What's the sampah uni maybe they just want to show off they are smart, studying engineering sap sap sui but actually work like tired ayam behind.

Many engineering students, in my experience, end up becoming nerds in college. Most can't find girls and end up becoming kuli after graduating. Some become technicians, while others are fortunate enough to work for reputable companies. If they study until they get their PhD, they will already be more nerdy scientists.

Accounting students appear to have a more balanced college experience. After graduation, it is simple to find work and work indoors. Prepare to marry earlier. One of my relatives, who studied chemical engineering until obtaining a PhD, married at a late age. He traveled extensively to increase his salary. It appears to be a difficult job requiring intelligence, hard work, and talent.

Engineering may be more difficult in terms of abstract thinking, but it appears to be a more suitable path for talented individuals to pursue.

This post has been edited by hellothere131495: Jun 6 2021, 02:30 PM

Which of the civil, electrical and electronic, chemical, and mechanical engineering disciplines is the most difficult? Because of the math and physics involved, I believe electrical engineering is the most difficult. For example, in electromagnetic fields theory, the double and triple integrals used to understand the behavior of charged particles, which cannot be seen with the naked eye, truly required good imagination and logical thinking. Artificial intelligence algorithms, such as deep neural networks used in digital image processing and analysis, necessitate a strong mathematical foundation to comprehend machine learning and deep learning techniques.

Consider convolution neural networks. Understanding how the neural network can learn the features of handwritten numbers independently already requires a significant amount of brain energy. We haven't discussed how to create a novel convolution neural network architecture capable of automatically detecting cancer cells in medical images. The mere mention of artificial intelligence puts many people off (not for interested people).

That is only introduction to one or two topics in one engineering field…

How about a PhD in Engineering?

That is correct. Some mbbs students did not even perform well in their spm. They ended up joining housemanship as well.

Is this based on a survey? Is there a journal paper about this ranking that has been published? There must be a source in a conference or a journal that ranks course difficulty.

Putting engineering and accounting ahead of medicine is, after all, a little perplexing. I always thought medicine was the most challenging course because of the long degree duration and the requirement to obtain an MD to specialize in a specific field.

Yes, AI is replacing lots of things nowadays. And these AIs need professionals to supervise them.

This is very true. Almost everyone wants to hear that you’re engineer, medicine, or lawyer.

How about university? Do they actually care about uni rankings? Like go UM study?

To be clear, AI is not synonymous with bots.

Numerous individuals use the terms interchangeably. However, the true distinction between AI and automated systems is as follows:

AI is capable of learning in the same way that humans do. We do not program them to perform a particular task. Rather than that, we program them to learn things. As a result, they are capable of self-learning and performing a specific task independently. This is especially true for algorithms based on deep learning. For example, if we feed the AI 1000 images of cancer cells, he can learn the features of cancer cells and determine whether or not a new image he has never seen before contains cancer cells. The remarkable thing is that you can train him using images of other objects (not just cancer cells) to accumulate knowledge and become more intelligent over time.

Bots are intelligent computer programs that can perform tasks autonomously without human intervention. However, this does not mean artificial intelligence, as bots cannot learn from experience or mistakes. Nonetheless, certain AI algorithms can be used to develop bots.

Truly appreciate your articles concerning the impact of artificial intelligence on human sources. The subject is intriguing. It appears as though the topic has evolved to include whether artificial intelligence will eventually replace accountants. Let us avoid becoming too fixated on accountants. Instead, let us discuss whether or not AI will eventually supplant humans. That will make the discussion more comfortable. The sources you cite are Google articles, and most of them are unsupported by research. There is no methodology employed, and the statements are unsubstantiated by experts. Allow me to provide you all with credible sources and compile them.

