machine learning

AI and videogames (Ep. 305)

What is the state of AI and videogames? Who is considering it? What are the big fails so far? This and much more is covered in this 1st episode of AI and videogames.
 
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This episode is brought to you by Outshift, Cisco's incubation engine. Check outshift.com
 
 
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Programmable Money: The Cage They'll Call Convenience (Ep. 300)

Money has always been yours to spend freely. That's about to change. This episode breaks down programmable money, the technology that turns your wallet into a permission system.
 
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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
 
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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
 
 
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📩 Newsletter: https://datascienceathome.substack.com
🎙 Podcast: Available on Spotify, Apple Podcasts, and more.
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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
 
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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
 
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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
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AGNTCY — The open source collective building the Internet of Agents🌐 https://www.agntcy.org

Scaling Smart: AI, Data, and Building Future-Ready Enterprises with Josh Miramant (Ep. 276)

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. From generative AI to large language models, Josh explores cutting-edge trends shaping financial services, real estate, and consumer goods.
Tune in for a masterclass in leveraging data for impact and innovation!
 
Links
https://blueorange.digital/
https://blueorange.digital/blog/a-data-intelligence-platform-what-is-it/
https://blueorange.digital/blog/ai-makes-bi-tools-accessible-to-anyone/
 
 

Autonomous Weapons and AI Warfare (Ep. 275)

Here’s the updated text with links to the websites included:
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!
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Chapters00:00 - Intro01:54 - Autonomous Vehicles03:11 - Surveillance And Reconnaissance04:15 - Predictive Analysis05:57 - Decision Support System08:24 - Real World Examples10:42 - Ethical And Strategic Considerations12:25 - International Regulation13:21 - Conclusion14:50 - Outro
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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.
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#DataScienceAtHome #ArtificialIntelligence #AI #MilitaryTechnology #AutonomousDrones #SurveillanceTech #AIArmsRace #DataScience #DefenseInnovation #EthicsInAI #GlobalConflict #PredictiveAnalysis #AIInWarfare #TechnologyAndEthics #AIRevolution #MachineLearning
 

Humans vs. Bots: Are You Talking to a Machine Right Now? (Ep. 273)

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 media to news. How reliable are current detection tools like DetectGPT? What are the ethical and technical challenges ahead as AI continues to advance? And is the balance between innovation and regulation tipping in the right direction? 
 
Tune in for insights on the future of AI text detection and the broader implications for media, academia, and policy.
 
Chapters 
 
00:00 - Intro 
00:23 - Guests: Souradip Chakraborty and Amrit Singh Bedi 
01:25 - Distinguish Text Generation By AI 
04:33 - Research on Safety and Alignment of Generative Model 
06:01 - Tools to Detect Generated AI Text  
11:28 - Water Marking
18:27 - Challenges in Detecting Large Documents Generated by AI 
23:34 - Number of Tokens 
26:22 - Adversarial Attack
29:01 - True Positive and False Positive of Detectors 
31:01 - Limit of Technologies 
41:01 - Future of AI Detection Techniques 
46:04 - Closing Thought
 
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AI bubble, Sam Altman’s Manifesto and other fairy tales for billionaires (Ep. 272)

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 Altman’s grand speech for the Intelligence Age. I’ll give you the real scoop on what’s realistic, what’s nonsense, and why some tech billionaires just can’t resist overselling. Think AI’s all-knowing, all-powerful future is just around the corner? Let’s see if we can spot the fairy dust.
 
Strap in, grab some popcorn, and get ready to see past the hype!
 
Chapters
 
00:00 - Intro
00:18 - CEO of Baidu Statement on AI Bubble
03:47 - News On Sam Altman Open AI
06:43 - Online Manifesto "The Intelleigent Age"
13:14 - Deep Learning
16:26 - AI gets Better With Scale
17:45 - Conclusion On Manifesto
 
Still have popcorns? Get some laughs at https://ia.samaltman.com/ 
 
#AIRealTalk #NoHypeZone #InvestorBaitAlert

Kaggle Kommando’s Data Disco: Laughing our Way Through AI Trends (Ep. 265) [RB]

In this episode, join me and the Kaggle Grand Master, Konrad Banachewicz, for a hilarious journey into the zany world of data science trends. From algorithm acrobatics to AI, creativity, Hollywood movies, and music, we just can't get enough. It's the typical episode with a dose of nerdy comedy you didn't know you needed. Buckle up, it's a data disco, and we're breaking down the binary!
 
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Learn what the new year holds for ransomware as a service, Active Directory, artificial intelligence and more when you download the 2024 Arctic Wolf Labs Predictions Report today at arcticwolf.com/datascience
 
🔗 Links Mentioned in the Episode:
Generative AI for time series: TimeGPT Documentation
Lag-llama: GitHub (Note: The benchmark results on this one are pretty horrible)
Open source LLM: Olmo Blog Post
Quantization for LLM: Hugging Face Guide
And finally, don't miss Konrad's Substack for more nerdy goodness! (If you're there already, be there again! 😄)