Revolutionizing Robotics: Embracing Low-Code Solutions (Ep. 251)

Data Science at Home

Player FM - Internet Radio Done Right

اضافه شده در two سال پیش

תוכן מסופק על ידי Francesco Gadaleta. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Francesco Gadaleta או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

Worth Knowing with Bonnie Habyan

1
#11: From OJ Simpson Case to Best Selling Author - Marcia Clark Shares Latest Real Crime Book Release and How Resilience Is Key to Success and Reinvention 34:35

לפני 17 ימים34:35

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רשימות

לייק

אהבתי

34:35

Marcia Clark, best known as the lead prosecutor in the O.J. Simpson trial, has become a trailblazer for women in law and beyond. Her journey from courtroom to bestselling author reflects her resilience and determination to redefine herself amidst intense public scrutiny. On this episode of Worth Knowing, Clark dives into her latest book, *Trial by Ambush*, which examines the 1953 Barbara Graham case—a story that highlights gender bias, media sensationalism, and the notion that all cases are subject to societal, cultural, and political winds. Clark shares how her experiences during the Simpson trial shaped her perspective on societal pressures and the role of women in high-stakes professions. Her reflections on how media, forensic science, and legal practices have evolved over decades offer valuable insights into the intersection of law and culture. This conversation is a compelling exploration of true crime, personal growth, and how Clark’s groundbreaking career continues to inspire a new generation of women to challenge norms and forge their own paths. Marcia Clark is a bestselling author and a criminal lawyer who began her career in law as a criminal defense attorney and went on to become a prosecutor in the L.A. District Attorney's Office in 1981. She spent ten years in the Special Trials Unit, where she handled a number of high-profile cases, including the prosecution of stalker/murderer Robert Bardo, whose conviction for the murder of actress Rebecca Schaeffer resulted in legislation that offered victims better protection from stalkers as well as increased punishment for the offenders. She was lead prosecutor for the O.J. Simpson murder trial. In May of 1997 her book on the Simpson case, "Without a Doubt," was published and reached #1 on the New York Times, Wall St. Journal, Washington Post, Los Angeles Times, and Publishers Weekly bestsellers lists. In February 2016, Clark re-released the book with a new foreword. Resources Sign up for the Worth Knowing LinkedIn Newsletter to stay up to date: https://www.linkedin.com/newsletters/worth-knowing-7236433935503618048/ Follow Bonnie on LinkedIn: https://www.linkedin.com/in/bonnie-habyan/ Go to the Worth Knowing website: https://www.worthknowing.show Check out The Agile Brand Guide website with articles, insights, and Martechipedia, the wiki for marketing technology: https://www.agilebrandguide.com The Agile Brand is produced by Missing Link—a Latina-owned strategy-driven, creatively fueled production co-op. From ideation to creation, they craft human connections through intelligent, engaging and informative content. https://www.missinglink.company…

לפני שנה 19:16

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In this episode of Data Science at Home, we explore the game-changing impact of low-code solutions in robotics development. Discover how these tools bridge the coding gap, simplify integration, and enable trial-and-error development. We'll also uncover challenges with traditional coding methods using ROS. Join us for a concise yet insightful discussion on the future of robotics!

Revolutionizing Robotics: Embracing Low-Code Solutions (Ep. 251)

Data Science at Home

published לפני שנה

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Data Science at Home

1
DSH/Warcoded Kill Chains and Algorithmic Warfare – Autonomy in Targeting and Engagement (Ep. 282) 26:29

לפני 10 ימים26:29

26:29

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 legal dimensions of delegating lethal decisions to machines As the lines blur between algorithm and operator, we explore who—or what—is pulling the trigger. Sponsors 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…

Data Science at Home

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DSH/Warcoded: Eyes and Ears of the Machine – AI Reconnaissance and Surveillance (Ep. 281) 19:20

לפני 16 ימים19:20

19:20

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 inform at the edge of modern conflict. Sponsors 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 #AI #defensetech #ISR #LLM #Warcoded #DataScienceAtHome #OSINT #SIGINT #dronewarfare…

