Salim Khazem
@salimkhazemPhD Candidate in Artificial Intelligence & Computer Vision @GeorgiaTech - @CNRS & @centralesupelec | Deep & Machine Learning enthusiast | 4 x Kaggle Expert.
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Comparing models in brain-computer interfaces is quite super complicated! There are many unavailable datasets and methodological errors in machine learning and neuroscience part. We are happy to release a paper to help the area with the Mother of all BCI Benchmarks (MOABB)!
This week I had the pleasure & opportunity to present our new paper: « Improving Knot prediction in wood logs with longitudinal feature propagation » at ICVS conference in Vienna, Austria I used ConvLSTM layers on encoder decoder based architecture Paper: arxiv.org/pdf/2308.11291…
Announcing GPT-4, a large multimodal model, with our best-ever results on capabilities and alignment: openai.com/product/gpt-4
🤗 @HuggingFace’s @GuggerSylvain says, "with just one line of code to add, PyTorch 2.0 gives a speedup between 1.5x-2x in training Transformers models. This is the most exciting thing since mixed precision training was introduced!" Read more 👇 #PyTorchConference
I think I forgot to update my profile : I'm very delighted to announce that i joined GeorgiaTech - CNRS to do my PhD on Artificial Intelligence & Computer vision few months ago. #artificialintelligence #computervision #phd #deeplearning #machinelearning #datascientist
These visualizations are mesmerizing!
Alias-Free GAN pdf: nvlabs-fi-cdn.nvidia.com/alias-free-gan… project page: nvlabs.github.io/alias-free-gan/ networks match the FID of StyleGAN2 but differ dramatically in their internal representations, and they are fully equivariant to translation and rotation even at subpixel scales
Very delightful to became @kaggle competition expert after 3 month of activity #DataScientist #MachineLearning #deeplearning #ArtificialIntelligence #Kaggle
Our research paper titled "Minimizing Subject-dependent Calibration for BCI with Riemannian Transfer Learning" has been published in the 10th International IEEE/EMBS Conference on Neural Engineering (NER) 2021 hal.archives-ouvertes.fr/hal-03202360 #MachineLearning #MLResearch #DataScience #DL
I'd guess I'd summarize it as, being a "deep learning expert" in 2021 is like being a "medicine expert" in 1800. You know a lot less than you think, and most of what you think you know is wrong. Just keep learning and experimenting, and don't play stupid status games.
Touch down perseverance Congratulations #NASA #Perseverance #JPL
Amazing work ✊
It's pretty awesome how dancing makes robots less intimidating. Looking forward to seeing more nontrivial Machine Learning on these robots. Credit: Boston Dynamics.
Implementation of deep learning algorithms on embedded systems for Real time object detection and tracking using camera and servomotors #deeplearning #machinelearning #ml #artificialintelligence #robotics #embeddedsystems #automation #ai #innovation #CNN #NeuralNetwork #tech
Implementation of machine learning algorithms on RC Robotic Arm for multiples tasks #robotics #deeplearning #machinelearning #robot #artificialintelligence #automation #ArtificialIntelligence #AI #systems #programming #dev #coding
NVIDIA to Acquire Arm for $40 Billion, Creating World’s Premier Computing Company for the Age of AI. nvda.ws/2Rk5RRY
Memories... #GDG #devfest #programming #Google #developer @keliousabdelhak
Utilisation de la #actuiaNCS2 pour développer un Bras bionique avec les systèmes embarqués. #actuiaNCS2 #Intel #Robotics
#ETonomy, lauréat du Hackathon E-Tonomy , ça a été une agréable expérience #Hackathon #Winner #Robotics #ÎleDeFrance #Ambition
Lors de la conférence que j'ai eu le plaisir d'animer, qui porte sur la thématique "Systèmes embarqués et prototypage". J'ai eu également le plaisir d'encadrer un atelier portant sur "l’initiation aux cartes de développement Arduino". Ce fut une merveilleuse expérience.
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