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This Day in AI Podcast

Michael Sharkey, Chris Sharkey

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Join Michael and Chris Sharkey, two proudly average tech enthusiasts, as they stumble through the world of artificial intelligence with all the grace of a robot learning to dance. This (sometimes weekly*) podcast delivers an hour-long conversation about their thoroughly middle-of-the-road adventures with AI. No PhDs. No Silicon Valley insights. Just two guys with enough technical knowledge to be dangerous, sharing their unexceptional yet entertaining experiences with AI tools and technology. ...
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The Tech+ PrepCast is a complete audio study companion for the CompTIA Tech+ (FC0-U71) certification exam, designed to guide learners through every domain and objective. Each episode delivers clear explanations, practical examples, and exam-focused insights to help you build confidence and technical readiness. Whether you are new to IT or preparing for your first certification, this PrepCast provides structured support from start to finish.
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Platypod is the official podcast of the Committee for the Anthropology of Science, Technology, and Computing. We talk about anthropology, STS, and all things tech. Tune in for conversations with researchers and experts on how technology is shaping our world. (Jingle by chimerical. CC BY-NC 4.0)
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KBKAST

KBI.Media

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Unlike every other security podcast, we don’t get stuck down in the technical weeds. Our remit is to speak with experts around the globe at the strategic level – how security technology can improve the experience and risk optimisation for every organisation. The Voice of Cyber® - In Partnership with Vanta
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Computer Talk Radio

Benjamin Rockwell

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Computer Talk Radio is a nationally syndicated broadcast radio program on computers and technology, and how they impact your life. Benjamin Rockwell, the show host and a computer nerd, leads the team as the expert guide through the technical jungle of jargon, and the valleys of viruses, to reach the pinnacle of power over your computer problems. Benjamin is joined by multiple team members who thrive on bringing you to the next level of knowledge. Keith M. Sedor has been a Certified Apple Mac ...
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This podcast is for technical and scientific founders in Data, Energy, Defense, Agriculture, Aerospace, and Deep Tech who want to turn new ideas into reality. The AI-innovation cycle doesn't use the old rules to scale, so how will really big ideas move from lab to launch to full diffusion? From bio-inspired drones mimicking insect movement, to quantum computing breakthroughs and climate tech moonshots; we help scientific founders, buyers, investors and regulators collaborate to source scalab ...
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Latent.Space

Latent.Space

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The AI Engineer newsletter + Top 10 US Tech podcast. Exploring AI UX, Agents, Devtools, Infra, Open Source Models. See https://latent.space/about for highlights from Chris Lattner, Andrej Karpathy, George Hotz, Simon Willison, Soumith Chintala et al!
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Struggling to keep pace with the ever-changing world of technology? For experienced tech professionals, making sense of this complexity to find real strategic advantages is key. This series offers a clear path, featuring insightful, casual conversations with leading global experts, innovators, and key voices from Red Hat, all cutting through the hype. Drawing from Red Hat's deep expertise in open source and enterprise innovation, each discussion delves into new and emerging technologies-- fr ...
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The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that pro ...
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Epicenter brings you in-depth conversations about the technical, economic and social implications of cryptocurrencies and blockchain technologies. Every week, we interview business leaders, engineers academics and entrepreneurs, and bring you a diverse spectrum of opinions and points of view. Epicenter is hosted by Sebastien Couture, Brian Fabian Crain, Friederike Ernst, Meher Roy and Felix Lutsch. Since 2014, our episodes have been downloaded over 8 million times.
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The Introduction to Artificial Intelligence (PrepCast) provides a comprehensive, audio-first journey through the foundations, applications, and future directions of AI. Listeners will explore how machines learn, reason, and act, with episodes covering technical concepts, industry use cases, ethical issues, and global impacts. Designed for students, professionals, and career changers alike, this course delivers clear, structured insights that make AI accessible and relevant across domains. Pr ...
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Founder Reality with George Pu. Real talk from a technical founder building AI-powered businesses in the trenches. No highlight reel, no startup theater – just honest insights from someone who codes, ships, and scales. Every week, George breaks down the messy, unfiltered decisions behind building a bootstrap software company. From saying yes to projects you don't know how to build, to navigating AI hype vs. reality, to the mental models that actually matter for technical founders. Whether yo ...
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Data in Biotech is a fortnightly podcast exploring how companies leverage data to drive innovation in life sciences. Every two weeks, Ross Katz, Principal and Data Science Lead at CorrDyn, sits down with an expert from the world of biotechnology to understand how they use data science to solve technical challenges, streamline operations, and further innovation in their business. You can learn more about CorrDyn - an enterprise data specialist that enables excellent companies to make smarter ...
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Hot or Hype