Data Science at Home

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AI Agents with Atomic Agents 🚀 with Kenny Vaneetvelde (Ep. 280) 55:46

לפני 6 weeks55:46

55:46

🎙️ 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. 💡 From real-world applications to the tech stack behind the framework, Kenny takes us on a deep dive into this lightweight, powerful tool for creating consistent and brand-aligned AI. 🔥 Whether you’re a seasoned developer or just AI-curious, this conversation is packed with insights you don’t want to miss. 📌 Timestamps: 0:00 - Intro 2:30 - Kenny’s journey in AI 5:00 - What are Atomic Agents? 10:45 - Why atomicity matters in AI 18:20 - The tech behind Atomic Agents: Instructor, Pydantic & more 25:00 - Real-world use cases and future vision 40:45 - Advice for AI developers and businesses 📲 Check out Atomic Agents on GitHub: https://github.com/BrainBlend-AI/atomic-agents https://brainblendai.com/ 🔗 Follow Kenny on LinkedIn: https://www.linkedin.com/in/kennyvaneetvelde/ 💬 Got questions? Drop them in the comments! Don’t forget to like, subscribe, and share this episode with your fellow AI enthusiasts. #AI #AtomicAgents #DataScience #Podcast…

Data Science at Home

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Run massive models on crappy machines (Ep. 279) 47:10

לפני 7 weeks47:10

47:10

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. By democratizing AI, we can empower individuals and small teams to experiment, create, and solve problems without needing deep pockets or enterprise-grade resources. AI for everyone, on everything. Let’s make it happen. ✨ 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!…

Data Science at Home

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WeightWatcher: The AI Detective for LLMs (DeepSeek & OpenAI included) (Ep. 278) 51:47

לפני 8 weeks51:47

51:47

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 whether AI is headed for a breakthrough—or a bottleneck. If you’re into cutting-edge AI, you won’t want to miss this one! ✨ 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!…

Data Science at Home

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Tech's Dumbest Mistake: Why Firing Programmers for AI Will Destroy Everything (Ep. 277) 17:33

לפני 8 weeks17:33

17:33

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... ✨ 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!…

Data Science at Home

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Scaling Smart: AI, Data, and Building Future-Ready Enterprises with Josh Miramant (Ep. 276) 48:55

לפני 22 weeks48:55

48:55

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/…

Data Science at Home

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Autonomous Weapons and AI Warfare (Ep. 275) 17:43

לפני 23 weeks17:43

17:43

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! 🎧 LISTEN / SUBSCRIBE TO THE PODCAST Apple Podcasts Podbean Podcasts Player FM Chapters 00:00 - Intro 01:54 - Autonomous Vehicles 03:11 - Surveillance And Reconnaissance 04:15 - Predictive Analysis 05:57 - Decision Support System 08:24 - Real World Examples 10:42 - Ethical And Strategic Considerations 12:25 - International Regulation 13:21 - Conclusion 14:50 - Outro ✨ Connect with us! 🎥Youtube: https://www.youtube.com/@DataScienceatHome 📩 Newsletter: https://datascienceathome.substack.com 🎙 Podcast: Available on Spotify, Apple Podcasts, and more. 🐦 Twitter: @DataScienceAtHome 📘 LinkedIn: Francesco Gad 📷 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! #DataScienceAtHome #ArtificialIntelligence #AI #MilitaryTechnology #AutonomousDrones #SurveillanceTech #AIArmsRace #DataScience #DefenseInnovation #EthicsInAI #GlobalConflict #PredictiveAnalysis #AIInWarfare #TechnologyAndEthics #AIRevolution #MachineLearning…

Data Science at Home

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8 Proven Strategies to Scale Your AI Systems Like OpenAI! 🚀 (Ep. 274) 17:23

