π Master Data Science & Programming!
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π° Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
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π Machine Learning
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
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π§ Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA β perfect for learning, coding, and mastering key programming skills.
https://t.iss.one/DataScience4
π― PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.iss.one/DataScienceQ
πΎ Kaggle Data Hub
Your go-to hub for Kaggle datasets β explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.iss.one/datasets1
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π ML Research Hub
Advancing research in Machine Learning β practical insights, tools, and techniques for researchers.
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π¬ Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://t.iss.one/DataScience9
π Python Arab| Ψ¨Ψ§ΩΨ«ΩΩ ΨΉΨ±Ψ¨Ω
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.iss.one/PythonArab
π Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooksβinsights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://t.iss.one/DataScienceN
πΊ Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
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π Data Analytics
Dive into the world of Data Analytics β uncover insights, explore trends, and master data-driven decision making.
https://t.iss.one/DataAnalyticsX
π§ Learn Python Hub
Master Python with step-by-step courses β from basics to advanced projects and practical applications.
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Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.iss.one/CodeProgrammer
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://t.iss.one/DataScienceM
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA β perfect for learning, coding, and mastering key programming skills.
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Python Data Science jobs, interview tips, and career insights for aspiring professionals.
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Your go-to hub for Kaggle datasets β explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.iss.one/datasets1
The first channel in Telegram that offers free Udemy coupons
https://t.iss.one/DataScienceC
Advancing research in Machine Learning β practical insights, tools, and techniques for researchers.
https://t.iss.one/DataScienceT
An active community group for discussing data challenges and networking with peers.
https://t.iss.one/DataScience9
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.iss.one/PythonArab
Explore the world of Data Science through Jupyter Notebooksβinsights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
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Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.iss.one/DataScienceV
Dive into the world of Data Analytics β uncover insights, explore trends, and master data-driven decision making.
https://t.iss.one/DataAnalyticsX
Master Python with step-by-step courses β from basics to advanced projects and practical applications.
https://t.iss.one/Python53
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β€1
β¨Some Modalities are More Equal Than Others: Decoding and Architecting Multimodal Integration in MLLMs
π Summary:
MLLMs lack robustness to contradictory multimodal inputs. This work introduces MMA-Bench to analyze this brittleness and proposes a modality alignment tuning strategy. This strategy improves MLLMs robustness and cross-modal reasoning.
πΉ Publication Date: Published on Nov 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2511.22826
β’ PDF: https://arxiv.org/pdf/2511.22826
β’ Github: https://cskyl.github.io/MMA-Bench/
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#MLLMs #MultimodalAI #AIrobustness #CrossModalReasoning #MachineLearning
π Summary:
MLLMs lack robustness to contradictory multimodal inputs. This work introduces MMA-Bench to analyze this brittleness and proposes a modality alignment tuning strategy. This strategy improves MLLMs robustness and cross-modal reasoning.
πΉ Publication Date: Published on Nov 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2511.22826
β’ PDF: https://arxiv.org/pdf/2511.22826
β’ Github: https://cskyl.github.io/MMA-Bench/
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#MLLMs #MultimodalAI #AIrobustness #CrossModalReasoning #MachineLearning
β€1
β¨Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression
π Summary:
Deep Forcing is a training-free method that enhances real-time video diffusion for high-quality, long-duration generation. It uses Deep Sink for stable context and Participative Compression for efficient KV cache pruning, achieving over 12x extrapolation and improved consistency.
πΉ Publication Date: Published on Dec 4
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2512.05081
β’ PDF: https://arxiv.org/pdf/2512.05081
β’ Github: https://cvlab-kaist.github.io/DeepForcing/
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#VideoGeneration #DiffusionModels #TrainingFreeAI #DeepLearning #ComputerVision
π Summary:
Deep Forcing is a training-free method that enhances real-time video diffusion for high-quality, long-duration generation. It uses Deep Sink for stable context and Participative Compression for efficient KV cache pruning, achieving over 12x extrapolation and improved consistency.
