There are coordinated efforts where people have favoured and jeopardised the double blind review process. No doubt out of these 80% there are great talent but we have to acknowledge that non chinese have been sobotaged and this was also reflected in the recent leaks of the reviewer data from the top ml conferences (won’t name them but they start with i). I have also personally faced such discrimination and had a discussion on the subreddit asking others if they have witnessed something similar. It was shocking to know that this is occurring on large scale. The question is how do we stop it, or highlight this? We have to preserve the sanctity of the research. submitted by /u/AppropriatePush6262 [link] [Kommentare]
I work as a surgical positioning specialist in an OR. Every day, my job is to make sure patients are positioned correctly during surgery. Wrong positioning = nerve damage, pressure necrosis, joint stress. Even then – the human body can compensate. It regenerates blood flow, heals tissue, adapts. A household robot can’t do any of that. Think about it like a motorcycle or a car: • Store your bike wrong over winter → flat tires, dry seals, dead battery • Wrong tire pressure for months → uneven wear, handling issues • A robot stored or „parked” incorrectly → joint stress, cable fatigue, sensor drift, premature wear Household robots like NEO, Tesla Optimus or LG CLOiD are coming to our homes within the next 2–3 years. They’ll cost $10,000–$20,000+. Nobody is talking about how to store, position and maintain them correctly at home. That’s the gap I’m here to fill – applying 2+ years of OR knowledge to household robotics. Question for the community: Would you trust a $20,000 robot to just „stand in the corner” without thinking about positioning and wear? submitted by /u/Commercial_Towel_352 [link] [Kommentare]
First-time poster here. I wanted to share a side project I’ve been working on that may be useful for robotics / research workflows. I built a headless toolkit for VIVE Trackers, which supports VIVE Tracker 3.0, Vive wands and VIVE Ultimate Trackers (SLAM). It streams live pose data over WebSocket, so tracker position / rotation can be used by other applications without needing a HMD. Tool kit also includes an MCP server, so the tracker data can be fed directly into agentic workflows / AI tools. GitHub: https://github.com/nandunabey/VT-Headless-SDK Disclaimer: I do work for VIVE, but this is not an official HTC / VIVE project. This is just a personal side project I built mainly to support a few research groups and to explore what’s possible. I come from more of a Product background than a developer background, so feedback, suggestions would be very welcome. submitted by /u/nadsblabla [link] [Kommentare]
Hi all, I have been working on this method based on a hunch along with many llm for quite some time. Though first it was being engineered by me but I was learning in supervised ml area but this hunch took to semi-supervised ml and that to too deep. I then became llm orchestrator of sort while 4 llm's tried to figure it out. I put up a live demo on Hugging Face Spaces where you can try it yourself — set the number of labels, click run, see the accuracy. No installation, no code required. Brief about method Optimus — Graph SSL under Extreme Label Scarcity Key Results (PathMNIST, N=2000, 9 classes) Labels Total Optimus GCN 9(1 per class) 73.9 60.6 27(3 per class) 77.3 68.5 45(5 per class) 79.8 77.1 https://huggingface.co/spaces/Keshu007/optimus-graph-ssl Edit : You can can even run the code on your own dataset submitted by /u/Loner_Indian [link] [Kommentare]
Multiplayer DIY robot where you learn mechanics and engineering...600+ parts and 6 hour build time. It has custom electronics, bb gun mechanism and piezo equipped plates for hit detection. You controll it via mobile app and can have up to 8 tanks in multiplayer game submitted by /u/Iron_Fleet_Support [link] [Kommentare]