science and artificial intelligence.

Professor Xifakis proposed model checking, which refers to the use of mathematical algorithms to verify whether software or hardware systems meet preset requirements in terms of security and reliability. Model checking will troubleshoot the overall operation process of a system, and once a bug occurs, an error will be reported immediately. So, before chip production, it is necessary to conduct a model check to confirm that all potential defects have been corrected.

The model checking theory has been widely applied in the fields of security algorithms such as chip detection, integrated circuit design, and embedded systems. It has been used in daily production practices by companies such as Intel, IBM, and Microsoft, and continuously inspires new software specifications and detection algorithms. From spaceships to unmanned vehicles, almost all of today's software and hardware verification and chip verification research are based on this.

Recently, Toutiao launched a series of "Curious Dialogue" videos, and invited Professor Hifakis to talk with Lao Shi, an associate researcher of the Institute of Computing Technology of the Chinese Academy of Sciences and a high-quality creator of Toutiao science. Two authoritative scholars in the field of AI will explore the relationship between knowledge, information, intelligence, and human consciousness, and discuss the similarities and differences between artificial intelligence and human intelligence, in conjunction with Professor Hifarkis' new book 'Understanding and Changing the World'.

Professor Xifakis believes that human intelligence is a complex product of social evolution. "Human judgments are often subjective, and therefore test cases may have biases." Therefore, to measure the gap between machine intelligence and human intelligence, it is necessary to first define the level of human intelligence.

Is the inability of the human brain to multithread complex things really a disadvantage?

Can machines that pass the Turing test be counted as "intelligent"?

Can the Turing test be used to define the level of ChatGPT?

How far are we from achieving universal artificial intelligence?You may not have heard of his name, but you may have heard of the Turing Award Prize, which is known as the Nobel Prize in the computer industry.

In 2007, Joseph Sifakis, a foreign academician of the Chinese Academy of Sciences, won the Turing Award for his model checking theory. He may be one of the most knowledgeable people on Earth in computer science and artificial intelligence.

Professor Xifakis proposed model checking, which refers to the use of mathematical algorithms to verify whether software or hardware systems meet preset requirements in terms of security and reliability. Model checking will troubleshoot the overall operation process of a system, and once a bug occurs, an error will be reported immediately. So, before chip production, it is necessary to conduct a model check to confirm that all potential defects have been corrected.

The model checking theory has been widely applied in the fields of security algorithms such as chip detection, integrated circuit design, and embedded systems. It has been used in daily production practices by companies such as Intel, IBM, and Microsoft, and continuously inspires new software specifications and detection algorithms. From spaceships to unmanned vehicles, almost all of today's software and hardware verification and chip verification research are based on this.

Recently, Toutiao launched a series of "Curious Dialogue" videos, and invited Professor Hifakis to talk with Lao Shi, an associate researcher of the Institute of Computing Technology of the Chinese Academy of Sciences and a high-quality creator of Toutiao science. Two authoritative scholars in the field of AI will explore the relationship between knowledge, information, intelligence, and human consciousness, and discuss the similarities and differences between artificial intelligence and human intelligence, in conjunction with Professor Hifarkis' new book 'Understanding and Changing the World'.

Professor Xifakis believes that human intelligence is a complex product of social evolution. "Human judgments are often subjective, and therefore test cases may have biases." Therefore, to measure the gap between machine intelligence and human intelligence, it is necessary to first define the level of human intelligence.

Is the inability of the human brain to multithread complex things really a disadvantage?

Can machines that pass the Turing test be counted as "intelligent"?

Can the Turing test be used to define the level of ChatGPT?

How far are we from achieving universal artificial intelligence?