Quantum tunneling and Computer Engineering

AI Thread Summary
Quantum computing is theorized to potentially surpass classical computing, raising questions about its impact on AI development. If quantum computing becomes viable, it could significantly enhance computing speed and memory, but the design of intelligent systems will remain crucial. Concerns exist about the relevance of computer engineering careers in AI due to quantum advancements, yet the need for human oversight in programming persists. Current programming languages are evolving to be more powerful and versatile, maintaining fundamental similarities despite their complexity. The discussion emphasizes that until computers can autonomously write programs and think, human programmers will continue to play an essential role in AI development.
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It is a theory, but quantum computing could most likely out perform classical computers. In this regard, would it limit the progression of AI if it could go beyond classical computing? Assuming that quantum computing catches up and out performs classical computers, will computer engineers have been taught skills to a level where they can apply quantum computing towards AI? I am worried that pursuing a career as a Computer Engineer in AI will be obsolete due to quantum computing in the next few decades.
 
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I am by no means an expert here, but I think that if quantum computing were one day to be aplicable it would result in a giant leap in computing speed and memory capabilities, this does not mean that the actual design of intelligent systems will no longer be relevant.
 
If you're into programming things in assembly, then maybe you should be worried. But nobody does that anymore, unless they REALLY need to optimize their speed. Today's programming languages are obfuscated to the point where the language has little if anything to do with the technology that supports it.

Programming AI will be obsolete when computers can write programs for us, and do our thinking for us. You have to be able to ask your computer a question, have it understand what you're asking, and be capable of calculating the results and presenting it to you in a meaningful way. Until then, people are going to have to be doing the thinking, and they're going to use programming languages to do it.

Now, languages have been getting progressively more powerful-- so they're becoming more object oriented and versatile, where older programming languages focused on more atomic actions. But the fundamentals are still very similar.

DaveE
 
Dear Peeps I have posted a few questions about programing on this sectio of the PF forum. I want to ask you veterans how you folks learn program in assembly and about computer architecture for the x86 family. In addition to finish learning C, I am also reading the book From bits to Gates to C and Beyond. In the book, it uses the mini LC3 assembly language. I also have books on assembly programming and computer architecture. The few famous ones i have are Computer Organization and...
I have a quick questions. I am going through a book on C programming on my own. Afterwards, I plan to go through something call data structures and algorithms on my own also in C. I also need to learn C++, Matlab and for personal interest Haskell. For the two topic of data structures and algorithms, I understand there are standard ones across all programming languages. After learning it through C, what would be the biggest issue when trying to implement the same data...
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