לפני 23 weeks17:23

17:23

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 techniques will transform your infrastructure. Hit play to learn how the pros do it and apply it to your own projects! LISTEN / SUBSCRIBE TO THE PODCAST YouTube: https://www.youtube.com/@DataScienceatHome Apple Podcasts: https://podcasts.apple.com/us/podcast/data-science-at-home/id1069871378 Podbean Podcasts: https://datascienceathome.podbean.com/ Player Fm: https://player.fm/series/data-science-at-home-2600992 Chapters 00:00 Intro 00:34 Scalability Strategies 01:08 Stateless Services 02:47 Horizontal Scaling 04:51 Load Balancing 06:14 Auto Scaling 07:41 Caching 09:27 Database Replication 11:07 Database Sharding 12:54 Async Processing 14:50 Infographics RESOURCES & LINKS Data Science at home: https://datascienceathome.com Amethix Technologies: https://amethix.com CONNECT WITH US! Instagram: https://www.instagram.com/datascienceathome/ Twitter: @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…

Data Science at Home

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Humans vs. Bots: Are You Talking to a Machine Right Now? (Ep. 273) 49:33

לפני 26 weeks49:33

49:33

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

Data Science at Home

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AI bubble, Sam Altman’s Manifesto and other fairy tales for billionaires (Ep. 272) 18:56

לפני 26 weeks18:56

18:56

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…

Data Science at Home

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AI vs. The Planet: The Energy Crisis Behind the Chatbot Boom (Ep. 271) 22:28

לפני 27 weeks22:28

22:28

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 uncovers the staggering figures behind AI's energy demands and explores practical solutions for the future. From efficiency-focused algorithms and specialized hardware to decentralized learning, this episode examines how we can balance AI’s advancements with our planet's limits. Discover what steps we can take to harness the power of AI responsibly! Check our new YouTube channel at https://www.youtube.com/@DataScienceatHome Chapters 00:00 - Intro 01:25 - Findings on Summary Statics 05:15 - Energy Required To Querry On GPT 07:20 - Energy Efficiency In BlockChain 10:41 - Efficicy Focused Algorithm 14:02 - Hardware Optimization 17:31 - Decentralized Learning 18:38 - Edge Computing with Local Inference 19:46 - Distributed Architectures 21:46 - Outro #AIandEnergy #AIEnergyConsumption #SustainableAI #AIandEnvironment #DataScience #EfficientAI #DecentralizedLearning #GreenTech #EnergyEfficiency #MachineLearning #FutureOfAI #EcoFriendlyAI #FrancescoFrag #DataScienceAtHome #ResponsibleAI #EnvironmentalImpact…

Data Science at Home

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Love, Loss, and Algorithms: The Dangerous Realism of AI (Ep. 270) 24:25

לפני 28 weeks24:25

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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 risks, ethical responsibilities, and potential regulations surrounding AI chatbots, especially as they become increasingly lifelike. 🎙️ Topics Covered: AI & Emotional Attachment: How hyper-realistic AI chatbots can foster intense emotional bonds with users, especially vulnerable groups like adolescents. Mental Health Risks: The potential for AI to unintentionally contribute to mental health issues, and the challenges of diagnosing such impacts. Ethical & Legal Accountability: How companies like Character AI are being held accountable and the ethical questions raised by emotionally persuasive AI. 🚨 Analogies Explored: From VR to CGI and deepfakes, we discuss how hyper-realism in AI parallels other immersive technologies and why its emotional impact can be particularly disorienting and even harmful. 🛠️ Possible Mitigations: We cover potential solutions like age verification, content monitoring, transparency in AI design, and ethical audits that could mitigate some of the risks involved with hyper-realistic AI interactions. 👀 Key Takeaways: As AI becomes more realistic, it brings both immense potential and serious responsibility. Join us as we dive into the ethical landscape of AI—analyzing how we can ensure this technology enriches human lives without crossing lines that could harm us emotionally and psychologically. Stay curious, stay critical, and make sure to subscribe for more no-nonsense tech talk! Chapters 00:00 - Intro 02:21 - Emotions In Artificial Intelligence 04:00 - Unregulated Influence and Misleading Interaction 06:32 - Overwhelming Realism In AI 10:54 - Virtual Reality 13:25 - Hyper-Realistic CGI Movies 15:38 - Deep Fake Technology 18:11 - Regulations To Mitigate AI Risks 22:50 - Conclusion #AI#ArtificialIntelligence#MentalHealth#AIEthics#podcast#AIRegulation#EmotionalAI#HyperRealisticAI#TechTalk#AIChatbots#Deepfakes#VirtualReality#TechEthics#DataScience#AIDiscussion #StayCuriousStayCritical…

