Answer:
Convergent network
Explanation:
In networking, computers devices are connected together to communicate and share resources. Devices like routers and switches are examples of intermediate network devices and computers, smartphones, tablets and IP phones are all examples of end devices in a network.
In the past, dedicated networks are installed for separate voice, text and video packets. But as information technology evolves, one network is used for all three packets. This network is called convergent network.
Answer:
1. do not give out your age
2. don't use your real name unless you are supervised
3.dont put all your information out there
Answer:
Grace Hopper.
Explanation:
Grace Hopper was a US Naval Rear Admiral and an American computer scientist who was born on the 9th of December, 1906 in New York city, United States of America. She worked on the first commercial computer known as universal automatic computer (UNIVAC), after the second World War II.
In 1953 at the Remington Rand, Grace Hopper invented the first high-level programming language for UNIVAC 1 by using words and expressions.
Additionally, the high-level programming language known as FLOW-MATIC that she invented in 1953 paved the way for the development of common business-oriented language (COBOL).
Hence, Grace Hopper developed the first compiler and conducted work that led to the development of COBOL.
Well, CEOs are on the top of the food chain. It takes a lot of work and ambition to become one, and once they are one, <span>CEOs accept a huge amount of responsibility - that means having to take blame if things go wrong and </span><span>having more tasks to complete such as having to attend numerous meetings, make decisions. They are also on the board of directors.</span>
Assistants do not have to do as much, they likely won't have that much responsibility or experience, their tasks revolve around ensuring meetings are scheduled and performing other ad-hoc duties.
Answer:
Deep learning is an AI function that mimics the workings of the human brain in processing data for use in detecting objects, recognizing speech, translating languages, and making decisions. Deep learning AI is able to learn without human supervision, drawing from data that is both unstructured and unlabeled.
