True, personalization is definitely part of this.
The unique reason why assembler language is preferred to high level language is that It is said to be memory efficient and it is one that requires less memory.
<h3>Why is assembly language better than other kinds of high level?</h3>
It implies means that the programs that one uses to write via the use of high-level languages can be run easily on any processor that is known to be independent of its type.
Note that it is one that has a lot of better accuracy and an assembly language is one that carries out a lot of better functions than any high-level language, in all.
Note also that the advantages of assembly language over high-level language is in terms of its Performance and accuracy as it is better than high-level language.
Hence, The unique reason why assembler language is preferred to high level language is that It is said to be memory efficient and it is one that requires less memory.
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Answer:
D. Expert systems
Explanation:
Artificial intelligence (AI) also known as machine learning can be defined as a branch of computer science which typically involves the process of using algorithms to build a smart computer-controlled robot or machine that is capable of performing tasks that are exclusively designed to be performed by humans or with human intelligence.
Artificial intelligence (AI) provides smarter results and performs related tasks excellently when compared with applications that are built using conventional programming.
Generally, there are two (2) main characteristics of artificial intelligence (AI) systems and these include;
I. Non-algorithmic processing.
II. Symbolic processing.
In artificial intelligence (AI), the field of expert systems is the most important applied area because it models human knowledge.
Hence, expert systems represents knowledge as a set of rules.
Although, all expert systems are generally lacking in human capabilities and can only use inference procedures to proffer solutions to specific problems that would normally require human expertise or competence.
Some of the areas where expert systems can be applied are; monitoring, diagnosis, scheduling, classification, design, process control, planning, etc.
