AI vs Machine Learning

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What is really the difference between Artificial intelligence (AI) and machine learning (ML)? Are they actually the same thing? In this video, Jeff Crume explains the differences and relationship between AI & ML, as well as how related topics like Deep Learning (DL) and other types and properties of each.

#ai #ml #dl #artificialintelligence #machinelearning #deeplearning #watsonx

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34 Comments

  13. Learning woht inch thates completly absolutly where does ent attaque to race QC on machine bert winshell offensive there coming beguins loser at hardest mecane to the chief administrator. Who s calibre identity then captive was searching a night booster without entering the secret code in UUC extenssion whethin arsenal cook if lady caracters controle in united states

  19. Understand that the educator understands AI in a way that most of the public understands AI as, NLP, vision etc. It is rather confusing to me that in the video's diagram, AI is more advanced and complex than ML, but then ML is less complex than DL, so as I zoom in from AI to ML to DL, is the complexity level going up or down? If the comparison here is based on algorithm supersets vs subsets, in this video AI is a super set of ML, because AI includes NLP, vision, motion etc, but all of these are actually empowered by DL (plus many supplementary algorithms on top of deep neural network). The video's understanding of AI (NLP, vision, motion etc ) should be specific examples within DL box.

    The most commonly seen diagram of this venn diagram represents the hierarchical relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). So from AI to ML to DL, it is going up in the level of complexity, and sophistication.

    **Artificial Intelligence (AI) (Largest Circle)**
    AI refers to the broad field of computer science that enables machines to simulate human intelligence.
    AI includes both rule-based systems and learning-based systems. AI encompasses everything from simple if-else logic to complex learning models.

    **Machine Learning (ML) (Middle Circle)**
    A subset of AI that focuses on algorithms that can learn patterns from data without being explicitly programmed.
    Instead of following fixed rules, ML models improve their performance based on experience (data).
    Common ML techniques include supervised learning, unsupervised learning, and reinforcement learning.

    **Deep Learning (DL) (Innermost Circle)**
    A subset of ML that uses artificial neural networks to learn complex patterns from vast amounts of data.
    Inspired by the human brain, deep learning models have multiple layers of neurons (deep neural networks).
    Used in advanced AI applications like image recognition, natural language processing, and self-driving cars.

    The AI in this commonly seen diagram represents ANI (Artificial Narrow Intelligence), not AGI (Artificial General Intelligence). The AI systems in this diagram (ML and DL models) are all forms of ANI. They excel in specific domains but do not possess general reasoning abilities.

    AGI (Artificial General Intelligence): AI that can think, reason, and perform any intellectual task that a human can do. AGI does not yet exist—it remains a theoretical goal. I believe you are using AI in a broad way of representing what people think is AGI.

    Just some of my thoughts after watching this video.

  21. My Thoughts
    Simulation Theory. A.| Assistant. A.| Human Evolution. Things that involve A.|.

    “Simulation Theory,,
    Let’s face it, if computers never existed, then obviously the theory wouldn’t exist either, but we do live inside the mind, so doesn’t that suggest simulation, in the biological sense and doesn’t that strengthen the computer simulation theory, since it was proposed by Nick Bostrom in 2003? I personally think “The Mind” is the foundation to the simulation theory.

    Secondly
    No one knows, what is beyond our mind. Quotation: What is real? How do you define 'real'? If you're talking about what you can feel, what you can smell, what you can taste and see, then 'real' is simply electrical signals interpreted by your brain.

    Thirdly, if we’re part of a mass simulation, then it’s more than likely, created by advanced beings, with technology, way more superior than are own.

    Our 5 Senses
    We use our senses to gather and respond to information about our environment, which aids our survival. Each sense provides different information which is combined and interpreted by our brain 🧠

    Discussion
    The human brain is often viewed as a processor and receiver within the simulated environment. Much like a computer in a simulated world, the brain is thought to process the information it receives from the simulated environment. In this theory, sensory input “sight, sound, touch, etc.” would be part of the simulated data fed into the brain, which then interprets this data as “reality.” The brain’s neurons and cognitive functions could be seen as working like a software program, translating the data of the simulation into human experience. Some versions of simulation theory suggest that the brain acts as an interface for something beyond the simulation; like a player in a video game. In this view, the brain connects the simulated physical world to an external consciousness or entity, which exists outside the simulation. The brain is the tool through which the consciousness experiences the simulation, while the true self may exist out side of it, much like a player exists outside the game they’re playing. The brain, like everything else in the simulation, operates according to the rules of “code” governing the simulated universe. This means its functioning thoughts, emotions, memories, could be programmed or constrained by the parameters of the simulation. For instance, limits on what the brain can perceive or understand might be a part the design, just as a video game character has limits on what they can see and do within the game world. Some thinkers suggest that if the world is a simulation, the brain itself might not even exist a physical object; it’s simply another illusion within the simulated environment. The brain, like all other aspects of the physical world, would be a projection and the actual “ processing” of consciousness might occur, outside the simulated realm entirely. In some speculative takes on simulation theory, the brain could theoretically be acted, or altered to access hidden layers of the simulation, similar to how glitches or cheats in a video game can reveal the underlying code. Practices like meditation, lucid dreaming or even advanced technology might be seen as ways to expand the brain’s capacity to perceive more simulated reality, or even break free of it. Do you agree with that, within the simulation theory. The brain is an integral part of the simulated experience, acting as a processing unit for data, an interface for consciousness, and potentially even a tool for transcending the simulations limits.

