Deep Learning – Accentedge

The Future of Relationship Between AI Assistants And Human Beings

Post author:Syed Alam
Post published:February 7, 2020
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Post category:Artificial Intelligence Deep Learning Machine Learning NLP

An “AI Assistant” is an application program that receives natural language voice commands from a user and responds with the best results. Also known as a Digital Assistant or Virtual Assistant, the technology that powers an AI Assistant requires massive amounts of data, which utilize Artificial Intelligence (AI) and Machine Learning (ML) as well as Natural Language Processing (NLP) and speech recognition platforms. Amazon “Alexa,” Apple “Siri,” Google “Now” and Microsoft “Cortana” are the most well-known AI Assistants. Their aim is to provide ease-of-use and perform personal tasks such as answering questions, setting alarms and calendar events, ordering goods and services, playing music, operating lights, adjusting heat and air conditioning, or managing home security systems. As the user interacts with an AI Assistant program the embedded sophisticated algorithms learn from data inputs and become better at predicting the user needs or understanding voice commands. For many people with disabilities AI Assistant programs…

Facial Expression Recognition (FER)

Post author:Syed Alam
Post published:February 7, 2020
Post comments:0 Comments
Post category:Deep Learning Machine Learning

Facial Expression Recognition (FER) has become an emerging area of interest due to advancements in the fields of Computer Vision and Artificial Intelligence. This technology not only helps machines to recognize the human face, but also can recognize a person’s expressions – for example, to determine if someone is happy and relaxed or angry and upset. Facial expressions can be difficult to recognize because these expressions vary from face to face. The human brain – which has the ability to recognize facial expressions – is considered the most advanced computer, and therefore efforts have been made to artificially replicate brain function. Now that many artificially-intelligent models have been developed, researchers are taking a new interest in facial expression recognition capabilities. Many of the models that have been developed are able to accurately extract the features of the human face, but there are still areas where these models provide inaccurate readings. The challenge…