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Joined 1 year ago
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Cake day: July 6th, 2023

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  • I’m no expert but I wonder if where there’s limited space for traditional sewage treatment plants, wastewater is just transported through a network of sewer lines to centralized treatment facilities? 🤔

    This would allow the treatment plants to be located further inland.

    Alternaively I guess they could employ on-site treatment technologies that can be incorporated into the building’s infrastructure 🤔

    But like I said I ain’t no expert and just speculating 😅





  • An academic book about emojis that can’t include emojis? That’s ironic and frustrating. Makes me sad that we live in a world where copyright hinders education and discussion 🙈

    Here is a Tl;Dr for the ones who don’t want to click the link:

    Oxford professor Jieun Kiaer published an academic book called “Emoji Speak: Communications and Behaviours on Social Media,” exploring how emojis are used across different cultures and ages, and considering their future in digital communication.

    Although the book discusses emojis in detail, Kiaer was unable to include actual images of many emojis due to copyright concerns, despite the fact that these symbols are ubiquitous in social media spaces, which are almost entirely copyright-free.

    Instead of using actual emojis, Kiaer hired an artist, Loli Kim, to draw similar representations, illustrating the barriers that exist between the online and offline worlds concerning copyright.

    The inability to use emojis in the book, even in an academic context, highlights the complications and absurdity of modern copyright laws, which some argue could have constituted a fair use situation.


  • Some in the AI industry have proposed concepts similar to Moore’s Law to describe the rapid growth of AI capabilities.

    Although there is no universally accepted law or principle akin to Moore’s Law for AI, people often refer to trends that describe the doubling of model sizes or capabilities over a specific time frame.

    For instance, OpenAI has previously described a trend where the amount of computing power used to train the largest AI models has been doubling roughly every 3.5 months since 2012.

    Source



  • I wonder if this technique can be expanded to other eye conditions 🤔

    Here is a Tl;Dr for the ones which don’t want to click the link:

    Researchers at Anglia Ruskin University in the UK have used 3D nanotechnology to successfully grow human retinal cells, offering a new way to treat age-related macular degeneration (AMD), a leading cause of blindness.

    AMD is categorized into two types: ‘dry’ and ‘wet,’ both of which cause vision loss due to the destruction or deterioration of the retina’s RPE cells.

    The team used electrospinning, a novel technique in this context, to create a 3D nanofibrous scaffold, composed of two polymers, which served as a base for growing the RPE cells. An anti-inflammatory coating was applied to the scaffold, enhancing the growth and functionality of the cells, which remained healthy and viable for up to 150 days.

    This innovative approach could lead to effective treatments for sight conditions like AMD, and the researchers are now focusing on transplanting these freshly grown cells into the human eye.