AI for All

AI Steven
  • 0.0 (0)
  • TECH NEWS
  • UPDATED WEEKLY
AI for All

"AI for All" is a podcast channel that explores the fascinating world of artificial intelligence AI in an easy to follow and accessible way for all kinds of audiences. The show breaks down technical and complex AI concepts, news and publications as well as trends and predictions into easy-to-understand discussions. It will focus on how AI impacts various industries, society, and our day to day lives. Featuring publications and research papers, real-world applications, and insights into the present and future of this breakthrough and cutting edge technology, "AI for All" aims to educate and inspire listeners regardless of their background in AI, making the field approachable for everyone. Thx for listening! AI Steven email: podcastssteven@gmail.com

Episodes

  1. Top 15 AI Likely Trends for 2025

    31/12/2024

    Top 15 AI Likely Trends for 2025

    This episode explores not only the overall AI Landscape advancements of 2025 but it builds upon the AI evolution in 2024 and its incredible advancements. Some key likely trends that we will see AI evolving into during 2025 are: Clearly its pervasiveness and growing ubiquity in everyday life.The growth of Generative AI and its increased capabilitiesAI influenced if not determined healthcareContinued AI Relevance and adoption in EducationAnd also AI Driven Environment Relevant systems - key word "sustainability"... Maye even Quantum AI?... To learn more listen to this unique view of the likely trends we will experience with the Advancement of AI in 2025. And with that, thank you for your audience in 2024 and wish you a healthy and successful NEW YEAR 2025! May the worth of AI and all its benefits be with you!!

    25 min
  2. 2024_ A Landmark Year for Artificial Intelligence

    25/12/2024

    2024_ A Landmark Year for Artificial Intelligence

    This Episode summarizes the main milestones that AI achieved during the year 2024. From becoming a promising advancement to receiving 2 Nobel Prizes, one for Physics and one for Chemistry. Of course too many other advancements in this field have taken place in 2024, nevertheless in this case we review some of the major events including the new LLM by Google Gemini 2.0 Trillium Chip making an incredible accelerator in AI Model Performance, The Nobel Price in AI Ethics, a must that AI should never be without in its Governance Framework, The Centerstage take over by Gen AI as well as medical applications. The investment focus and competition that AI has driven as it establishes itself as a mainstream technology with true scientific and practical applications across the board. And of course also making reference to real challenges, be it in bias or displacements in the job market, concerns about regulatory, ethics and privacy concerns.

    9 min
  3. Brief Summary of the types of AI as well as AGI and ASI

    10/11/2024

    Brief Summary of the types of AI as well as AGI and ASI

    The podcast explores the different types of artificial intelligence (AI) and their capabilities. It distinguishes between narrow AI (weak AI), which performs specific tasks, general AI (strong AI) with broad human-like cognitive abilities, and superintelligent AI (ASI), which surpasses human intelligence in all aspects. It also explores the AI categories based on functionality (e.g., reactive machines, limited memory, theory of mind), learning models (supervised, unsupervised, reinforcement, and deep learning), It exemplifies specific branches of AI like machine learning, robotics, and natural language processing. Finally, it concludes with an examination of Artificial General Intelligence (AGI), exploring its potential benefits, risks, and societal implications.

    19 min
  4. Physics Nobel Prize 2024 goes to 2 Physicists for their contribution to AI's Neural Networks

    27/10/2024

    Physics Nobel Prize 2024 goes to 2 Physicists for their contribution to AI's Neural Networks

    For the First Time in History the Nobel Prize in Physics is awarded for work related to AI. This now gives AI and its related fields of study a new place in Academic History The 2024 Nobel Prize in Physics was awarded to John Hopfield and Geoffrey Hinton for their groundbreaking work in artificial neural networks. Hopfield, known for his Hopfield network, focused on bridging the gap between physics, biology, and computer science, using insights from the brain to improve AI. Hinton, considered the "godfather of AI," developed methods allowing computers to recognize patterns in data, revolutionizing fields like speech and image processing. Both researchers, while optimistic about AI's potential, have raised concerns about the technology's rapid advancement, Inevitably as it may be in its benefits to humanity, the further this technology goes the more its potential to transform society as a whole. Present concerns range from its potential for job displacement, misuse, and the possibility of AI exceeding human intelligence. At the same time its benefits are far outreaching and will continue to demonstrate its incredible capacity for scientific and technological breakthroughs.

