Data Science at Home

By Francesco GadaletaNews Technology Tech News

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Typical duration
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per episode

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Data Science at Home episodes

November 25, 2025 Your AI Strategy is Burning Money: Here's How to Fix It (Ep.295)
Most companies don't have an AI problem. They have a decision-making problem. Matt Lea, founder of Schematical and CloudWarGames, has spent nearly 20 years helping tech leaders ship smarter.
In this conversation, he breaks down when AI actually makes sense, where AWS costs spiral out of control, and why your "cool demo" keeps dying before launch.
If you're tired of AI hype and ready for straight answers, hit play.

Join the conversation! Our Discord community is full of ML engineers, researchers, and AI enthusiasts discussing papers, sharing projects, and helping each other level up. Whether you're debugging your first neural net or training your tenth transformer, there's a place for you.

Newsletter https://datascienceathome.substack.com/subscribe
Website https://datascienceathome.com

References
http://schematical.com
https://cloudwargames.com
https://schematical.com/posts/we-need-ai_20241028

32 min
November 11, 2025 From Tokens to Vectors: The Efficiency Hack That Could Save AI (Ep. 294)
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

47 min
October 30, 2025 Why AI Researchers Are Suddenly Obsessed With Whirlpools (Ep. 293)
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/

34 min
October 16, 2025 The Scientists Growing Living Computers in Swiss Labs (Ep. 292)
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
38 min
October 08, 2025When AI Hears Thunder But Misses the Fear (Ep. 291)
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:
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)
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)
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
For a detailed list of Sanjoy's work, please visit his webpage: https://schowdhury671.github.io/
47 min
September 16, 2025 Why VCs Are Funding $100M Remote Control Toys (Ep. 290)
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/
40 min
August 29, 2025 How Hacker Culture Died (Ep. 289)
A nostalgic dive into the rise and fall of true hacker culture - from MIT's curious tinkerers to today's hustle-obsessed "founders." Plus, why IRC was peak internet and what we lost when convenience killed community. For anyone who misses when coding was about elegance, not exits.RetryClaude can make mistakes. Please double-check responses.

Interesting link
https://www.twitch.tv/tsoding/about

Sponsors
DSH 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 amethix.com

DSH 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/
Facebook: https://www.facebook.com/datascienceAH
LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast
Discord Channel: https://discord.gg/4UNKGf3

NEW TO DATA SCIENCE AT HOME?
Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com

SEND US MAIL!
We love hearing from you! Send us mail at:
[email protected]
Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!
45 min
August 05, 2025 Robots Suck (But It’s Not Their Fault) (Ep. 288)
We were promised robot butlers and got Roombas that cry under the couch. In this brutally honest (and slightly hilarious) episode, Francesco dives into why the robot revolution fizzled, why your dishwasher still needs you, and how robotics became more YouTube circus than household helper. Spoiler: It's not the tech – it's us.

Sponsors
DSH 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 amethix.com

DSH 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/
Facebook: https://www.facebook.com/datascienceAH
LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast
Discord Channel: https://discord.gg/4UNKGf3

NEW TO DATA SCIENCE AT HOME?
Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com

SEND US MAIL!
We love hearing from you! Send us mail at:
[email protected]
Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!
17 min
July 26, 2025 Your Favorite AI Startup is Probably Bullshit (Ep. 287)
The brutal truth about why Silicon Valley is blowing billions on glorified autocomplete while pretending it's the next iPhone.
We're diving deep into the AI investment circus where VCs who can't code are funding companies that barely understand their own technology. From blockchain déjà vu to the "ChatGPT wrapper" economy—this episode will make you question every AI valuation you've ever seen.
Fair warning: We're naming names and calling out the hype. Don't listen if you work at a "revolutionary AI startup" that's just OpenAI's API with a pretty interface.

#AIBubble #VentureCapital #TechReality #StartupBullshit
13 min
July 07, 2025Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything (Ep. 286) [RB]
From the viral article "Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything" on my newsletter at https://defragzone.substack.com/p/techs-dumbest-mistake-why-firing
here are my thoughts about AI replacing programmers...

🎙️ Sponsors
AGNTCY — The open source collective building the Internet of Agents
🌐 https://www.agntcy.org

✨ 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/
Facebook: https://www.facebook.com/datascienceAH
LinkedIn: https://www.linkedin.com/company/data-science-at-home-podcast
Discord Channel: https://discord.gg/4UNKGf3

NEW TO DATA SCIENCE AT HOME?
Welcome! Data Science at Home explores the latest in AI, data science, and machine learning. Whether you’re a data professional, tech enthusiast, or just curious about the field, our podcast delivers insights, interviews, and discussions. Learn more at https://datascienceathome.com

SEND US MAIL!
We love hearing from you! Send us mail at:
[email protected]
Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!
19 min