Innovation

What are the most interesting fields of tech at the moment? The subjects that mobilize the most intelligent people and for which groundbreaking advancements are being made.

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  1. 4 weeks ago
    Anonymous

    Using your personal data to get you to purchase more slop.

    • 4 weeks ago
      Anonymous

      Machine learning/deep learning, CPU and GPU design, cloud security and IoT security are the main ones nowadays

      The most recent developments are in neural networks and materials science, but those aren't the most interesting fields (at least to me)

      Web development frameworks

      this

  2. 4 weeks ago
    Anonymous

    Machine learning/deep learning, CPU and GPU design, cloud security and IoT security are the main ones nowadays

    • 4 weeks ago
      Anonymous

      Is ML/DL really that advanced or is it as IQfy says, glorified statistics?
      I guess by tech I really meant CS, which CPU/GPU design doesn't really fall under but that's on me for using the wrong terms
      What's so special about cloud/IoT sec?

      The most recent developments are in neural networks and materials science, but those aren't the most interesting fields (at least to me)

      What are the most interesting fields to you?

      • 4 weeks ago
        Anonymous

        >What are the most interesting fields to you?
        Processor architecture and spaceshit

        • 4 weeks ago
          Anonymous

          >Processor architecture
          Isn't this a cutting edge field though? Lots of advances are being made. More on the physics and engineering front from what I understand, not on the theoretical/CS front, but I might be mistaken.

          >glorified statistics
          It's statistics. A whole lot of statistics, on an unimaginably huge scale.

          So what's special about machine learning that makes companies want to hire so many PhDs, then?

          • 4 weeks ago
            Anonymous

            >So what's special about machine learning that makes companies want to hire so many PhDs, then?
            Figuring out how to bodge the statistics together.

          • 4 weeks ago
            Anonymous

            You make it sound fairly mundane.

            >Isn't this a cutting edge field though? Lots of advances are being made.
            It depends on your perspective. For instance improvements in the heuristics guiding speculative execution is an advancement in terms of execution speed, but you could view is as technologically regressive as it's only another attempt to solve a constraint from the 1980s

            >More on the physics and engineering front from what I understand
            Yes in terms of transistor density and routing it's significantly better

            Do you work in that field?
            Is the advancement for other forms of integrated circuits (GPU, FGPA, TPU) the same, or do these technologies all evolve at their own pace?
            Is there any work at all being done on the theoretical side of computer architecture, or at this point is it just about squeezing out more performance via research in the physics/materials department?
            I know absolutely nothing about this field

          • 4 weeks ago
            Anonymous

            >Do you work in that field?
            I'm educated and do research in the field, but I don't work for a commercial chip fab or anything

            >Is the advancement for other forms of integrated circuits (GPU, FGPA, TPU) the same, or do these technologies all evolve at their own pace?
            There's been significant changes in FPGAs and GPUs, which have the advantage of being less tied to backwards compatibility. If we were to design CPUs today they would resemble GPUs. There was also work to make FPGA-like coprocessors which could accelerate specific functions in your program, but the only thing like that today is programmable pipelines in graphics cards

            >Is there any work at all being done on the theoretical side of computer architecture, or at this point is it just about squeezing out more performance via research in the physics/materials department?
            There has been ongoing work since the 70s (and even machines built), but research was often stalled by moore's law. If you designed and implemented a special-purpose processor that improved execution time by 10x, the argument was it would just be superseded by off-the-shelf hardware after 6 years

            The commercial sector seems to be more about accelerating existing ISAs and adding extensions, although there is a necessary convergence between their efforts and research because they are trying to solve the same problem

          • 4 weeks ago
            Anonymous

            CE PhD or something?
            >backwards compatibility
            CPU architecture needs to be backwards compatible in what sense? Apple has moved from x86_64 to ARM for example, right?
            Does this need for backwards compatibility mean that GPUs are eventually going to overtake CPUs for most commercial applications?
            >moore's law
            I thought that some people thought it didn't apply anymore.
            But even if it still does, does it mean that doing research on novel processor architectures is completely useless?

            Where can I learn more about this topic in general? My background is more related to CS, I know nothing about engineering or electronics.

