Bluetooth is the most reasonable answer
Answer:
examples are:
com or .edu is a top-level domain name (TLD)
cornell.edu is a second-level domain name (SLD)
bigred.cornell.edu is a third-level or three-part domain name
project.bigred.cornell.edu is a fourth-level or four-part domain name
hope this helps you.
Have you ever tried to learn a new language or do you have friends who've had that experience?
Yes, I tried to learn Python and I even managed to do two Discord bots which are (somewhat) functional, but I'm far to say that I've managed to lean the language completly. There are lots of things to learn on a language as Python.
I also leant PHP on my own and managed to do a website (somehow) functional.
What are some of the steps you would take to learn a new language, and what are some challenges that might arise?
The first steps in learning any computer language is learning the syntax. If you manage to do that, with the experience you gained from previous projects/languages you might be able to create something working. At times you might feel down if the project doesn't work as expected.
What are some things that can help make the process easier?
Video tutorials, experiments and searching questions and problems on Google is a very important resource.
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.