πΉ Publication Date: Published on Dec 4
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2512.05081
β’ PDF: https://arxiv.org/pdf/2512.05081
β’ Github: https://cvlab-kaist.github.io/DeepForcing/
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#VideoGeneration #DiffusionModels #TrainingFreeAI #DeepLearning #ComputerVision
β€2
β¨A Theoretical Framework for Auxiliary-Loss-Free Load Balancing of Sparse Mixture-of-Experts in Large-Scale AI Models
π Summary:
This paper provides a theoretical framework for Auxiliary-Loss-Free Load Balancing ALF-LB in Sparse Mixture-of-Experts s-MoE layers. It analyzes ALF-LB as a primal-dual method, proving approximate-balancing guarantees and logarithmic regret for efficient expert utilization.
πΉ Publication Date: Published on Dec 3
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2512.03915
β’ PDF: https://arxiv.org/pdf/2512.03915
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#MixtureOfExperts #LoadBalancing #LargeScaleAI #DeepLearning #AIResearch
π Summary:
This paper provides a theoretical framework for Auxiliary-Loss-Free Load Balancing ALF-LB in Sparse Mixture-of-Experts s-MoE layers. It analyzes ALF-LB as a primal-dual method, proving approximate-balancing guarantees and logarithmic regret for efficient expert utilization.
πΉ Publication Date: Published on Dec 3
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2512.03915
β’ PDF: https://arxiv.org/pdf/2512.03915
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#MixtureOfExperts #LoadBalancing #LargeScaleAI #DeepLearning #AIResearch
β€2
β¨Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models
π Summary:
Unified Multimodal Generative Models UMGMs suffer severe intra- and inter-modal forgetting in continual learning. Modality-Decoupled Experts MoDE is proposed to mitigate this by decoupling modality-specific updates and using knowledge distillation. MoDE effectively prevents both types of forgetting.
πΉ Publication Date: Published on Dec 2
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2512.03125
β’ PDF: https://arxiv.org/pdf/2512.03125
β’ Github: https://github.com/Christina200/MoDE-official
β¨ Datasets citing this paper:
β’ https://huggingface.co/datasets/ChristinaW/MoDE-official
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#MultimodalAI #ContinualLearning #GenerativeAI #MachineLearning #AIResearch
π Summary:
Unified Multimodal Generative Models UMGMs suffer severe intra- and inter-modal forgetting in continual learning. Modality-Decoupled Experts MoDE is proposed to mitigate this by decoupling modality-specific updates and using knowledge distillation. MoDE effectively prevents both types of forgetting.
πΉ Publication Date: Published on Dec 2
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2512.03125
β’ PDF: https://arxiv.org/pdf/2512.03125
β’ Github: https://github.com/Christina200/MoDE-official
β¨ Datasets citing this paper:
β’ https://huggingface.co/datasets/ChristinaW/MoDE-official
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#MultimodalAI #ContinualLearning #GenerativeAI #MachineLearning #AIResearch
β€1
β¨Reflection Removal through Efficient Adaptation of Diffusion Transformers
π Summary:
This paper introduces a diffusion transformer DiT framework, adapted with LoRA, for single-image reflection removal. By using synthetic PBR data, this method achieves state-of-the-art performance, offering a scalable and high-fidelity solution.
πΉ Publication Date: Published on Dec 4
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2512.05000
β’ PDF: https://arxiv.org/pdf/2512.05000
β’ Project Page: https://huggingface.co/spaces/huawei-bayerlab/windowseat-reflection-removal-web
β’ Github: https://github.com/huawei-bayerlab/windowseat-reflection-removal
πΉ Models citing this paper:
β’ https://huggingface.co/huawei-bayerlab/windowseat-reflection-removal-v1-0
β¨ Spaces citing this paper:
β’ https://huggingface.co/spaces/huawei-bayerlab/windowseat-reflection-removal-web
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#ReflectionRemoval #DiffusionModels #ComputerVision #DeepLearning #AIResearch
π Summary:
This paper introduces a diffusion transformer DiT framework, adapted with LoRA, for single-image reflection removal. By using synthetic PBR data, this method achieves state-of-the-art performance, offering a scalable and high-fidelity solution.