Data Science at Home

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VC Advice Exposed: When Investors Don’t Know What They Want (Ep. 269) 17:57

לפני 30 weeks17:57

17:57

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 Ahead 09:51 - Raise Big or Stay Lean? 11:32 - Sell Your Vision in Minutes? 14:20 - The Real VC Secret: Focus on Your Team and Vision 17:03 - Outro…

Data Science at Home

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AI Says It Can Compress Better Than FLAC?! Hold My Entropy 🍿 (Ep. 268) 21:05

לפני 31 weeks21:05

21:05

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 compression. We explore: ⚙️ How LLMs leverage probabilistic patterns for compression 📉 Why compression efficiency doesn’t equal general intelligence 🚀 The practical (and ridiculous) challenges of using AI for compression 💡 Can AI actually BREAK Shannon’s limit—or is it just an illusion? If you love AI, algorithms, or just enjoy some good old myth-busting, this one’s for you. Don't forget to hit subscribe for more no-nonsense takes on AI, and join the conversation on Discord! Let’s decode the truth together. Join the discussion on the new Discord channel of the podcast https://discord.gg/4UNKGf3 Don't forget to subscribe to our new YouTube channel https://www.youtube.com/@DataScienceatHome References Have you met Shannon? https://datascienceathome.com/have-you-met-shannon-conversation-with-jimmy-soni-and-rob-goodman-about-one-of-the-greatest-minds-in-history/…

Data Science at Home

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What Big Tech Isn’t Telling You About AI (Ep. 267) 19:15

לפני 32 weeks19:15

19:15

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 https://www.youtube.com/@DataScienceatHome and Subscribe! Cool links https://mitpress.mit.edu/9780262551069/taming-silicon-valley/ http://garymarcus.com/index.html…

Data Science at Home

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Money, Cryptocurrencies, and AI: Exploring the Future of Finance with Chris Skinner [RB] (Ep. 266) 41:21

לפני 33 weeks41:21

41:21

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 reflect—how much has changed? Are Chris Skinner's predictions still holding up, or has the financial landscape evolved in unexpected ways? Tune in and find out!…

Data Science at Home

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Kaggle Kommando’s Data Disco: Laughing our Way Through AI Trends (Ep. 265) [RB] 42:46

לפני 34 weeks42:46

42:46

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! Sponsors Intrepid AI is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. 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! 😄)…

Data Science at Home

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AI and Video Game Development: Navigating the Future Frontier (Ep. 264) [RB] 47:56

לפני 34 weeks47:56

47:56

In this episode we delve into the dynamic realm of game development and the transformative role of artificial intelligence (AI). Join Frag, Jim and Mike as they explore the current landscape of game development processes, from initial creative ideation to the integration of AI-driven solutions. With Mike's expertise as a software executive and avid game developer, we uncover the potential of AI to revolutionize game design, streamline development cycles, and enhance player experiences. Discover insights into AI's applications in asset creation, code assistance, and even gameplay itself, as we discuss real-world implementations and cutting-edge research. From the innovative GameGPT framework to the challenges of balancing automation with human creativity, this episode offers valuable perspectives and practical advice for developers looking to harness the power of AI in their game projects. Don't miss out on this insightful exploration at the intersection of technology and entertainment! Sponsors Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. References https://mikeyoung44.itch.io/spacefreighter - Itch.io link to play the game https://discord.gg/yaXgYZ5Ymn - Discord server for the game https://aimodels.substack.com/ - Mike’s newsletter (links to website too)…

Data Science at Home

1
LLMs: Totally Not Making Stuff Up (they promise) (Ep. 263) 28:06

לפני 34 weeks28:06

28:06

In this episode, we dive into the wild world of Large Language Models (LLMs) and their knack for… making things up. Can they really generalize without throwing in some fictional facts? Or is hallucination just part of their charm? Let’s separate the genius from the guesswork in this insightful breakdown of AI’s creativity problem. TL;DR; LLM Generalisation without hallucinations. Is that possible? References https://github.com/lamini-ai/Lamini-Memory-Tuning/blob/main/research-paper.pdf https://www.lamini.ai/blog/lamini-memory-tuning…

