#project data to image

[project-sekai-facts]

Here's 25-ji, Nightcord de.'s artworks from the 3rd anniversary site!

[cuttledreams-bugs]

Also website is almost done, I am tentatively excited to share it soon. I cannot believe my html/css learning dreams are coming true

Look forward to a handful of updates shortly!

[grison-in-space]

yeah all right I'm at s5e2 of this dumb firefighters show and look I'm sorry I haven't seen anything this intensely but unacknowledgedly gay without feeling the need to either no homo itself or engage with a very special episode subplot since, like... Due South. Or The Sentinel. It keeps using all the same tropes you see between the main love interests in an ensemble piece, just centered on two people who happen to be guys.

I'm weirdly convinced that this is a deliberate choice to probe the genre and play with the writing opportunities afforded by taking these really standard and familiar procedural tropes and storylines, and then mixing the genders willy nilly. After all, this show is... not subtle about making a habit of that throughout: it loooooooves to dig through familiar procedural subplots with gendered expectations and subversions. This is, in fact, the show that kicks its first arc off by exploring the possibilities for character decisions entailed by a loving, supportive marriage divorcing because one partner wants to come out as gay. It's a show that gives all its most traditionally masculine subplots to Athena, the most femme woman on the main cast! It really wouldn't be out of character for the show to move in that direction.

I'm not actually invested in canon Buck/Eddie per se— I've never needed that from my fandom time — but I'm fascinated by the storytelling opportunities afforded to it, and I'm keenly aware that writers rooms almost definitely include people in them now who have spent a significant time in fandom as participants, and who have thought deeply about the ways that gender can shape stories (particularly though the venue of always-a-gender! AUs). I'm also.... hm, how shall I put this...

That relationship is already textually queer. Wills have been modified involving custody and co-parenting agreements, okay, we are firmly in the territory of "immediate family" commitment levels. They could both be 1000% straight and cis and this would still be a relationship that queers normative expectations, particularly on men and especially on young men. I don't actually need it to do anything else to love it.

So I'm not coming from a place of wanting to see anything in particular in that respect, but I gotta say: it really feels to me that this show is playing with the ability to have its cake and eat it too in terms of the "will they/won't they" dynamic of the "main couple" in a television series: you can be as dramatic and iddy as you want, really dial up those emotional stakes, but at the same time your audience isn't huffing and whining that everything is so predictable because just by existing between two men you're subverting audience expectations.

It's really interesting. I'm enjoying myself a lot.

[racke7]

By the most generous estimate, I've now slept for 3+2 hours. But that 2 is suspect, bcs I didn't exactly fall asleep within the first hour I crawled back into bed.

[d0nutzgg]

Tonight I am hunting down venomous and nonvenomous snake pictures that are under the creative commons of specific breeds in order to create one of the most advanced, in depth datasets of different venomous and nonvenomous snakes as well as a test set that will include snakes from both sides of all species. I love snakes a lot and really, all reptiles. It is definitely tedious work, as I have to make sure each picture is cleared before I can use it (ethically), but I am making a lot of progress! I have species such as the King Cobra, Inland Taipan, and Eyelash Pit Viper among just a few! Wikimedia Commons has been a huge help!

I'm super excited.

Hope your nights are going good. I am still not feeling good but jamming + virtual snake hunting is keeping me busy!

[aku-zone]

I think archiving stuff is genuinely one of my favourite things ever. I love downloading things and putting them into little categories. Books. Music. Images. Spreadsheets n lists in general. But images are my favourite. I love collecting stuff and images are like the poor mans collectables

[reasonsforhope]

If you're feeling anxious or depressed about the climate and want to do something to help right now, from your bed, for free...

Start helping with citizen science projects

What's a citizen science project? Basically, it's crowdsourced science. In this case, crowdsourced climate science, that you can help with!

