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Marius Slavescu
STEMCA Inventor co-author, robotics/STEM education and DIY/maker platform, Founder of GTA Robotics community and Open Source Self Driving Car project
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Marius Slavescu 9h
Replying to @reillybrennan
That it has been tested extensively at scale in the field, by external SDC expert companies, not interested to promote the product, including by open source SDC testing platforms. And the constrains and limitations are clearly stipulated.
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Communitech Jun 24
Are you an Ontario based start-up or SME developing data driven mapping technology? You could be eligible in earning up to $50,000 from AVIN Ventures to support further development of your products and services! Apply today -
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Yann LeCun Jun 23
resnext101_32x8d_wsl: the ConvNet pre-trained on Instagram hashtags and fine-tuned on ImageNet, yielding a record-breaking 85.4% top-1 accuracy is now available.
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Marius Slavescu Jun 23
8.5" Hoverboard motor controlled by Arduino with MCP4725 DAC and 350W BLDC sensorless controller My son helped with soldering the pins on MCP4725 DAC, the rest was easy :-) Next step is to mount it on the la…
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François Chollet Jun 19
Hyperparameter tuning magic
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Marius Slavescu Jun 21
Replying to @karpathy
This is great news! I'd like to see more unsupervized learning from videos, considering objects geometry and physics. Could you recommend anything robust enough to be applied to ? I'm trying to automatically segment moving objects in videos with moving camera.
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Andrej Karpathy Jun 20
An interesting trend from this year's CVPR are the numerous new papers on self-supervised learning. Andrew Zisserman gave a nice tutorial: although, there is a lot more geometry-related work as well (e.g. self-supervised depth & friends).
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Quoc Le Jun 19
XLNet: a new pretraining method for NLP that significantly improves upon BERT on 20 tasks (e.g., SQuAD, GLUE, RACE) arxiv: github (code + pretrained models): with Zhilin Yang, , Yiming Yang, Jaime Carbonell,
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Marius Slavescu Jun 19
Impressive demonstration of Centeye Nano Drone with Obstacle Avoidance November 2016 Check here more ideas with these ultra light weight/power stereo vision sensors: Flexible Acuity Vision Chip for UAS, Rob…
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Oliver Cameron Jun 17
🚨 New video! At , we are building driverless cars for those who need it most. Watch this video to see our progress. Our team has put enormous energy into delivering on that promise with state-of-the-art technology. I get teary eyed watching this one. They are the best.
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Marius Slavescu Jun 16
Build your own () (kart)! Check this new video from for some ideas and components: If you are in Toronto/GTA area join our GTA Robotics meetup and and we can work together!
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Marius Slavescu Jun 16
Very interesting video by with both toy and mid size research platforms from Zürich university:
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Marius Slavescu Jun 16
Replying to @hardmaru
With kids is a bit more difficult as their look changes fast in first years. I'm curios how this system handles that kind of change? Also how resilient is to fakes, one kid impersonating another? Do they also have some RF-id card for validation? Or they localize kids phones too?
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hardmaru Jun 14
When they grow up they’ll think it’s normal.
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Marius Slavescu Jun 14
Replying to @laanlabs
Amazing results! The hand is very good! Are you using a dual camera IPhone? Did you try the same idea on Android ? On phones with dual cameras?
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Marius Slavescu Jun 14
Replying to @laanlabs
Super cool! This has tons of applications! Some initial ideas: Please share details on how to get it working (on Android aso). Would be very cool to have a demo with drone, win one free here:
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Marius Slavescu Jun 14
Apply here to win a really cool DJI drone and show off your drone skills programmatically! 2 days left to register!…
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Laan Labs 28 May 18
For ~35$ ( and an extra iphone ) you can have a pretty cool home robot that uses ARKit for localization. ARKit and ARCore open up fun possibilities for phone based bots: Room mapping, obstacle avoidance, object recognition, etc. 🤖👍
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Laan Labs Jun 13
Some ARKit 3 body segmentation experiments
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Marius Slavescu Jun 11
Replying to @adnothing
Impressive results! How hard would be to move to unsupervized on-line learning on unlabeled data? Based on dense optical flow and objects' contour/scale/occlusion detection across several consecutive frames. See my comment on the video, for some good test videos (unlabeled also).
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