Data Science at Home Podcast Por Francesco Gadaleta capa

Data Science at Home

Data Science at Home

De: Francesco Gadaleta
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Technology, AI, machine learning and algorithms. Come join the discussion on Discord! https://discord.gg/4UNKGf3Copyright 2025 datascienceathome.com All rights reserved. Política e Governo
Episódios
  • The Scientists Growing Living Computers in Swiss Labs (Ep. 292)
    Oct 16 2025
    Fred Jordan, Co-CEO of FinalSpark, takes us inside the radical world of biological computing, where real neurons extracted from human tissue are being trained to solve problems that would require 10 megawatts in silicon. We explore the life support systems keeping these "wetware" processors alive, the ethical quandaries of computation performed by living cells, and why the messiness of biology might be exactly what AI needs next. From training cycles and reproducibility challenges to the surprising behaviors these neural networks display, Jordan paints a picture of 2030 where your devices might be powered by something closer to a brain than a chip. Sponsors This episode is proudly sponsored by Amethix Technologies. At the intersection of ethics and engineering, Amethix creates AI systems that don’t just function—they adapt, learn, and serve. With a focus on dual-use innovation, Amethix is shaping a future where intelligent machines extend human capability, not replace it. Discover more at https://amethix.com This episode is brought to you by Intrepid AI. From drones to satellites, Intrepid AI gives engineers and defense innovators the tools to prototype, simulate, and deploy autonomous systems with confidence. Whether it's in the sky, on the ground, or in orbit—if it's intelligent and mobile, Intrepid helps you build it. Learn more at intrepid.ai References Website: finalspark.com Discord account: / discord Newsletter: https://finalspark.com/#newsletter Topics: Biological computing • Neural engineering • Energy-efficient AI • Wetware vs hardware • The future of computation
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    38 minutos
  • When AI Hears Thunder But Misses the Fear (Ep. 291)
    Oct 8 2025

    Sanjoy Chowdhury reveals AI's hidden weakness: while systems can see objects and hear sounds perfectly, they can't reason across senses like humans do. His research at University of Maryland College Park, including the Meerkat model and AVTrustBench, exposes why AI recognizes worried faces and thunder separately but fails to connect them—and what this means for self-driving cars and medical AI.

    Sponsors

    This episode is proudly sponsored by Amethix Technologies. At the intersection of ethics and engineering, Amethix creates AI systems that don’t just function—they adapt, learn, and serve. With a focus on dual-use innovation, Amethix is shaping a future where intelligent machines extend human capability, not replace it. Discover more at https://amethix.com

    This episode is brought to you by Intrepid AI. From drones to satellites, Intrepid AI gives engineers and defense innovators the tools to prototype, simulate, and deploy autonomous systems with confidence. Whether it's in the sky, on the ground, or in orbit—if it's intelligent and mobile, Intrepid helps you build it. Learn more at intrepid.ai

    Resources:

    1. The first audio-visual LLM with fine-grained understanding: Meerkat: Audio-Visual Large Language Model for Grounding in Space and Time (Accepted at ECCV 2024)
    2. Benchmark for evaluating the robustness to adversarial attacks, compositional reasoning: AVTrustBench: Assessing and Enhancing Reliability and Robustness in Audio-Visual LLMs (Accepted at ICCV 2025)
    3. First audio-visual reasoning evaluation benchmark and test time reasoning distillation pipeline AURELIA: Test-time Reasoning Distillation in Audio-Visual LLMs Accepted at ICCV 2025
    4. For a detailed list of Sanjoy's work, please visit his webpage: https://schowdhury671.github.io/
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    47 minutos
  • Why VCs Are Funding $100M Remote Control Toys (Ep. 290)
    Sep 16 2025

    This episode exposes the uncomfortable truth: most defense tech startups are just software engineers cosplaying as military innovators, creating fragmented solutions that Pentagon doesn't need. Not now, at least.

    References

    War On The Rocks: https://warontherocks.com/2025/08/ukraine-isnt-the-model-for-winning-the-innovation-war/

    LinkedIn: https://www.linkedin.com/in/jonasrsinger/

    Spotify: https://tr.ee/Omy_1X8k1U

    Apple Podcast: https://podcasts.apple.com/us/podcast/defence-innovation-podcast/id1797131332

    YouTube: https://youtube.com/@DefenceInnovationpodcast?si=cu2WlnVgL5XKnM0p

    Sponsors

    This episode is proudly sponsored by Amethix Technologies. At the intersection of ethics and engineering, Amethix creates AI systems that don’t just function—they adapt, learn, and serve. With a focus on dual-use innovation, Amethix is shaping a future where intelligent machines extend human capability, not replace it. Discover more at https://amethix.com

    This episode is brought to you by Intrepid AI. From drones to satellites, Intrepid AI gives engineers and defense innovators the tools to prototype, simulate, and deploy autonomous systems with confidence. Whether it's in the sky, on the ground, or in orbit—if it's intelligent and mobile, Intrepid helps you build it. Learn more at intrepid.ai

    ✨ Connect with us!

    📩 Newsletter: https://datascienceathome.substack.com

    🎙 Podcast: Available on Spotify, Apple Podcasts, and more.

    🐦 Twitter: @DataScienceAtHome

    📘 LinkedIn: https://www.linkedin.com/in/fragadaleta/

    Instagram: https://www.instagram.com/datascienceathome/

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    40 minutos
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