You don't need qualifications or any training besides the slideshow at the start of a project. There are a lot of things that humans can do way better than machines can, even with only minimal training, that are vital to science - especially digitizing records and building searchable databases

Like labeling trees in aerial photos so that scientists have better datasets to use for restoration.

Or counting cells in fossilized plants to track the impacts of climate change.

Or digitizing old atmospheric data to help scientists track the warming effects of El Niño.

Or counting penguins to help scientists better protect them.

Those are all on one of the most prominent citizen science platforms, called Zooniverse, but there are a ton of others, too.

Oh, and btw, you don't have to worry about messing up, because several people see each image. Studies show that if you pool the opinions of however many regular people (different by field), it matches the accuracy rate of a trained scientist in the field.

--

I spent a lot of time doing this when I was really badly injured and housebound, and it was so good for me to be able to HELP and DO SOMETHING, even when I was in too much pain to leave my bed. So if you are chronically ill/disabled/for whatever reason can't participate or volunteer for things in person, I highly highly recommend.

Next time you wish you could do something - anything - to help

Remember that actually, you can. And help with some science.

[project-sekai-facts]

Here's Vivid BAD SQAUD's new artworks from the third anniversary site!

[technology-123s-blog]

Deep Learning Projects for Students - Takeoff Projects

Deep Learning Projects are exciting and advanced applications of artificial intelligence that solve complex problems by mimicking the way humans think. At Takeoff Projects, we provide a platform for students and professionals to explore and work on innovative deep learning projects that are both educational and practical. These projects involve training neural networks to analyze large amounts of data and make intelligent decisions.

Some popular deep learning projects include image recognition, where models identify objects or faces in pictures, and natural language processing, which helps in building chatbots or translating languages. Deep learning is also used in healthcare to analyze medical images like X-rays to detect diseases, and in self-driving cars to recognize objects on the road and ensure safe navigation.

At Takeoff Projects, we guide learners through real-world projects such as creating speech recognition systems, building recommendation engines like those used by Netflix or Amazon, and designing AI models for time-series forecasting like stock price prediction. We simplify these concepts with hands-on support, making them easy to understand and implement.

We also focus on innovative areas like Generative Adversarial Networks (GANs), which can create realistic images or enhance low-resolution photos, and robotics, where deep learning enables machines to perform tasks like sorting or assembly. These projects not only build technical skills but also prepare learners for a bright future in AI and data science.

Whether you are a beginner or an advanced learner, Takeoff Projects helps you take the first step toward mastering deep learning. By working on these projects, you can gain practical experience and showcase your expertise, opening up exciting career opportunities in this rapidly growing field. Let’s take off into the world of deep learning Projects together!

[potatoattorney]

Ace Attorney tier maker my beloved and beloathed

[globosetechnologysolutions12]

[nasa]

Hubble Space Telescope: Exploring the Cosmos and Making Life Better on Earth

In the 35 years since its launch aboard space shuttle Discovery, the Hubble Space Telescope has provided stunning views of galaxies millions of light years away. But the leaps in technology needed for its look into space has also provided benefits on the ground. Here are some of the technologies developed for Hubble that have improved life on Earth.

Image Sensors Find Cancer

Charge-coupled device (CCD) sensors have been used in digital photography for decades, but Hubble’s Space Telescope Imaging Spectrograph required a far more sensitive CCD. This development resulted in improved image sensors for mammogram machines, helping doctors find and treat breast cancer.

Laser Vision Gives Insights

In preparation for a repair mission to fix Hubble’s misshapen mirror, Goddard Space Flight Center required a way to accurately measure replacement parts. This resulted in a tool to detect mirror defects, which has since been used to develop a commercial 3D imaging system and a package detection device now used by all major shipping companies.

Optimized Hospital Scheduling

A computer scientist who helped design software for scheduling Hubble’s observations adapted it to assist with scheduling medical procedures. This software helps hospitals optimize constantly changing schedules for medical imaging and keep the high pace of emergency rooms going.

