Voice assistants are designed to provide information, answer questions, and perform tasks through voice commands.

Microsoft Cortana is no longer actively developed and supported by Microsoft.

Voice assistants utilize a combination of NLP, ML, and AI to understand and respond to human speech.

Voice assistants are not typically used for language translation.

Voice assistants employ Machine Learning algorithms to learn from user interactions and improve their performance over time.

Privacy and security are not typically considered key challenges in developing voice assistants.

Multilingual Support refers to the ability of voice assistants to understand and respond to multiple languages.

Headphones are not typically considered a common type of voice assistant device.

Smart Home Integration refers to the ability of voice assistants to control smart home devices.

Reduced privacy is not a potential benefit of using voice assistants.

User Profiling refers to the ability of voice assistants to provide personalized recommendations based on user preferences and behavior.

Dispensing medication is not a common application of voice assistants in the healthcare industry.

Emotional Intelligence refers to the ability of voice assistants to understand and respond to emotions.

Cost is not typically considered a key factor when evaluating the performance of a voice assistant.

Text-to-Speech Synthesis refers to the ability of voice assistants to generate human-like speech from written text.