Data Science at Home

1
AI: The Bubble That Might Pop—What’s Next? (Ep. 262) 26:04

לפני 38 weeks26:04

26:04

The hype around Generative AI is real, but is the bubble about to burst? Join me as we dissect the recent downturn in AI investments and what it means for the tech giants like OpenAI and Nvidia. Could this be the end of the AI gold rush, or just a bump in the road? References http://garymarcus.com/index.html https://garymarcus.substack.com/p/why-the-collapse-of-the-generative?r=8tdk6&utm_source=substack&utm_medium=email https://www.theinformation.com/articles/openai-makes-a-60-million-hardware-startup-bet?utm_source=substack&utm_medium=email…

Data Science at Home

1
Data Guardians: How Enterprises Can Master Privacy with MetaRouter (Ep. 261) 32:27

לפני 41 weeks32:27

32:27

In this insightful episode, we dive deep into the pressing issue of data privacy, where 86% of U.S. consumers express growing concerns and 40% don't trust companies to handle their data ethically. Join us as we chat with the Vice President of Engineering at MetaRouter, a cutting-edge platform enabling enterprises to regain control over their customer data. We explore how MetaRouter empowers businesses to manage data in a 1st-party context, ensuring ethical, compliant handling while navigating the complexities of privacy regulations. Sponsors Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months References https://www.metarouter.io/post/mastering-data-governance-why-governance-at-the-point-of-collection-is-a-must-have https://hubs.ly/Q02HwJly0 https://www.metarouter.io/post/why-privacy-sandbox-is-a-good-paradigm-shift-for-consumers…

Data Science at Home

1
Low-Code Magic: Can It Transform Analytics? (Ep. 260) 33:45

לפני 44 weeks33:45

33:45

Join us as David Marom, Head of Panoply Business, explores the benefits of all-in-one data platforms. Learn how tech stack consolidation boosts efficiency, improves data accuracy, and cuts costs. David shares insights on overcoming common challenges, enhancing data governance, and success stories from organizations thriving with Panoply. Sponsors Arctic Wolf 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 Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months References Connect and analyze ALL of your data https://panoply.io/ https://blog.panoply.io/raw-data-to-dashboards-in-just-10-steps https://blog.panoply.io/understanding-etl-extract-transform-and-load-data-to-boost-your-business-intelligence Blog: The Transformative Power of an All-in-One Data Platform Whitepaper: Eradicating Platform Inefficiencies…

Data Science at Home

1
Do you really know how GPUs work? (Ep. 259) 36:17

לפני 48 weeks36:17

36:17

Join us in this exciting episode of the Data Science at Home podcast. It's all about GPUs. We'll take you on a journey through the inner workings of these powerful processors, explaining how they handle complex computations and drive everything from gaming graphics to scientific simulations. Whether you're a budding programmer or a tech enthusiast, understanding GPUs is key to unlocking new levels of performance and efficiency in your projects. Tune in and get ready to turbocharge your tech knowledge! Sponsors Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months.…

Data Science at Home

1
Harnessing AI for Cybersecurity: Expert Tips from QFunction (Ep. 258) 34:33

לפני 50 weeks34:33

34:33

In this episode, we sit down with Ryan Smith, Founder of QFunction LLC , to explore how AI and machine learning are revolutionizing cybersecurity. With over 8 years of experience, including work at NASA's Jet Propulsion Laboratory, Ryan shares insights on the future of threat detection and prevention, the challenges businesses face in maintaining effective cybersecurity, and the ethical considerations of AI implementation. Learn about cost-effective strategies for small businesses, the importance of collaboration in combating cyber threats, and how QFunction tailors its AI solutions to meet diverse industry needs. Sponsors Arctic Wolf 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 Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. QFunction does cybersecurity differently. By relying on scientific breakthroughs in AI and machine learning, QFunction works within your existing security stack to detect anomalies and threats within your data References QFunction Blog Threat Hunting Firewall Logs Threat Hunting Linux Logs QFunction GitHub…

