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AI in Daily Life: Applications and Threats

Analytics Vidhya

Introduction We are witnessing a revolution in the world due to artificial intelligence. This branch of computer science focuses on creating machines that mimic human intelligence in speech recognition, problem-solving, and pattern recognition tasks.

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Model Behind Google Translate: Seq2Seq in Machine Learning

Analytics Vidhya

Introduction Natural language processing, deep learning, speech recognition, and pattern identification are just a few artificial intelligence technologies that have consistently advanced in recent years. This has helped chatbots grow significantly.

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Amr Nour-Eldin, Vice President of Technology at LXT – Interview Series

Unite.AI

Amr Nour-Eldin, is the Vice President of Technology at LXT. LXT is an emerging leader in AI training data to power intelligent technology for global organizations. I found myself always trying to figure out how nature works and how to apply that understanding to create technology. Amr is a Ph.D. Amr is a Ph.D.

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Unveiling Sensory AI: A Pathway to Achieving Artificial General Intelligence (AGI)

Unite.AI

In the ever-evolving landscape of artificial intelligence, two significant areas stand at the forefront of innovation: Sensory AI and the pursuit of Artificial General Intelligence (AGI). Applications include image recognition, object detection, and scene reconstruction. The implications for AGI are profound.

Robotics 210
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AI News Weekly - Issue #365: AI : the Biggest Tech Investing Theme for 2024 - Dec 28th 2023

AI Weekly

But in 2024, the technology is likely to reach untold heights and to affect nearly all areas of the investing world, according to technology experts. Connect with 5,000+ attendees including industry leaders, heads of state, entrepreneurs and researchers to explore the next wave of transformative AI technologies.

Robotics 203
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9 ways to transform contact center results with AI-powered speech analytic

AssemblyAI

Contact center speech analytics often leverage artificial intelligence to transform raw, unstructured voice data into actionable insights. AI-powered speech analytics help businesses easily analyze conversations with customers, so teams can gather real-time customer behavior data at an unprecedented scale.

AI 147
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KAIST Researchers Propose VSP-LLM: A Novel Artificial Intelligence Framework to Maximize the Context Modeling Ability by Bringing the Overwhelming Power of LLMs

Marktechpost

Speech perception and interpretation rely heavily on nonverbal signs such as lip movements, which are visual indicators fundamental to human communication. This realization has sparked the development of numerous visual-based speech-processing methods. This paradigm creatively combines text-based knowledge of LLMs with visual speaking.