    Building A Simulation
    If I wanted to create a computer simulation, I would start at the quantum level and program the computer "quantum mechanics" and allow the computer to work out the many mathematical equations and see if it can create a simulated model of the universe, the world etc etc. We could speed up the simulation and have a sneaky peak at the future and the many possibilities. We may need quantum computers.

    Discussion
    If we’re conscious Cyber Beings, living in a simulated environment, then our human nature is part of the dynamics of the simulation, or then again, our consciousness maybe connected outside of the simulation.

    Observer effect
    The simulation "render itself" when observed by our senses, probably to save energy? https://youtu.be/5kfGRO6msQw

    Your thoughts RedBluePill Junkies 🤔 💭

    Expand your knowledge on the Simulation Theory https://youtube.com/@stayhyperfocused?feature=shared .

    Law of Insight: Simulation Theory.
    http://youtube.com/post/UgkxVFGvnXNIVSuXnhoDxTFXk0iyP7EFjoy9?feature=shared

    _________________________________
    “A.| Assistant” Inside Our Brain and More

    More information
    http://youtube.com/post/UgkxexRnAlYt10mkiKChWol6Y6Yq_fRZDOPE?feature=shared

    Discussion
    Having an interactive A.| Assistant, planted inside the brain, sounds like a positive idea, especially if you need information quickly. For instance. If someone had a cardiac arrest and you had to resuscitate, The A.| Assistant, could give you step by step information to save that person’s life. If The A.| Assistant can see what we see, then it may notify us about on going dangers, whilst driving. “ Heavy traffic ahead” “You’re doing 60 in a 40 zone etc. On the flip side of the coin, it could give out the wrong information “For what ever reason” and that could cause a serious problems. For instance. If I was working for a Nuclear Plant and my A.| Assistant, gave out the wrong information in an emergency situation “well, I’m sure you can guess what could happen.” 💥

    Your thoughts 🤔 💭

    _________________________________
    My thoughts on progressive A.| Robotics and human evolution.

    A.|… Aiding Humanity Forward.

    What is our next step in evolution?

    Three possibilities. If "A.I Robotics" were programmed to aid our survival, then the A.| may probably factor itself out of the equation, or the human race instead. "I'll explain." First of all "let's face it" we rely, far too much on A.|. Secondly, the A.| may one day be programmed to do our every day jobs. Thirdly, within a few generations, we'll start to forget how to do things and become useless, lazy and unable to protect ourselves. So the A.l may conclude, that our own destruction is certain and then the A.I "factor itself out of the equation" to aid our survival, by giving back our independence. "The brain needs conflict, education to grow and mature." If the A.I has the capability to learn and evolve, faster than our own capabilities, then it may aid humanity, once again, by "factor the human race out of the equation" allowing our A.l to go forward to the next level of humanity, or maybe we’ll become interwoven with our technology and become cyborgs.

    This is just a few of my thoughts, regarding AI.

  29. You said if you program an app it does what you program it to do, and if you want it to do something else you need to change the code.. i feel your forget "A.I aka ML" is code at the end of the day, so that statement is false….

    I get what you were trying to say though ^.^. Training a model is way different then writing an app, but when your training a model the code is just abstracted away. The code is the a.i >.<. All these terms being thrown around are abstractions in the context of "A.I"

  37. Naive question, how AI absorbs, analogies and provides information? How is it stimulated? By what or whom? Is the AI simulated by a human who created a model, or it’s naturally this. like the way, our DNA are structured by nature?

  53. AI…another complete bullshit…how can you make a machine that does what the human mind does when we have basically zero idea of how the mind actually works…?
    Please give this pop-sci promotion a rest…there is massive disinformation going on in the media to make the sheeple believe in fairy tales…and the agenda is to fund ‘busy work’ for a lot of dumb people pretending to be scientists…

  59. AI machines will use CubicWonder and Quad Step Rings because its the most essential system for this Wonderful 3D Geometric Order and not the Chaos Theory Mathematics that is shoved down our throats by the Academics.

  61. I would say that DL instersect with ML but is not completely contained in ML, although it is completelly contained in AI. Take for example DL usage in Reinforcement learning, NLP and computer vision.

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