AI with Papers - Artificial Intelligence & Deep Learning
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All the AI with papers. Every day fresh updates about #DeepLearning #MachineLearning #LLM & #ComputerVision

Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/

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"Joint Background Reconstruction and Foreground Segmentation via A Two-stage Convolutional Neural Network
" outperform by 4.9% the current state of the art in foreground detection | https://arxiv.org/pdf/1707.07584.pdf

#paper #deeplearning
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Further improvements in the DNN module include faster R-CNN support, Javascript bindings and acceleration of OpenCL implementation.

#OpenCV 3.4 straight to #DeepLearning | https://opencv.org/opencv-3-4.html
How we are changing the client's pipeline with #ArtificialIntelligence

- LEFT: fully human | human release, 2016-2017
- CENTER: #AI + human | alpha release, Q1 2018
- RIGHT: #AI + human | beta release, est. Q3 2018

#DeepLearning #MachineLearning #convergeAI #VR
⚑️ The best #AI of the week: #deeplearning, #computervision & #NLP free resources from across the internet in one place, every week. ⚑️

πŸ’‘ Google | Face and Hand tracking in the browser with MediaPipe and TensorFlow: https://lnkd.in/dQRSB7U

πŸ’‘ Berkeley | Speeding Up Transformer Training and Inference By Increasing Model Size: https://lnkd.in/dV5qZ4S

πŸ’‘ CVPR-2020 | Zero-shot video classification by end-to-end training of 3D convolutional neural networks: https://lnkd.in/djs98Ew

πŸ’‘ Google | Connecting Vision and Language with Localized Narratives: https://lnkd.in/dD6hjUq

More: https://www.linkedin.com/feed/update/urn:li:activity:6643790787312140288
⚑️ The best #AI of the week: #deeplearning, #computervision & #NLP free resources from across the internet in one place, every week. ⚑️

πŸ’‘ MIT | How to make a pizza - Learning a compositional layer-based GAN model: https://lnkd.in/gFaVgnR

More: https://www.linkedin.com/feed/update/urn:li:activity:6645227487855022080
πŸ’₯πŸ’₯60,000$ from Huawei to push self-#AI to the next levelπŸ’₯πŸ’₯

βœ…Real-world dataset with 10+ Million images
βœ…5k labeled images for #deeplearning training
βœ…5K/10K validation/test labeled pics for evaluation
βœ…Workshop: "Self-supervised Autonomous Driving"
βœ…2D & 3D object detection / #continuallearning
βœ…Challenge prizes: total 60,000$

More: https://www.linkedin.com/posts/visionarynet_selfdrivingcars-ai-deeplearning-activity-6828287448963956736-Lizu
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⚽ Zero to #Messi with #deeplearning ⚽

πŸ‘‰EA unveils a neural system to learn multiple soccer juggling skills 😍

𝐇𝐒𝐠𝐑π₯𝐒𝐠𝐑𝐭𝐬:
βœ…Learning difficult soccer juggling skills
βœ…Layer-wise mixture-of-experts architecture
βœ…Specialization arises naturally
βœ…Adaptive random walk training strategy

More: https://bit.ly/3mwRaL2
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πŸ”₯ Hu.ma.ne #AI Pin is out! πŸ”₯

πŸ‘‰Hu.ma.ne just launched #AI Pin: the new standalone AI-powered screenless device. Running on the GPT-4 LLMs, suitable for real-time translation. #AI-powered camera and laser projector

😎 More https://t.ly/IvoN7
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πŸ‘ΉAI and the Everything in the Whole Wide World BenchmarkπŸ‘Ή

πŸ‘‰Last week Yann LeCun said something like "LLMs will not reach human intelligence". It's clear the on-going #deeplearning is not ready for "general AI", a "radical alternative" is necessary to create a β€œsuperintelligence”.

πŸ‘‰Review https://t.ly/isdxM
πŸ‘‰News https://lnkd.in/dFraieZS
πŸ‘‰Paper https://lnkd.in/da-7PnVT
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πŸ‰ #DoubleDragon with #AI πŸ‰

πŸ‘‰How Double Dragon would look like in real life? Each character has been transformed with #AI to capture their style, fighting spirit, and charisma, as if they had stepped right out of the game’s streets into the real world. AUDIO ON. Damn romanticπŸ’™

#artificialintelligence #machinelearning #ml #AI #deeplearning #computervision #AIwithPapers #metaverse #LLM

πŸ‘‰Post https://t.ly/0IpER
πŸ‘‰Channel http://www.youtube.com/@iaiaoh84
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πŸ”₯ New #AI Startups in 2026? πŸ”₯

In 2026, which area would you focus on?
πŸ€–Agents β†’ workflows, copilots, etc.
🏭Vertical AI β†’ Pharma, Automotive, Energy ...
🧠Infrastructure β†’ MLOps, Security, Cost Control ...
🎨AI for Creators/Media β†’ Video, avatars, contents ...

Please, help me understanding what's next with this poll on LinkedIn :)

https://www.linkedin.com/posts/visionarynet_ai-ai-deeplearning-activity-7415377341779996672-sQO1

LUV U \m/
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πŸ”₯πŸ”₯ Marigold V2 is out πŸ”₯πŸ”₯

πŸ‘‰Marigold V2 is out: depth, (impressive) see-through depth, surface normals, albedo, and other dense modalities. SOTA results. Repo under Apache 2.0πŸ’™

#AI #deeplearning #AIwithPapers

πŸ‘‰Review https://lnkd.in/p/eKM44yDQ
πŸ‘‰Paper https://arxiv.org/pdf/2609.08084
πŸ‘‰Repo https://github.com/huawei-bayerlab/marigold-v2
πŸ‘‰Project https://huggingface.co/spaces/huawei-bayerlab/marigold-v2-web
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