There is a study done by Grace et al. [1] that provides the results of a comprehensive survey of machine learning researchers about their opinion on the advancement of artificial intelligence. According to their findings, within the next decade, machine learning researchers anticipate that AI will beat humans in a variety of tasks, including translating languages (by 2024), writing high-school essays (by 2026), driving a truck (by 2027), working in retail (by 2031), producing a popular book (by 2049), and working as a surgeon (by 2053). Furthermore, AI will exceed humans in all activities in 45 years and automate all human professions in 120 years, with Asian respondents anticipating these dates significantly sooner than North Americans.

In response to the coronavirus, robots were swiftly deployed [2]. They materialized out of nowhere to clean airport floors and collect temperature readings from passengers. Hospitals and universities have implemented Sally [3], a salad-making robot, to replace staff in dining halls. Malls and stadiums have purchased Knightscope security-guard robots [4] to patrol vacant real estate. Moreover, another paper by Vaishya et al. [5] states that healthcare organizations urgently need decision-support tools to assist them in managing this virus and receiving timely information to help avoid its spread. They claimed that employing artificial intelligence may significantly add to our understanding and suggestions for developing a COVID-19 vaccine. This outcome-driven system enables the accurate screening, analysis, prediction, and follow-up of current and future patients. Numerous AI algorithms have been used to track data from confirmed, recovered, and fatal cases.

Another interesting question is whether AI will eventually take over the world. This is highly improbable. Many computer scientists see an AI revolution in which humans and AI coexist and benefit from one another’s capabilities, but humans closely regulate AI [6]. Humans would continue to have a role in society in this scenario, innovating and resolving ethical concerns about AI (naturally, what humans are excellent at) [7]. Although the duration of this parallel link is uncertain, it may be long enough for humans to create a higher form of intelligence, therefore narrowing the gap between AI and human cognition and avoiding AI supremacy [8].

Credible Sources:
[1] K. Grace, J. Salvatier, A. Dafoe, B. Zhang, and O. Evans, “Viewpoint: When will AI exceed human performance? Evidence from AI experts,” J. Artif. Intell. Res., vol. 62, pp. 729–754, Jul. 2018, doi: 10.1613/jair.1.11222.
[2] S. Vilendrer et al., “Rapid deployment of inpatient telemedicine in response to COVID-19 across three health systems,” J. Am. Med. Informatics Assoc., vol. 27, no. 7, pp. 1102–1109, Jul. 2020, doi: 10.1093/jamia/ocaa077.
[3] S. Masroor, H. Bulut, Bahrudin, and C.-Y. Lin, “Review on powered mobility and meal preparing assistive devices for physically disabled persons,” in Mechanisms and Machine Science, vol. 78, 2020, pp. 16–28.
[4] E. E. Joh, “A certain dangerous engine: private security robots, artificial intelligence, and deadly force,” UC Davis Law Rev., pp. 569–587, 2017, [Online]. Available: https://lawreview.law.ucdavis.edu/issues/51...um/51-2_Joh.pdf.
[5] R. Vaishya, M. Javaid, I. H. Khan, and A. Haleem, “Artificial Intelligence (AI) applications for COVID-19 pandemic,” Diabetes Metab. Syndr. Clin. Res. Rev., vol. 14, no. 4, pp. 337–339, Jul. 2020, doi: 10.1016/j.dsx.2020.04.012.
[6] M. Guihot, A. Matthew, and N. P. Suzor, “Nudging robots: Innovative solutions to regulate artificial intelligence,” Nudging Robot. Innov. Solut. to Regul. Artif. Intell., 2017, doi: 10.31228/osf.io/5at2f.
[7] S. Amershi et al., “Guidelines for human-AI interaction,” in Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, May 2019, pp. 1–13, doi: 10.1145/3290605.3300233.
[8] A. Webb, “The big nine. How the tech titans & their thinking machines could warp humanity,” J. Chem. Inf. Model., vol. 53, no. 9, pp. 1689–1699, 2019.

USM's EE course structure:
https://www.usm.my/images/pdf_ijazah/06elec..._electronic.pdf

Even for electrical engineering the students still study that course covering C++. Btw, E&E is a traditional engineering fields. You've left it out. Such a popular traditional field how come you can forget?