Data Science at Home

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.

Building multi-agent software is hard — agent-to-...

Swarming the Battlefield explores how artificial intelligence is revolutionizing combat through coordinated drone swarms. We dive into the algorithms that enable autonomous collaboration, from decentralized decision-making to real-time target allocation, and examine real-world implementations shaping modern battle strategies. This episode uncovers how these intelligent agents turn the chaos of the battlefield into a synch...

In this gripping follow-up, we dive into how AI is transforming kinetic operations—from identifying a threat to executing a strike.

🔍 Highlights from this episode:

• How AI compresses the OODA loop (Observe, Orient, Decide, Act)

• The spectrum of autonomy: human-on-the-loop vs. human-out-of-the-loop

• Real-world systems like loitering munitions (Switchblade, Harpy) and Selective Ground Response AI (SGR-AI)

• The ethical and le...

Welcome to DSH/Warcoded

We explore how AI is transforming ISR (Intelligence, Surveillance, Reconnaissance)—from satellite imagery to drone feeds. In this episode:

🔍 Computer vision for target ID 📡 Predictive surveillance & pattern-of-life modeling 🧠 LLMs for SIGINT & OSINT intelligence briefings 🌍 Real-world examples: Ukraine, Gaza & more

Listen now and see how machines are learning to see, predict, and infor...

🎙️ In this episode of Data Science at Home, we sit down with Kenny Vaneetvelde, the mastermind behind Atomic Agents, a groundbreaking framework redefining AI development.

🔍 Discover how atomicity simplifies complex AI systems, why modularity matters more than ever, and how Atomic Agents is eliminating hidden assumptions and redundant complexity in AI workflows.

AI shouldn’t be limited to those with access to expensive hardware. This episode explores how to break down barriers by running massive AI models on "crappy machines"—affordable, low-spec devices. Clever techniques like quantization, pruning, model distillation might not be enough.

With edge offloading, we can make state-of-the-art AI accessible to hobbyists, researchers, and innovators everywhere.

Is DeepSeek the next big thing in AI? Can OpenAI keep up? And how do we truly understand these massive LLMs?

Enter WeightWatcher—the AI detective tool that peeks inside neural networks without needing their data.

In this episode, we chat with its creator, Dr. Charles Martin, to uncover what makes LLMs tick, the hidden patterns inside models like GPT-4 and DeepSeek, and whe...

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...

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

🎙 Podcast: Av...

In this episode, we dive into the transformative world of AI, data analytics, and cloud infrastructure with Josh Miramant, CEO of Blue Orange Digital. As a seasoned entrepreneur with over $25 million raised across ventures and two successful exits, Josh shares invaluable insights on scaling data-driven businesses, integrating machine learning frameworks, and navigating the rapidly evolving landscape of cloud data architecture. ...

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AI is revolutionizing the military with autonomous drones, surveillance tech, and decision-making systems. But could these innovations spark the next global conflict? In this episode of Data Science at Home, we expose the cutting-edge tech reshaping defense—and the chilling ethical questions that follow. Don’t miss this deep dive into the AI arms race!

🎧 LISTEN / SUBSCR...

In this episode of Data Science at Home, we’re diving deep into the powerful strategies that top AI companies, like OpenAI, use to scale their systems to handle millions of requests every minute! From stateless services and caching to the secrets of async processing, discover 8 essential strategies to make your AI and machine learning systems unstoppable. Whether you're working with traditional ML models or large LLMs, these techni...

In this episode of Data Science at Home, host Francesco Gadaleta dives deep into the evolving world of AI-generated content detection with experts Souradip Chakraborty, Ph.D. grad student at the University of Maryland, and Amrit Singh Bedi, CS faculty at the University of Central Florida. 

Together, they explore the growing importance of distinguishing human-written from AI-generated text, discussing real-world examples from social...

Welcome to Data Science at Home, where we don’t just drink the AI Kool-Aid. Today, we’re dissecting Sam Altman’s “AI manifesto”—a magical journey where, apparently, AI will fix everything from climate change to your grandma's back pain. Superintelligence is “just a few thousand days away,” right? Sure, Sam, and my cat’s about to become a calculus tutor.

In this episode, I’ll break down the bold (and often bizarre) claims in Altma...

In this episode of Data Science at Home, we dive into the hidden costs of AI’s rapid growth — specifically, its massive energy consumption. With tools like ChatGPT reaching 200 million weekly active users, the environmental impact of AI is becoming impossible to ignore. Each query, every training session, and every breakthrough come with a price in kilowatt-hours, raising questions about AI’s sustainability.

Join us, as we uncove...

Subscribe to our new channel https://www.youtube.com/@DataScienceatHome

In this episode of Data Science at Home, we confront a tragic story highlighting the ethical and emotional complexities of AI technology. A U.S. teenager recently took his own life after developing a deep emotional attachment to an AI chatbot emulating a character from Game of Thrones. This devastating event has sparked urgent discussions on the mental health...

Ever feel like VC advice is all over the place? That’s because it is. In this episode, I expose the madness behind the money and how to navigate their confusing advice!

Watch the video at https://youtu.be/IBrPFyRMG1Q

Subscribe to our new Youtube channel https://www.youtube.com/@DataScienceatHome 

00:00 - Introduction

00:16 - The Wild World of VC Advice

02:01 - Grow Fast vs. Grow Slow

05:00 - Listen to Customers or Innovate Ah...

Can AI really out-compress PNG and FLAC? 🤔 Or is it just another overhyped tech myth? In this episode of Data Science at Home, Frag dives deep into the wild claims that Large Language Models (LLMs) like Chinchilla 70B are beating traditional lossless compression algorithms. 🧠💥

But before you toss out your FLAC collection, let's break down Shannon's Source Coding Theorem and why entropy sets the ultimate limit on lossless compres...

Are AI giants really building trustworthy systems? A groundbreaking transparency report by Stanford, MIT, and Princeton says no. In this episode, we expose the shocking lack of transparency in AI development and how it impacts bias, safety, and trust in the technology. We’ll break down Gary Marcus’s demands for more openness and what consumers should know about the AI products shaping their lives.

Check our new YouTube channel ht...

We're revisiting one of our most popular episodes from last year, where renowned financial expert Chris Skinner explores the future of money. In this fascinating discussion, Skinner dives deep into cryptocurrencies, digital currencies, AI, and even the metaverse. He touches on government regulations, the role of tech in finance, and what these innovations mean for humanity.

Now, one year later, we encourage you to listen again and ...