Data Science at Home

1
Rust in the Cosmos Part 4: What happens in space? (Ep. 257) 29:24

לפני 51 weeks29:24

29:24

In this last episode of the series "Rust in the Cosmos" we speak about what happens in space, what projects are currently active and what happened in the past that we can learn from? What about Rust and space applications? As always, let's find out ;) Sponsors Arctic Wolf 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 Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance. Communities Intrepid AI, AeroRust, Bytenook Intrepid AI Discord https://discord.gg/cSSzche6Ct Intrepid AI website: https://intrepid.ai AeroRust Discord invite: https://discord.com/invite/6jJyx5nEUq AeroRust website: AeroRust.org References Workshop https://github.com/AeroRust/nanosat-workshop Embassy - https://github.com/embassy-rs/embassy Software based fault redundancy, (Errata: it's not from NASA) : https://ieeexplore.ieee.org/document/1402092 Whitehouse paper for memory safe languages https://www.whitehouse.gov/wp-content/uploads/2024/02/Final-ONCD-Technical-Report.pdf…

Data Science at Home

1
Rust in the Cosmos Part 3: Embedded programming for space (Ep. 256) 44:36

לפני 1 year44:36

44:36

In this episode of "Rust in the Cosmos" we delve into the challenges of building embedded applications for space. Did you know that once you ship your app to space... you can't get it back? :P What role is Rust playing here? Let's find out ;) Sponsors Arctic Wolf 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 Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance. Communities AeroRust, Intrepid, Bytenook AeroRust Discord invite: https://discord.com/invite/6jJyx5nEUq AeroRust website: AeroRust.org Intrepid AI Discord https://discord.gg/cSSzche6Ct Intrepid AI website: https://intrepid.ai References Workshop https://github.com/AeroRust/nanosat-workshop Embassy - https://github.com/embassy-rs/embassy Software based fault redundancy, (Errata: it's not from NASA) : https://ieeexplore.ieee.org/document/1402092 Whitehouse paper for memory safe languages https://www.whitehouse.gov/wp-content/uploads/2024/02/Final-ONCD-Technical-Report.pdf…

Data Science at Home

1
Rust in the Cosmos Part 2: testing software in space (Ep. 255) 32:50

לפני 1 year32:50

32:50

In this episode of "Rust in the Cosmos" we delve into the challenge of testing software for... ehm ... space How can Rust help? Let's find out ;) Sponsors Arctic Wolf 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 Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance. Communities AeroRust, Intrepid, Bytenook AeroRust Discord invite: https://discord.com/invite/6jJyx5nEUq AeroRust website: AeroRust.org Intrepid AI Discord https://discord.gg/cSSzche6Ct Intrepid AI website: https://intrepid.ai References Open-source GitHub workflows/actions - https://docs.github.com/en/actions Gitlab CI - https://docs.gitlab.com/ee/ci/ Alternatives Circle ci - https://circleci.com/ Travis http://travis-ci.com Dagger.io - https://dagger.io Actions https://github.com/dtolnay/rust-toolchain https://github.com/taiki-e/install-action https://github.com/marketplace/actions/install-cargo-binstall Additional tools: https://github.com/nextest-rs/nextest https://github.com/cargo-bins/cargo-binstall Jon Gjengset - Towards Impeccable Rust Lechev.space: lechev.space…

Data Science at Home

1
Rust in the Cosmos Part 1: Decoding Communication (Ep. 254) 26:16

לפני 1 year26:16

26:16

In this inaugural episode of "Rust in the Cosmos," we delve into the intricacies of communication in space and some of the challenges in space application development. Sponsors Intrepid AI ( https://intrepid.ai ) is an AI assisted all-in-one platform for robotics teams. Build robotics applications in minutes, not months. Amethix works to create and maximize the impact of the world’s leading corporations and startups, so they can create a better future for everyone they serve. We provide solutions in AI/ML, Fintech, Defense, Robotics and Predictive maintenance.…

Data Science at Home

1
AI and Video Game Development: Navigating the Future Frontier (Ep. 253) 47:56

לפני 1 year47:56

47:56

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