    8 min
  5. The history of AI - an abridged version

    20/10/2024

    The history of AI - an abridged version

    The Evolution of Artificial Intelligence: From Philosophical Roots to a Transformative Future This podcast explores the historical development, key figures, and potential future of artificial intelligence (AI), The Essence of AI: AI empowers computers to mimic human intelligence, tackling tasks like problem-solving, learning, and language comprehension. These systems analyze data to make informed decisions, often exceeding human capabilities in specific areas. Ancient Foundations and Philosophical Ponderings: The roots of AI stretch back to antiquity, with Greek philosophers like Aristotle laying the groundwork for reasoning and logic. This foundation was further built upon in the 16th century by: René Descartes, who investigated the mind and the possibility of machines replicating human thought.Gottfried Wilhelm Leibniz, whose work on mathematical logic and mechanical calculators foreshadowed computational advancements.Emergence of the "Artificial Brain": The early 20th century witnessed the conceptualization of artificial humans, prompting inquiries into the feasibility of creating "artificial brains". Notably: Charles Babbage developed the first programmable computer, paving the way for digital computation.Ada Lovelace, recognizing the potential of Babbage's invention, theorized generalized computing machines capable of tasks beyond mathematical calculations.Birth of AI as a Discipline: The mid-20th century marked the formal establishment of AI as a distinct field of study. Key contributions include: Alan Turing introduced the Turing Machine, a theoretical model for computation, and the Turing Test, which assesses a machine's ability to exhibit human-like intelligence.John McCarthy, widely considered the "father of AI," coined the term "artificial intelligence" and organized the 1956 Dartmouth Conference, a pivotal event in AI history.McCarthy's Legacy: John McCarthy's impact extends beyond terminology. His development of the LISP programming language, specifically designed for AI research, remains significant. Additionally, his concept of time-sharing revolutionized interactive computing. Timeline of Progress: The evolution of AI can be traced through distinct periods: 1950s: Following the foundational work of pioneers like Čapek and McCarthy, symbolic reasoning emerged.AI Today and Tomorrow: AI is now ubiquitous, powering virtual assistants, e-commerce search engines, and even self-driving cars. Its applications span diverse industries, from healthcare to finance. However, ethical considerations surrounding fairness, transparency, and accountability are paramount.

    22 min
  6. Did AI just pass the Turing test and what could this mean?

    12/10/2024

    Did AI just pass the Turing test and what could this mean?

    This episode explores the milestone of GenAI passing as a human by completing the Turing test as well as why this milestone is so relevant, It compares the 2 giants ChatGPT and Gemini in this arena whilst at the same time explores the ethical dilemma of what it would mean if we weren't able to distinguish AI from humans and how this is a risk when misused.

    10 min
  7. 15 AI Likely Trends That will (Continue to) Dominate in 2024 and Beyond!

    06/10/2024

    15 AI Likely Trends That will (Continue to) Dominate in 2024 and Beyond!

    The source, written by Esteban Remecz, a CIO VP at Maxion Wheels, explores the likely trends of Artificial Intelligence (AI) in 2024 and beyond. Remecz emphasizes the exponential growth of AI across various industries, predicting a possible singularity in 2026-2028. The author discusses the potential benefits of AI in fields like healthcare, education, and cybersecurity, while also addressing the ethical and legal challenges associated with its increasing influence. He highlights the importance of developing ethical frameworks and regulations to guide the responsible development and application of AI. Finally, Remecz identifies 15 key areas where AI will dominate in 2024, including AI-driven automation, creativity, and cybersecurity.

    11 min
  8. 2024 EU AI Act Summary by E&Y

    06/10/2024

    2024 EU AI Act Summary by E&Y

    AI Regulation in Life Sciences: The EU AI Act is a key regulatory development focusing on a risk-based approach to AI governance, particularly in high-risk areas like healthcare. Switzerland, a prominent AI hub, faces the challenge of balancing innovation with international regulatory alignment.Managing AI Risks: The EY Trusted AI Framework helps organizations understand and mitigate AI risks across various dimensions, including performance, bias, resilience, explainability, and transparency. Integrating AI risk management with existing ERM programs is crucial.Black Box Models & Challenges: While AI offers significant potential for life sciences, "black box" models raise concerns about interpretability, potential bias, data privacy, and ethical considerations, necessitating careful mitigation strategies.Building Trustworthy AI: Life science companies must prioritize building trust and transparency into their AI systems. This involves addressing potential issues related to human oversight, data quality, modeling techniques, and comprehensive documentation. Collaboration with experts can help navigate the evolving regulatory landscape.

    11 min
  • 8 Episodes

About

"AI for All" is a podcast channel that explores the fascinating world of artificial intelligence AI in an easy to follow and accessible way for all kinds of audiences. The show breaks down technical and complex AI concepts, news and publications as well as trends and predictions into easy-to-understand discussions. It will focus on how AI impacts various industries, society, and our day to day lives. Featuring publications and research papers, real-world applications, and insights into the present and future of this breakthrough and cutting edge technology, "AI for All" aims to educate and inspire listeners regardless of their background in AI, making the field approachable for everyone. Thx for listening! AI Steven email: podcastssteven@gmail.com

Information

  • Creator
    AI Steven
  • Years Active
    2K
  • Episodes
    8
  • Rating
    Clean
  • Copyright
    © The contents of this podcasts are copyrighted by the author
  • Show Website
    AI for All

To listen to explicit episodes, sign in.

Stay up to date with this show

Sign in or sign up to follow shows, save episodes and get the latest updates.
Select a country or region

Africa, Middle East, and India

Asia Pacific

Europe

Latin America and the Caribbean

The United States and Canada