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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.
Discover more on Embedded AI (https://medium.com/embedded-ai) — our companion publication where we detail the ideas, projects, and breakthroughs featured on the podcast.
Help support the podcast - https://www.buzzsprout.com/2429696/support
Podcasting since 2024 • 79 episodes
Embedded AI - Intelligence at the Deep Edge
Latest Episodes
Biological Memory for Edge Devices
Your brain runs two separate memory systems and a nightly maintenance cycle to learn continuously without forgetting. The hippocampus captures new experiences fast. Sleep replays them into the neocortex for long-term storage, prioritized by sur...
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Season 5
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Episode 19
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23:52
The Best Model Doesn't Win: Why AI is Repeating the Browser Wars, Not the Cloud Wars
Three years into the foundation model race, the scoreboard depends entirely on which metric you read. ChatGPT still dominates consumer traffic. Google Gemini is growing faster than anything in the market by bundling AI into every surface it con...
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Season 5
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Episode 18
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21:55
LLM Coding Assistants: Scaling Limits and the AGI Thesis
In this episode, we take a hard look at one of the most debated questions in artificial intelligence: do LLM-based coding assistants face structural scaling limits that prevent them from becoming a pathway to Artificial General Intelligence?
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Season 5
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Episode 17
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18:28
Why AI makes Experts Worse
Recent research points to a “leveling effect” in knowledge work. Generative AI dramatically improves the performance of novices by acting as a cognitive scaffold, raising productivity and output quality. Yet for elite professionals, the same to...
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Season 5
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Episode 16
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16:58
Most Neurons Do Nothing and That's the Point!
This episode explores why biological neural networks are inherently sparse, with only 1 to 5 percent of cortical neurons active at any moment, and why this silence is a feature rather than a limitation. We trace the evolutionary pressures that ...
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Season 5
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Episode 15
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17:43
