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Data Science at Home

Data Science at Home

Auteur(s): Francesco Gadaleta
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Cutting through AI bullsh*t.
Come join the discussion on Discord!
https://discord.gg/4UNKGf3

Copyright 2026 datascienceathome.com All rights reserved. Politique
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  • From Tokens to Vectors: The Efficiency Hack That Could Save AI (Ep. 294)

    From Tokens to Vectors: The Efficiency Hack That Could Save AI (Ep. 294)
    Nov 11 2025

    LLMs generate text painfully slow, one low-info token at a time. Researchers just figured out how to compress 4 tokens into smart vectors & cut costs by 44%—with full code & proofs! Meanwhile OpenAI drops product ads, not papers. We explore CALM & why open science matters. 🔥📊

    Sponsors

    This episode is brought to you by Statistical Horizons At Statistical Horizons, you can stay ahead with expert-led livestream seminars that make data analytics and AI methods practical and accessible. Join thousands of researchers and professionals who’ve advanced their careers with Statistical Horizons. Get $200 off any seminar with code DATA25 at https://statisticalhorizons.com
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    47 min
  • Why AI Researchers Are Suddenly Obsessed With Whirlpools (Ep. 293)

    Why AI Researchers Are Suddenly Obsessed With Whirlpools (Ep. 293)
    Oct 30 2025

    VortexNet uses actual whirlpools to build neural networks. Seriously. By borrowing equations from fluid dynamics, this new architecture might solve deep learning's toughest problems—from vanishing gradients to long-range dependencies. Today we explain how vortex shedding, the Strouhal number, and turbulent flows might change everything in AI.

    Sponsors

    This episode is brought to you by Statistical Horizons At Statistical Horizons, you can stay ahead with expert-led livestream seminars that make data analytics and AI methods practical and accessible. Join thousands of researchers and professionals who’ve advanced their careers with Statistical Horizons. Get $200 off any seminar with code DATA25 at https://statisticalhorizons.com

    References

    https://samim.io/p/2025-01-18-vortextnet/
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    33 min
  • The Scientists Growing Living Computers in Swiss Labs (Ep. 292)

    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 min
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