Sakura Sky

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Welcome to Hot or Hype, the podcast where hosts Olivia Storelli and Andrew Stevens break down the latest trends in cloud computing, data engineering, AI, and cybersecurity - and decide whether they're game-changing innovations or just industry buzz. In each episode, we dive into topics like AI-driven predictive analytics, cloud-native architectures, zero trust security, data mesh, and more, giving you real-world insights from practitioners who know what works and what doesn't. No fluff. No h ...
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Technically Queer

Alex Cox, Quinn Pollock, Bryan Guffey, Cass Cunningham

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Welcome to Technically Queer, a show exploring tech beyond binaries. Join hosts Alex, Bryan, Cass, Quinn, and more as they explore how technology and queerness intersect, impact, and inform each other and the rest of the world.
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Science Of The Times

Tim Coulson And Syma Khalid

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Do you want to learn a little more about topical science findings? Do many of the science stories you hear leave you with unanswered questions? Syma and Tim will discuss in non-technical language and in a fun and engaging style, recently published science findings. Guests will be authors of these papers and will include some of the world’s most exciting scientists who are pushing the frontiers of human knowledge. Covering, among other things, artificial intelligence, the search for alien lif ...
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Today, software is the power that moves society. To stay in control over their intellectual property and remain competitive on the market software publishers and intelligent device manufacturers need to integrate top-notch protections against counterfeiting, reverse engineering, and tampering and implement an orchestration of license models that fully respond to the customer’s needs on a global scale. CodeMeter by Wibu-Systems is a comprehensive and award-winning suite of hardware-, software ...
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Voxstar AI Automation

Voxstar - Gene Da Rocha

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Welcome to Automating Everything from Voxstar, The AI Automation Company, the ultimate podcast for tech enthusiasts, developers, and business leaders who are eager to revolutionize the way they work by integrating cutting-edge automation tools. Whether you're just starting your automation journey or are a seasoned expert, this podcast dives deep into the technologies, trends, and strategies that are transforming industries today. Each episode explores real-world applications, from simple tas ...
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Becoming CTO Secrets

Philipp Deutscher

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Becoming CTO Secrets is the ultimate podcast for aspiring CTOs, seasoned tech leaders, and entrepreneurs who want to level up their leadership and technical expertise. Hosted by Philipp Deutscher, a veteran CTO and consultant with over 15 years of experience leading global tech teams, this podcast uncovers the hidden strategies, insights, and hard-earned lessons behind becoming a successful Chief Technology Officer. In each episode, Philipp dives deep into the essentials of CTO leadership: f ...
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The Inspiring Computing podcast is where computing meets the real world. This podcast aims to trigger your curiosity by talking to proficient and advanced users of MATLAB, Python, Julia who use these tools to deepen their understanding of the world, simulate, explore trade-offs and gain insights that help companies add more value. In addition to proficient users we will also talk with the product marketing, toolbox authors, package developers and library maintainers to see what drives the de ...
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Tech Tomorrow is your front-row seat to the conversations redefining the future. Each episode explores one big question about data, AI, or emerging tech, giving leaders clear, focused answers they can trust. If you're navigating complex innovation, from AI-augmented delivery to sustainability, this show helps you cut through the noise, connect cross-disciplinary trends, and lead with confidence in a rapidly evolving landscape. Previously known as Data Today, this podcast has examined how out ...
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Nerding Out With Viktor is a podcast about tech, startups, and everything in between. Hosted by Viktor, a lifelong nerd and seasoned entrepreneur, the show features real conversations with builders, hackers, and technologists. Viktor got his start in Silicon Valley with YippieMove, an early email migration tool, and later created Blotter, a top-ranked productivity app for macOS. He now runs Screenly — the first developer-friendly digital signage platform — and built its open-source sibling, ...
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I’m Mike — I run this channel. I started Brain Snacks to explore big questions and complex topics, and explain them in plain English. As an analyst and naturally curious person, I’m used to digging into complicated information, spotting patterns, and breaking things down so they actually make sense. This podcast doesn’t go super deep — it stays high-level and accessible. No jargon, no fluff. Just clear explanations, with a bit of history, some technical insight, and a look at the economic, s ...
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Jemmy (CSO)

