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If you ask anybody in Toronto, they’ll tell you that raccoons, AKA the Procyon lotor (Latin for “before-dog washer,” given their apparent penchant for washing their food), are everywhere. The creat…
RAMageddon claims another.
A glass-ball juggling game designed for blind players. Hold your phone in your open palm. Motion sensors detect each throw and catch, and sound tracks each ball. Miss a catch and the glass shatters.
Cross-subsidization inside hospitals doesn’t just distort prices, it makes healthcare harder to fix.
Tim Lindholm, Java's original JVM maintainer, shares with El Reg some of the grungy build details the doc glosses over
I am completely new to the world of earning money online. I don't have any experience yet, but I am very optimistic and willing to learn. When I look back, I always think about the early days of Bitcoin when it was worth almost nothing and required very little to get into. I know we can't turn back time, but I am looking for that same kind of innovative, ground-floor opportunity today. Are there any new, unusual, or emerging platforms right now where a beginner can get in early and earn something with high future potential? I am not looking for get-rich-quick scams, just real, innovative projects or micro-tasks that are flying under the radar right now. I would love to hear your thoughts and suggestions. submitted by /u/Used-Title7675 [link] [Kommentare]
This visualization looks at the token “Trump” in GPT-2 Small’s static embedding table, before attention or context is applied. The top plot is a t-SNE projection of 32,070 alphabetic tokens with at least two characters. The two graphs below compare Trump’s nearest neighbours under two representations of the same embedding: Discretized: each coordinate is thresholded before neighbours are calculated. This produces mostly generic political terms such as Mitt, Hillary, Pelosi, and Blair. Continuous: the original coordinates are retained. This produces a more specific group containing family members, staff, rivals, and presidents including Obama, Clinton, Bush, and Eisenhower. No prompting or text generation is involved; everything comes directly from GPT-2 Small’s learned token embeddings. submitted by /u/Limp-Contest-7309 [link] [Kommentare]
Just curious if anyone here bought any of the Lord of the Rings Web3 movie collectible(s) when it came out a few years back? submitted by /u/celestiashimmer8 [link] [Kommentare]
Hello, I recently finished reading this survey paper: Deep learning tackles single-cell analysis – A survey of deep learning for scRNA-seq analysis, which comprehensively covers 25 different methods across 6 subcategories for applying deep learning to scRNA-seq analysis. To summarize the methods from this paper, I prepared a table containing the Category, Method, Purpose, Architecture, Metrics, Explanation, and the specific Novelty of each method. I hope you find this summary useful. https://preview.redd.it/n3okgq66t1eh1.png?width=1662&format=png&auto=webp&s=fb71b306d3ffc346f243b04ccc9fe7a14076fbd7 https://preview.redd.it/njs5lq66t1eh1.png?width=1662&format=png&auto=webp&s=1dcdebbef3f2746b1e94f7182c9e4a11f10a7f12 https://preview.redd.it/zsv2yq66t1eh1.png?width=1662&format=png&auto=webp&s=05ecb58355b6a32a25d32cc25a2a9e500f9cd489 submitted by /u/teraRockstar [link] [Kommentare]
I'm 15 years old and this is my hexapod project I have been working on for the past year, I learned a ton from it. Here are its specs: -Build: Mostly 3D printed, I used a model from Aecert Robotics from youtube, I made some changes and improvements to the model such as the femur joints that connect to the servos. -Parts: 24 channel Pololu maestro board, 11.4v lipo battery, 12x25kg servos, and 6x35kg servos (for the femur joints because they're under the most load). Cheap android phone for the controller and gyroscope, and a DROK buck converter. -Software: I made a custom android app for the controller that connects via wifi or hotspot, you scan a QR code and it opens the controller on your phone. I used inverse kinematic equations for the hexapod so it has complete control over the leg and body movement. -Stabilizing: Using the gyroscope from the phone it can also self stabilize, it can even walk and self stabilize at the same time. -Walking gait: There are 5 walking gaits so far: Tripod, ripple, wave, triple, and a custom one I made to look like a spider. -I'm currently working on a high precision robot arm and I would love some feedback: About 4ft long and hopefully can lift around 5lb. I should have some videos soon. If you want to learn more about the hexapod or the arm you can see them at my portfolio. submitted by /u/Safe_Tone1529 [link] [Kommentare]
Hi everyone, I just uploaded my first tutorial video on YouTube and wanted to share it here to get your opinions about it. its very short and simple tutorial for the subject matter but I figured since I shared my scripts anyone who is interested would like consult an Ai chatbot for their specific questions and the main point of the video is the briefly explain the main concepts and how it all works within PyBullet. if you have free 7 minutes, I would appreciate your thought and opinions about the video so I can improve for upcoming videos. I know Genetic Algorithms are a bit yesteryears news but I remember watching a video about them on 2minutespapers YouTube channel years ago and since the moment I loaded my robot to PyBullet I wanted to try to implement the technique myself on my own project. Thats why its the subject of my first tutorial video. I am also sharing the links to my GitHub repo for the scripts here as well in case if you dont want to watch the video but still interested in implementing genetic algorithm for robotics in PyBullet. PyBullet Genetic Algorithm repo: https://github.com/serdarselimys/PyBullet-GeneticAlgorithm PyBullet HexaDog ZBD control repo: https://github.com/serdarselimys/HexaDogZBD-PybulletDemo For the next tutorial I am planning to cover Imitation Learning, again in PyBullet. Do you think thats an interesting subject?? I have been seeing a lot of videos on social media about manual laborers, mostly, textile workers are being made to wear POV cameras to capture their work to be used to train Neural Networks. I figured a tutorial explaining how digital movements are copied over to neural networks would be interesting. submitted by /u/Xerd-R [link] [Kommentare]
I asked ChatGPT and Claude what they would invest if they where to invest in 2 coins today along with the following details: - 20x + return - marketcap. Under 50M - Listed under 2 years - Audited - low amount of holders and more than 50% of the total available coins have to be diluted. Both came up with “Immunefi”. Claude also suggested Giza and ChatGPT mentioned Auki Labs. After looking at all three I wanted to buy some Immunefi. But based of what I could see since the launch it seems it’s not good and lost 97%. Now my question is, is this correct or is this common for newer coins? Or is it dead and a bad investment? submitted by /u/Tenter88 [link] [Kommentare]