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IntelexVision Podcasts
Here, we dive into the fascinating world of artificial intelligence, unraveling its complexities in a way that’s clear and accessible. Whether you’re an AI enthusiast or a curious newcomer, our episodes will guide you through the intricate meanders of AI, exploring how it’s developed, how it works, and its impact on our world. Tune in to demystify AI and discover its potential through engaging discussions and expert insights.
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In our IntelexVision Podcasts, you’ll join a passionate community of technology enthusiasts, including our vibrant hosts Ursula and Brian. Though you’ll primarily hear from these two, rest assured, a large and engaged audience tunes in, sharing their enthusiasm and curiosity for all things AI.
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We are spread across the globe, yet our connection is singular: a shared fascination with AI. This shared interest brings the wonders of AI technology right to your doorstep, explained in a way that is both engaging and accessible, no matter where you are in the world.
This project is crafted with fun and fuelled by enjoyment, yet it carries an educational punch. At the end of the day, our competence in AI shines through, ensuring that while we’re having a great time, you’re also getting solid, expert insights into the world of artificial intelligence.
Episodes:
Episode 1: Unusual Behaviour explained
This is the most important iSentry algorithm. Detection of Unusual Behaviour is driven by an unsupervised learning, unbiased AI platform. AI learning is based on pixel level: the system ‘learns’ how objects normally behaves in a scene; after establishing a norm, the system creates an alert on any deviations. this represents anomaly detection.
Listen to our episode:
Episode 2: Inference barrier in Video Analytics
One significant challenge in AI is the “inference barrier” – a term that encapsulates the difficulties AI systems face when interpreting based on complex data inputs and analysing new examples. The inference barrier refers to the limitations associated with an AI model’s ability to process and infer information from data inputs effectively.
Listen to our episode below and read the material here:
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