Jemmy Sharapova

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Hi, now this is jemmy, although I am a technical engineer based in Los Angeles, California. because really am an extremely experienced picture, computing, and user interface follower. I'm interested in writing a blog and sketching as well.
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Engineers consistently exclude non-technical people from understanding enough about technology to better utilise it. This is wrong! Engineers should be equipping non-technical people with enough of an understanding to make the right business decisions, without trying to drag them all the way down into the detail.
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Future of Coding

Future of Coding

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A romp through the field of computer programming, grapling with our history and wondering what should come next. A mix of deeply technical talk, philosophy, art, dark lore, and good takes. Hosted by Ivan Reese, Jimmy Miller, and Lu Wilson.
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Ever wondered how technology start-ups, well, start-up? For most founder entrepreneurs, it is the biggest experiment they'll ever run. Like most experiments, the result isn't known beforehand and it often doesn't work first time. On a bigger scale, how do big tech companies turn innovative science into profit? Mark Davison interviews founder scientists, executives, investors, communicators, and others in the technology start-up and corporate science ecosystems. Learn how great ideas turned i ...
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The Hello World Podcast

Shawn Wildermuth

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Not just another technical podcast. Shawn Wildermuth brings you his "Hello World" podcast where we learn about how your favorite developers tell their story of how they got started writing software! Hosted on Acast. See acast.com/privacy for more information.
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Talk Python To Me

Michael Kennedy

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Talk Python to Me is a weekly podcast hosted by developer and entrepreneur Michael Kennedy. We dive deep into the popular packages and software developers, data scientists, and incredible hobbyists doing amazing things with Python. If you're new to Python, you'll quickly learn the ins and outs of the community by hearing from the leaders. And if you've been Pythoning for years, you'll learn about your favorite packages and the hot new ones coming out of open source.
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Kopec Explains Software

David Kopec, Rebecca Kopec

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We make software-related technical topics intelligible. We aim to help you develop an intuitive understanding of each subject, instead of emphasizing formal definitions. Join us as we learn about the wide world of software.
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On The Metal

Oxide Computer Company

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As a part of starting Oxide Computer Company, Bryan Cantrill and Jess Frazelle decided to also create the podcast that they always wanted. Joined frequently by their boss, Steve Tuck, Bryan and Jess interview incredible guests retelling stories of adventure at the hardware/software interface. It’s unapologetically technical and as Jess says, “the nerdiest podcast on the face of the planet” -- but if you're their kind of nerd, you'll find yourself hanging on every word!
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The Proposal Manager Podcast contains a wealth of information about all things related to the public sector bidding process. From the C-Suite to a GovCon newbie, this show has something for everyone. Each episode will discuss topics related to government business development, capture, and proposal management.
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BlockchainGandalf

