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Embedded AI - Intelligence at the Deep Edge
“Intelligence at the Deep Edge” is a podcast exploring the fascinating intersection of embedded systems and artificial intelligence. Dive into the world of cutting-edge technology as we discuss how AI is revolutionizing edge devices, enabling smarter sensors, efficient machine learning models, and real-time decision-making at the edge.
Podcasting since 2024 • 23 episodes
Embedded AI - Intelligence at the Deep Edge
Latest Episodes
AI Bias and Fairness: A Contentious Landscape
In this episode, we examine the critical issue of bias in artificial intelligence, exploring how biased AI systems can amplify discrimination and perpetuate societal inequalities. We discuss the sources of AI bias, including prejudiced t...
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Season 3
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Episode 3
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27:36
AI Agents / Agentic AI: The next generation of AI?
In this podcast episode, we investigate AI agents—autonomous systems that sense their environments, make independent decisions, and carry out tasks. We discuss their various types, architectures, and capabilities, highlighting their limitations...
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Season 3
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Episode 2
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19:55
LLMs - Fancy Autocorrect or can they actually Reason?
In this episode, we discuss the limitations of Large Language Models (LLMs) in areas like deductive reasoning, analogy-making, and ethical judgment. While today’s AI models excel at recognizing statistical patterns in vast datasets, they lack g...
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Season 3
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Episode 1
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14:58
AI Errors vs. Human Mistakes: Rethinking Security
In this episode, we explore the unique nature of AI mistakes and why they differ fundamentally from human errors. Unlike people, AI systems make random, inconsistent, and unpredictable errors, often without awareness of their own ...
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Season 2
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Episode 10
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11:49
Apple’s AI Gamble in China: The Qwen Partnership
In this episode, we explore Apple’s strategic partnership with Alibaba, integrating the Qwen AI model into iPhones sold in China. Faced with regulatory barriers and declining sales, Apple turns to Alibaba’s powerful large langu...
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Season 2
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Episode 9
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19:33
