I believe the answer is B. Optimization because it means to make work more efficient but I might be wrong. Checking definitions, this one seems more logical.
Answer:
<em>communications</em><em>,</em><em>risk</em><em>,</em><em>systems</em><em>,</em><em>test</em><em>ins</em><em>,</em><em>procedures</em><em>,</em><em>interviews</em><em>,</em><em>documents</em><em>.</em>
Explanation:
The auditor considers many factors in determining the nature, timing, and extent of auditing procedures to be performed in an audit of an entity's financial statements. One of the factors is the existence of an internal audit function. fn 1 This section provides the auditor with guidance on considering the work of internal auditors and on using internal auditors to provide direct assistance to the auditor in an audit performed in accordance with generally accepted auditing standards.Note: When performing an integrated audit of financial statements and internal control over financial reporting, refer to paragraphs 16-19 of PCAOB Auditing Standard No. 5, An Audit of Internal Control Over Financial Reporting That Is Integrated with An Audit of Financial Statements, for discussion on using the work of others to alter the nature, timing, and extent of the work that otherwise would have been performed to test controls.
Roles of the Auditor and the Internal Auditors
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<em>I</em><em> </em><em>HOPE</em><em> </em><em>THIS</em><em> </em><em>HELPS</em><em> </em><em>ALOT</em><em>!</em><em> </em><em>:</em><em>3</em></h2>
False because if you edit the ownership of file it will give permissions only with the permissions you can edit file,rename,or delete file.
Answer:
b they have high sensitivity to surrounding sound
Explanation:
tell me it's correct or not
if it's correct so I hope it is helpful for you
but no so I am sorry
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.