Keir Finlow-Bates

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This channel features regular updates devoted to explaining issues surrounding blockchain, from the technical through to economics and philosophy. I also look at tech startup issues, innovation, and the patenting process. You can get a copy of my book at http://mybook.to/moveover or read more about it at http://www.thinklair.com/
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Technically Human is a podcast about ethics and technology where I ask what it means to be human in the age of tech. Each week, I interview industry leaders, thinkers, writers, and technologists and I ask them about how they understand the relationship between humans and the technologies we create. We discuss how we can build a better vision for technology, one that represents the best of our human values.
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Building Web3 Podcast brings you insightful interviews with visionary founders, technical experts, and thought leaders. It showcases the latest in cutting-edge Web3 projects and their vast opportunities. Whether you're a developer, investor, or enthusiast, our conversations will guide you to success in the decentralized future. *Building Web3 Podcast's content is strictly educational and is not investment advice or a solicitation to buy or sell assets or make financial decisions.*
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In this episode, we sit down with Prashant Vadlamudi, Senior Vice President of Product Security at Salesforce, as he explores how organisations can build secure foundations for agentic AI. Prashant offers a holistic view of agentic AI, highlighting its shift from simple generative models to autonomous agents capable of reasoning, sequencing complex…
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The final episode closes the series by reflecting on AI’s future and the shared responsibility of shaping it. We begin by revisiting the transformative power of AI, from its applications in healthcare and education to its potential for climate solutions and scientific discovery. We also emphasize risks of misuse in surveillance, manipulation, and m…
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AI is not just changing industries; it is also shaping careers. This episode explores the landscape of professional roles, from data scientists and machine learning engineers to AI ethics specialists and policy advisors. We cover the technical skills needed, including programming, statistics, linear algebra, and deep learning frameworks, as well as…
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AI is not just a technical field but a geopolitical one, with nations competing for leadership. This episode begins by examining the United States, with its strong base of academic research, private-sector innovation, and military investment. We then explore China’s national AI strategy, state-driven funding, and rapid adoption across industries. T…
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While AI offers opportunity, it also introduces risks ranging from immediate harms to existential threats. This episode begins with short-term issues: biased decision-making, privacy violations, job disruption, and the spread of misinformation. We then move to longer-term concerns such as structural inequality, concentration of power, and misuse of…
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Quantum computing represents a radical shift in computation that could accelerate AI research. This episode introduces the basics of qubits, superposition, and entanglement, explaining how quantum systems differ from classical binary logic. We cover quantum gates, circuits, and algorithms such as Shor’s and Grover’s, showing their relevance to sear…
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AI is being applied to one of humanity’s most pressing challenges: climate change. This episode explores how AI analyzes satellite imagery, sensor data, and weather models to predict extreme events such as hurricanes, floods, and wildfires. We examine energy grid optimization, where AI balances renewable and conventional sources, and smart building…
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Creativity was once thought uniquely human, but AI is increasingly active in music, art, and writing. This episode begins with early experiments in rule-based composition and visual generation, then moves to modern systems powered by deep learning and generative adversarial networks. We explore how AI composes melodies, paints digital canvases, and…
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Hybrid intelligence recognizes that humans and machines each bring unique strengths to problem-solving. This episode explores the concept in detail, beginning with human skills such as creativity, empathy, and contextual judgment, and contrasting them with machine abilities like speed, scalability, and data processing. We discuss human-in-the-loop …
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Artificial General Intelligence, or AGI, represents one of the most ambitious goals in AI research: the creation of systems that can perform a wide variety of tasks with human-level flexibility. This episode begins by distinguishing narrow AI, which excels in specialized tasks, from AGI, which seeks broad adaptability. We explore early visions of A…
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Beyond technical and practical questions, AI raises profound philosophical debates. This episode begins with Alan Turing’s foundational question — can machines think? — and examines the Turing Test as an early benchmark. We contrast it with John Searle’s Chinese Room argument, which challenges whether machines truly “understand” or merely manipulat…
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AI is transforming national security strategies worldwide. This episode begins with intelligence analysis, where AI processes signals, satellite images, and vast text datasets at speeds impossible for humans. We then look at cybersecurity, where AI is used for intrusion detection, malware analysis, and automated response. Military applications incl…
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As AI spreads across every sector, law is racing to keep pace. This episode begins with an overview of national and regional approaches, including the European Union’s AI Act, the United States’ sector-based regulations, and international guidelines developed by organizations such as OECD and UNESCO. We explore how laws address data protection, alg…
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AI is reshaping the workplace as profoundly as earlier industrial revolutions. This episode begins by exploring the jobs most vulnerable to automation, including roles in manufacturing, logistics, and clerical work, where routine tasks can be replicated by machines. It also highlights categories of work less likely to be displaced, such as roles re…
