Data Science at Home

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/
 

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

When 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/

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/

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:
hello@datascienceathome.com
Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!

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:
hello@datascienceathome.com
Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!

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
 

Tech'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:
hello@datascienceathome.com
Don’t forget to like, subscribe, and hit the 🔔 for updates on the latest in AI and data science!

Brains in the Machine: The Rise of Neuromorphic Computing (Ep. 285)

In this episode of Data Science at Home, we explore the fascinating world of neuromorphic computing — a brain-inspired approach to computation that could reshape the future of AI and robotics. The episode breaks down how neuromorphic systems differ from conventional AI architectures like transformers and LLMs, diving into spiking neural networks (SNNs), their benefits in energy efficiency and real-time processing, and their limitations in training and scalability. Real-world applications are highlighted, including low-power drones, hearing aids, and event-based cameras. Francesco closes with a vision of hybrid systems where neuromorphic chips and LLMs coexist, blending biological inspiration with modern AI.
📚 References
SpikingJelly: https://github.com/fangwei123456/spikingjelly
Norse: https://github.com/norse/norse
IBM TrueNorth: https://research.ibm.com/blog/brain-inspired-chip
Intel Loihi 2: https://www.intel.com/content/www/us/en/research/neuromorphic-computing.html
SpiNNaker: https://apt.cs.manchester.ac.uk/projects/SpiNNaker/
BioRobotics Institute: https://www.santannapisa.it/en/institute/biorobotics
🎙️ Sponsors
MillionaireMatch — The elite platform for high-achieving singles🌐 https://www.millionairematch.com
AGNTCY — The open source collective building the Internet of Agents🌐 https://www.agntcy.org

DSH/Warcoded - AI in the Invisible Battlespace (Ep. 284)

This episode explores the invisible battlespace of cyber and electronic warfare, where AI takes center stage. From autonomous hacking bots to smart jamming and adversarial attacks on machine learning models, we uncover how modern conflicts are increasingly fought with code, not bullets — and why the future of warfare may be decided by algorithms.
 
Sponsors
Building multi-agent software is hard — agent-to-agent and agent-to-tool communication is still the wild west. That’s where the AGNTCY, comes in. It’s an open source collective building the Internet of Agents — a global collaboration layer where AI agents can discover each other, communicate, and work across frameworks. For developers, this means cleaner protocols, standard discovery tools, and modular components to scale multi-agent workflows. Build with others who care about robust multi-agent software. Visit AGNTCY.org
 
Warcoded 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
 
Warcoded 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
 
 
#Warcoded #DataScienceAtHome #AI #AutonomousWeapons #MilTech #DefenseTech #KillChain #OODAloop #LAWs #EdgeAI #Podcast