Optical Filters Match Wavelengths and Paint Swatches

For Hubble’s main cameras to capture high-quality images of stars and galaxies, each of its filters had to block all but a specific range of wavelengths of light. The filters needed to capture the best data possible but also fit on one optical element. A company contracted to construct these filters used its experience on this project to create filters used in paint-matching devices for hardware stores, with multiple wavelengths evaluated by a single lens.

Make sure to follow us on Tumblr for your regular dose of space!

[jcmarchi]

Weird Shift in Russian Tank Losses - Why the T-80 is Overtaking the T-72? - Technology Org

New Post has been published on https://thedigitalinsider.com/weird-shift-in-russian-tank-losses-why-the-t-80-is-overtaking-the-t-72-technology-org/

Weird Shift in Russian Tank Losses - Why the T-80 is Overtaking the T-72? - Technology Org

The T-72 is the main battle tank of Russia. Not just because pretty much every modern tank is categorized like that, but because it truly is the main. Russia has many other types of tanks, but this one seems to be the most important and most common one. That is why it is not surprising that the T-72 is dominating the lists of losses in Ukraine as well, but lately, another tank has been getting the attention of Ukrainian drones.

The T-80UK and the T-64BV in Ukrainian service. Image credit: 93rd “Kholodnyi Yar” Mechanized Brigade via Wikimedia (CC BY 4.0)

Since the beginning of the invasion, Russia has already lost 404 T-80BV tanks in Ukraine, according to the open-source intelligence site Oryx. This project only counts losses that can be confirmed through open sources and through visual data. This means that this is a conservative number, because not every destroyed tank is photographed and filmed so nicely.

Russian forces have already lost 624 T-80s of various modifications. Most of those tanks, as you’ve probably seen, are T-80BV, but Russia also lost 94 T-80Us and 96 T-80BVMs. Those are gigantic losses for Russian forces in Ukraine, even if they are still not close to T-72 stats.

According to Oryx, Russia lost at least 1191 T-72 tanks of various modifications in Ukraine. A large portion of them were actually captured, but, of course, most were destroyed.

In total, Russia already lost 2312 tanks in Ukraine and 1499 of them were destroyed. Ukraine captured 550 tanks and managed to turn them back around against the invading Russian forces.

Oryx notes that the number of T-80s that Russia is losing is increasing. Russia’s main tank is the T-72, so it’s strange that T-80 losses lately, in the short term, have been outpacing the T-72 losses.

The T-80 is basically the same-era tank in service since 1976. It is based on the T-94, but incorporates features from the T-72. Since these tanks functionally fulfill the same role, Russia chose to rely on the T-72, and mass production of the T-80 ended in 2001. Meanwhile, the T-72 is produced to this day.

Actually, lately, Russia has been talking about the renewal of the production of the T-80. It will not be easy to do, but with some time brand new standard T-80s could be rolling off production lines. The question is, of course, why the losses of the T-80 tank are so great lately.

It seems like the Russian forces are using them more, because the number of lost T-72s is so huge. Russia is gathering everything it has and pushes those reserves closer to the frontlines to try and hold the Ukrainian advance so that they wouldn’t achieve too much before the soil turns to mud.

The rumoured plans to restart the production of the T-80 main battle tank are also a reminder of the failure of the T-14 Armata project. The next-generation tank simply doesn’t exist in reality, despite Russian sources stating that it even served in Ukraine.

Written by Povilas M.

Sources: Focus.ua, Wikipedia

[zegalba]

The Most Detailed Images of the Moon ever (2023)

Photographer Darya Kawa stacked (133,000) frames and 147GB worth of data to achieve this. I've been working on this project since 4 days ago. This image takes up to 22 hours of editing and stacking since the amount of data was so massive.

Kawa took almost a quarter million frames (231,000) and i spend unimaginable amount of work over the course of 3 weeks to process and stack all the data which was equivalent to 313 GB.

[aboutaiart]

Ai Photos and Information.