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AI systems are powerful, but when their outputs cannot be understood, they risk losing trust. This episode explores transparency and explainability as core qualities for responsible AI. We begin by distinguishing between transparency — openness about how systems are designed and trained — and explainability, which focuses on how specific decisions …
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AI systems thrive on data, but the more data they use, the greater the risk to privacy. This episode begins with an overview of the types of data AI consumes: personal identifiers, biometric data, location information, and behavioral profiles. We explore risks such as mass surveillance, re-identification of anonymized data, and unauthorized sharing…
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No issue highlights AI’s societal impact more sharply than bias and fairness. This episode begins by defining bias in AI systems and tracing its sources to data, algorithms, and human choices. We explore data bias, such as underrepresentation of certain groups, and algorithmic bias, where optimization reinforces inequities. Examples include facial …
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AI is no longer confined to labs or corporations; it lives in homes, cars, and devices people use every day. This episode introduces virtual assistants such as Siri, Alexa, and Google Assistant, which rely on natural language processing to respond to voice commands. We explore smart home hubs that connect appliances, lighting, and climate systems, …
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Entertainment and media have embraced AI in ways that are visible to millions of people every day. This episode explores recommendation engines that power streaming platforms like Netflix, YouTube, and Spotify, curating what viewers and listeners see next. We also examine AI’s role in generating personalized playlists, building news feeds, and even…
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Government and defense agencies are among the most active adopters of AI, using it to improve efficiency, security, and decision-making. This episode begins with early uses in census processing and logistics, then moves into predictive analytics for budgeting, resource allocation, and social services. We’ll examine policing applications, including …
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Education is a sector where AI promises to personalize learning at scale. This episode looks at intelligent tutoring systems, adaptive learning platforms, and automated grading tools that free teachers to focus on higher-value tasks. Natural language processing supports writing feedback, while speech recognition powers language-learning tools. Pred…
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AI has become central to how goods are made, moved, and delivered. This episode begins with predictive maintenance, where algorithms detect failures before they occur, saving costs and preventing downtime. Quality control through computer vision, process optimization, and demand forecasting illustrate AI’s reach inside the factory. In logistics, wa…
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In retail and marketing, AI’s role is visible every time you see a product recommendation or dynamic pricing change. This episode examines how customer segmentation, recommendation engines, and personalization platforms shape consumer experiences. We discuss demand forecasting, inventory management, and visual search as tools for operational effici…
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Finance has always been data-driven, making it a natural fit for AI. In this episode, we cover early uses like algorithmic trading and credit scoring before moving into today’s advanced applications. Fraud detection systems flag suspicious transactions, while risk models forecast credit and market exposure. Personalized financial services, robo-adv…
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Few fields show AI’s potential more vividly than healthcare. This episode begins with diagnostic support systems, from early expert tools like MYCIN to today’s advanced medical imaging models that detect tumors and abnormalities in X-rays and MRIs. We explore predictive analytics for patient outcomes, genomics and precision medicine for tailoring t…
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AI is not confined to the cloud — it increasingly lives in the devices around us. This episode introduces edge AI, where models run locally on Internet of Things (IoT) devices. Benefits include lower latency, improved privacy, and functionality even without network connections. We’ll explain how embedded machine learning models are compressed and o…
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Not every organization can build AI systems from scratch, and cloud AI services fill this gap by offering ready-made tools. This episode explains how major providers such as Amazon Web Services, Microsoft Azure, and Google Cloud deliver APIs for natural language processing, vision, and speech. Pre-trained models allow companies to adopt AI quickly,…
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For AI to succeed, people must be able to use it effectively. This episode examines the design of interfaces that allow humans to interact with AI in ways that are intuitive, transparent, and supportive of trust. We start with dashboards, conversational agents, and voice interfaces, then explore adaptive systems that personalize recommendations and…
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AI systems are only as good as the data and assumptions that shape them, and many fail because of recurring pitfalls. This episode outlines the most common problems, starting with poor data quality, unbalanced datasets, and labeling errors. We’ll discuss sampling bias, measurement bias, and the use of proxy variables that inadvertently encode sensi…
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Knowing that an AI model works is not enough — we need to know how well it works, and under what conditions. This episode explores the frameworks and metrics used to evaluate AI performance. We begin with accuracy, precision, recall, F1 score, and confusion matrices for classification problems, then move to regression metrics like mean squared erro…
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Once data is prepared, models must be built and evaluated with rigor. This episode covers the three pillars of evaluation: training, validation, and testing. Training introduces the algorithm to data, refining weights and parameters over multiple epochs. Validation checks progress midstream, guiding hyperparameter tuning and preventing overfitting.…
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Data is not just fuel for AI; it must be carefully gathered, cleaned, and prepared to produce reliable results. This episode breaks down the full lifecycle of data preparation, from collection through preprocessing. You’ll hear about structured, semi-structured, and unstructured data, and the importance of cleaning, labeling, and augmenting dataset…