          • 4 weeks ago
            Anonymous

            >Isn't this a cutting edge field though? Lots of advances are being made.
            It depends on your perspective. For instance improvements in the heuristics guiding speculative execution is an advancement in terms of execution speed, but you could view is as technologically regressive as it's only another attempt to solve a constraint from the 1980s

            >More on the physics and engineering front from what I understand
            Yes in terms of transistor density and routing it's significantly better

      • 4 weeks ago
        Anonymous

        >glorified statistics
        It's statistics. A whole lot of statistics, on an unimaginably huge scale.

  3. 4 weeks ago
    Anonymous

    The most recent developments are in neural networks and materials science, but those aren't the most interesting fields (at least to me)

  4. 4 weeks ago
    Anonymous

    Web development frameworks

  5. 4 weeks ago
    Anonymous

    I just read about a quantum compass they are testing
    https://en.m.wikipedia.org/wiki/Quantum_compass

  6. 4 weeks ago
    Anonymous

    poo in loo sir

  7. 4 weeks ago
    php-dude

    the bleeding edge is to implement a decent key protocol for *nix terminal, which would allow application to get key down and up states, keycode, modifier and unicode character.

    its bleeding for ages i would say.

    more seriously, the question imo is unaswerable because if you list something, its already been studied enough.

    i would project extra cheap, relatively easy-to-made, guided rockets, instead of drone droppers and also a garage made radar + ballistic calculator sentry gun, ie reducing costs.

    me working on asyncronicity in php

    • 4 weeks ago
      Anonymous

      >if you list something, its already been studied enough.
      Not necessarily, fields can be cutting edge but still be famous

      • 4 weeks ago
        php-dude

        necessary. famous means already implemented. those starting conditions are unlikely (interesting + known)

        Musk called his company "boring" for the reason. interesting could be a futuristic picture of a distant world populated with humanoids

    • 4 weeks ago
      Anonymous

      >its already been studied enough.
      Doesn't mean anything.
      Computers have had tens of millions of people and hundreds of trillions of dollars poured into them, and they're still relatively mediocre to what they could be

      • 4 weeks ago
        php-dude

        computers are mediocre - this doesnt mean anything. mediocre compared to what? your imagination?

        i disappoint you but your imagination doesnt exist, but your laziness and lack of implementation skill and time limits does

  8. 4 weeks ago
    Anonymous

    Spintronics, optical networking, possibly quantum computers, high-temp superconductors, advances in space flight, quantum-resistant cryptography, waifu-bots, general maintenance robots, battery technology, super capacitors, etc. There are plenty of fields. Those are just the ones I can think about off the top of my head.

  9. 4 weeks ago
    Anonymous

    So what's the status of optical computing these days?

    • 4 weeks ago
      Anonymous

      i have not dared to look it much, germans seem to have it

    • 4 weeks ago
      Anonymous

      GF has some optical switches for data center chips its quite advanced nowadays but not the holy grail they sold it as. Magnonics looks a lot more promising but its a small group of researchers nothing commercial.

  10. 4 weeks ago
    Anonymous

    De-escalation of mass consumption.

  11. 4 weeks ago
    Anonymous

    e-paper displays
    big physical storage
    handheld PCs
    piracy and self-hosting

  12. 4 weeks ago
    Anonymous

    I didn't know this artist, thanks for sharing

  13. 4 weeks ago
    Anonymous

    Reusable rockets

  14. 4 weeks ago
    Anonymous

    Biology / molecules / DNA + AI

    We still rely on fricking plants for most of our medicine. The adress space for all possible cures is to be still found.

  15. 4 weeks ago
    Anonymous

    Here's a hint. Imagine the world if we had room-temperature superconductors.

  16. 4 weeks ago
    Anonymous

    SAT/SMT solvers.

  17. 4 weeks ago
    Anonymous

    showing people ads

  18. 4 weeks ago
    Anonymous

    How much of a meme is quantum computing

    • 4 weeks ago
      Anonymous

      it's more domain-specific, not a replacement for general-purpose

  19. 4 weeks ago
    Anonymous

    REIT

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