AI News
DECEMBER 19, 2024
In a world where artificial intelligence is becoming omnipresent, it’s fascinating to think about the prospect of AI-powered robots and digital avatars that can experience emotions, similar to humans. And as this system evolves further, perhaps its emotional spectrum might expand to even feel a tinge of sadness or regret.
Analytics Vidhya
APRIL 25, 2023
Since then, AI has developed into a fascinating journey with significant advancements in various fields. Emotion AI, also known as affective computing, seeks to improve natural […] The post Can AI Have Emotions? However, the question of whether machines can truly possess intelligence remains controversial.
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Unite.AI
NOVEMBER 8, 2024
Inspired by a discovery in WiFi sensing, Alex and his team of developers and former CERN physicists introduced AI algorithms for emotional analysis, leading to Wayvee Analytics's founding in May 2023. Our AI algorithms then process this data and convert it into emotional insights, recognizing if a person is angry, happy, neutral, etc.
MARCH 4, 2025
In late 2013, the Spike Jonze film Her imagined a future where people would form emotional connections with AI voice assistants. Nearly 12 years later, that fictional premise has veered closer to reality with the release of a new conversational voice model from AI startup Sesame that has left many users both fascinated and unnerved. "I
AI News
JUNE 20, 2023
SK Telecom (SKT) is taking significant steps to solidify its position in the global AI ecosystem. The company recently held a meeting at its Silicon Valley headquarters with CEOs from four new AI partners – CMES, MakinaRocks, Scatter Lab, and FriendliAI – to discuss business cooperation and forge a path towards leadership in the AI industry.
JUNE 6, 2023
Researchers developed a computational model capable of predicting human emotions, encapsulating social intelligence attributes typically associated with the human 'theory of mind'
IBM Journey to AI blog
OCTOBER 12, 2023
Early iterations of the AI applications we interact with most today were built on traditional machine learning models. Unlike basic machine learning models, deep learning models allow AI applications to learn how to perform new tasks that need human intelligence, engage in new behaviors and make decisions without human intervention.
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