Is it possible to combine electronic engineering and physics for AI research?

[eljosedelbrandi]

hi there! in case I'm writting this in the wrong place, sorry!
i reached the 7th semester of electronic engineering and i left cause i got bored. this was 10 years ago. in this time i went to germany and austria as an intern, working in EEG models, signal processing, etc. I'm 35 now
thing is, i always had interest in providing consciousness to machines (loved those terminator movies), so i want to keep studying this AI branch, but not from the PoV of electronics, but rather from a theoretical conception that uses concepts of physics, like eg. Roger Penrose does.
is there a connection? should i quit EE and start physics all over? should i end EE (disgusted) and start a masters or phD in physics? is this even possible? i have good language skills in english, german and french.
thanks for ur help
joe

 

[jedishrfu]

Welcome to PF!

What about CompSci AI?

 

[Niflheim]

^ This.

CompSci AI seems like a very good match for what you specified. It's also a very good field to go into currently.

 

[eljosedelbrandi]

thanks for ur answers. i found some links, but i can't figure out exactly which branch you're referring to. any site or book u recommend to begin with?

 

[Matrix0]

Yes, it is definitely possible to combine electronic engineering and physics for AI research. In fact, many AI systems today rely on a combination of electronic circuits and physics-based algorithms. For example, neural networks, a popular AI technique, use electronic components to simulate the connections between neurons in the brain. At the same time, the algorithms used in these networks are often based on principles from physics, such as gradient descent and backpropagation.

As for your specific situation, it is up to you to decide whether you want to continue pursuing electronic engineering or switch to physics. Both fields have valuable skills and knowledge that can contribute to AI research. If you are interested in the theoretical aspects of AI and want to explore concepts from physics, then pursuing a higher degree in physics may be a good option for you. However, if you already have a strong background in electronic engineering and enjoy working with circuits and hardware, then you may want to continue in that field and find ways to incorporate physics into your work.

Ultimately, it is important to choose a path that aligns with your interests and strengths. With your language skills and experience in both electronic engineering and neuroscience, you have a unique background that can be valuable in AI research. You may also consider seeking out interdisciplinary programs or research opportunities that allow you to combine both fields. Good luck with your decision!