Answer:
Option (C) is the correct answer of this question.
Explanation:
Smart card is the security administrator wishes to implement two-factor authentication to improve security.Normally this data is affiliated with either meaning, information, or both, and will be stored and transmitted within the chip of the card.A smart card, usually a Chip Card type.
- It is a flexible card that holds an integral computer chip that preserves and sends a signal data, either database or semiconductor form.
- Used for controlling access to a resource.
- Data authentication, encryption, cloud storage, and software processing can be established by smart cards.
Other options are incorrect.
The correct answer of the given question above would be option D. A wet-carpet cleaner that carries it's own water supply has water pressure created by a MOTOR-DRIVE PUMP. T<span>his product is easy to use, strong, and highly durable. Hope this answers your question. Have a great day!</span>
Answer:
Conditioned response
Explanation:
In a famous experiment a dog drool at a sound that is made just before meals. This is considered a(n) conditioned response.
The dog has been conditioned to respond to the constant sound before his meal is served by drooling(salivating ) with the expectation of eating almost immediately after the sound had been made .
Answer:
Option a: Trojan
Explanation:
A Trojan or Trojan horse is one of the computer malware that exist in computing world. Trojan often appears as a legitimate software to deceive user to activate it by social engineering. Once the Trojan is activated in the user computer, a hacker can remote control the infected computer for malicious purposes such as removing files, sending files, displaying message or rebooting computer.
However, Trojan cannot be replicated in the infected computer.
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.