Answer:
it might be locked down so hold down the button for 20 sec and do a hard shut down, if it doesn't cut on try holding it down for down for 30 secs. . IF that doesn't work there should be a port next to the power button. you can connect a micro-b cable to the kindle and then connect it to a computer or laptop if you have one. There is a video where it shows you how to take it apart and repair if none of this helps
Explanation: i hope this helps
Answer:
Examples of Fact-finding techniques includes:
-
Prototyping
-
Questionnaires
- Research and sites visit
-
Interviews
Explanation:
It is important to note that a database system is a tool that allows users to define, create, maintain, and control access to a collection of logically related data and description of these data, designed to meet the information needs of an organization.
<u>Prototyping
</u>
<em>Advantage:</em> enables testing and understanding of the system in advance before final implementation of solution, while requiring less time for research.
<em>Disadvantage:</em> Training and Development cost consumes resources.
<u>Research and site visit </u>
<em>Advantage :</em> better time management if the problem has been researched upon before.
<em>Disadvantage:</em> appropriate permission is often needed before using research materials.
<u> Questionnaires
</u>
<em>Advantage: </em>This technique is not expensive, and responses can be calculated and analysed quickly.
<em>Disadvantage:</em> There may be Incomplete answers received from users and body language of user cannot be observed.
<u>Interviews</u>
<em>Advantage:</em> The body language of interviewees is been perceived.
<em>
Disadvantage: </em>Interviewing is time consuming and costly.
3) helps the designer develop a website tailored to the desired audience
Answer:
Hello :)
Explanation:
Yesh i play Ro.blox, maybe u or me could friend each other
Answer:
A neuromorphic computer is a machine comprising many simple processors / memory structures (e.g. neurons and synapses) communicating using simple messages (e.g. spikes). ... Neuromorphic computing systems excel at computing complex dynamics using a small set of computational primitives (neurons, synapses, spikes).
Explanation:
The structure of neuromorphic computers makes them much more efficient at training and running neural networks. They can run AI models at a faster speed than equivalent CPUs and GPUs while consuming less power. This is important since power consumption is already one of AI's essential challenges.