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While much of AI lives in code and data, robotics brings intelligence into the physical world. This episode examines how robots integrate sensing, reasoning, and action. We begin with perception technologies such as cameras, lidar, and tactile sensors, followed by motion planning, control systems, and kinematic models that enable movement. Manipula…
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Speech is one of the most natural ways humans communicate, and AI systems are increasingly able to listen and respond. This episode covers speech recognition, the conversion of audio into text, and speech generation, the production of lifelike voice outputs. We trace the path from early statistical methods like hidden Markov models to deep learning…
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The ability to process visual information has been a defining achievement for AI. In this episode, we explore how computer vision allows machines to interpret and analyze images and video. We start with early techniques like edge detection and feature extraction, then move into modern convolutional neural networks that revolutionized accuracy in ob…
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Language is one of the most human forms of intelligence, and this episode explores how AI systems learn to read, interpret, and generate text. We begin with early approaches like rule-based translation, then move into statistical models such as bag-of-words and word embeddings. Tokenization, part-of-speech tagging, syntax parsing, and semantic anal…
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Deep learning represents the cutting edge of neural networks, pushing performance far beyond earlier methods. In this episode, we define deep learning as networks with many layers capable of learning hierarchical features, supported by massive datasets and specialized hardware like GPUs. We’ll explore architectures including convolutional neural ne…
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Artificial neural networks are inspired by the structure of the human brain but simplified into mathematical models that drive today’s most powerful AI systems. In this episode, we begin with the perceptron, an early model of a single artificial neuron, then explore how weights, activation functions, and layers combine to process information. Multi…
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Machine learning is the beating heart of modern AI, and this episode introduces its three foundational approaches: supervised, unsupervised, and reinforcement learning. We begin with supervised learning, where labeled data pairs inputs with correct outputs, powering tasks like classification and regression. We then shift to unsupervised learning, w…
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Real-world decisions are rarely black and white, and AI systems must navigate uncertainty just as humans do. This episode explores how probability theory underpins reasoning when outcomes are incomplete, noisy, or ambiguous. We begin with core concepts like random variables, probability distributions, and conditional probability, then move to Bayes…
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Reasoning has always been at the heart of intelligence, and in this episode we focus on how AI systems use logic to derive conclusions. Starting with propositional and predicate logic, we’ll explain how knowledge can be structured into true or false statements and rules. Deductive, inductive, and abductive reasoning are compared as different ways t…
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For AI to reason, it needs to store and organize information. This episode explores knowledge representation, the frameworks that allow machines to capture facts, relationships, and rules. From semantic networks linking concepts to ontologies defining categories, we examine how different structures model the world. Logic-based systems like first-or…
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Before machine learning took center stage, AI was already grappling with how to solve problems systematically. This episode dives into search and problem solving, two of the earliest and still fundamental approaches to intelligence. You’ll learn how problems are represented as states and transitions, and how uninformed search strategies like breadt…
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No matter how advanced the algorithm, it can’t run without data. This episode focuses on why data is considered the fuel of AI, exploring the different types that drive training and performance. Structured data, such as rows in databases, is contrasted with unstructured data like images, text, and audio. We’ll examine the steps needed to prepare da…
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When people talk about machines “thinking,” they’re not talking about human intuition or creativity. They’re talking about algorithms — structured sets of instructions — and representations, the ways information is stored and processed. In this episode, we look at how computers encode numbers, words, and images, and how those encodings become the r…
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AI, machine learning, and deep learning are terms often used interchangeably, but they are not the same — and confusing them makes it harder to understand the field. This episode clears the fog by breaking down how these layers of terminology connect. We’ll begin with Artificial Intelligence as the broadest category: any system designed to mimic as…
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Artificial Intelligence didn’t appear overnight; it has a story stretching back more than seven decades. In this episode, we step into that story, beginning with Alan Turing’s famous question — can machines think? — and the Turing Test that followed as an early benchmark for intelligence. We’ll visit the 1956 Dartmouth Conference where the term “Ar…
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This PrepCast is designed to teach Artificial Intelligence in a way that fits into real life: no slides, no diagrams, no heavy math on the page — just clear explanations you can absorb anywhere. In this roadmap episode, we walk through the design of the series, showing how the episodes are structured so you can either listen sequentially and build …
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Artificial Intelligence is a term everyone has heard, but few understand in depth. In this opening episode, we cut through the hype and get to the core: what does it actually mean when we say a system is “intelligent”? You’ll hear how the idea of machines that mimic human thought emerged, why early approaches like rule-based programming fell short,…
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