πΉ Publication Date: Published on Dec 4
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2512.05000
β’ PDF: https://arxiv.org/pdf/2512.05000
β’ Project Page: https://huggingface.co/spaces/huawei-bayerlab/windowseat-reflection-removal-web
β’ Github: https://github.com/huawei-bayerlab/windowseat-reflection-removal
πΉ Models citing this paper:
β’ https://huggingface.co/huawei-bayerlab/windowseat-reflection-removal-v1-0
β¨ Spaces citing this paper:
β’ https://huggingface.co/spaces/huawei-bayerlab/windowseat-reflection-removal-web
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#ReflectionRemoval #DiffusionModels #ComputerVision #DeepLearning #AIResearch
arXiv.org
Reflection Removal through Efficient Adaptation of Diffusion Transformers
We introduce a diffusion-transformer (DiT) framework for single-image reflection removal that leverages the generalization strengths of foundation diffusion models in the restoration setting....
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β¨Light-X: Generative 4D Video Rendering with Camera and Illumination Control
π Summary:
Light-X is a video generation framework for controllable rendering from monocular videos with joint viewpoint and illumination control. It disentangles geometry and lighting using synthetic data for robust training, outperforming prior methods in both aspects.
πΉ Publication Date: Published on Dec 4
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2512.05115
β’ PDF: https://arxiv.org/pdf/2512.05115
β’ Project Page: https://lightx-ai.github.io/
β’ Github: https://github.com/TQTQliu/Light-X
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#VideoGeneration #ComputerVision #AI #NeuralRendering #GenerativeAI
π Summary:
Light-X is a video generation framework for controllable rendering from monocular videos with joint viewpoint and illumination control. It disentangles geometry and lighting using synthetic data for robust training, outperforming prior methods in both aspects.
πΉ Publication Date: Published on Dec 4
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2512.05115
β’ PDF: https://arxiv.org/pdf/2512.05115
β’ Project Page: https://lightx-ai.github.io/
β’ Github: https://github.com/TQTQliu/Light-X
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#VideoGeneration #ComputerVision #AI #NeuralRendering #GenerativeAI
β€1
β¨Step1X-Edit: A Practical Framework for General Image Editing
π Summary:
Step1X-Edit is a new image editing model combining multimodal LLM with a diffusion decoder. It significantly outperforms open-source models and approaches the quality of proprietary models like GPT-4o. This bridges the gap in general image editing capabilities.
πΉ Publication Date: Published on Apr 24
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2504.17761
β’ PDF: https://arxiv.org/pdf/2504.17761
β’ Github: https://github.com/stepfun-ai/Step1X-Edit
πΉ Models citing this paper:
β’ https://huggingface.co/stepfun-ai/Step1X-Edit
β’ https://huggingface.co/stepfun-ai/Step1X-Edit-v1p2
β’ https://huggingface.co/stepfun-ai/Step1X-Edit-v1p2-preview
β¨ Datasets citing this paper:
β’ https://huggingface.co/datasets/stepfun-ai/GEdit-Bench
β¨ Spaces citing this paper:
β’ https://huggingface.co/spaces/johnnyclem/stepfun-ai-Step1X-Edit
β’ https://huggingface.co/spaces/Osuii/stepfun-ai-Step1X-Edit
β’ https://huggingface.co/spaces/Paus/stepfun-ai-Step1X-Edit
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#ImageEditing #AI #LLM #DiffusionModels #ComputerVision
π Summary:
Step1X-Edit is a new image editing model combining multimodal LLM with a diffusion decoder. It significantly outperforms open-source models and approaches the quality of proprietary models like GPT-4o. This bridges the gap in general image editing capabilities.
πΉ Publication Date: Published on Apr 24
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2504.17761
β’ PDF: https://arxiv.org/pdf/2504.17761
β’ Github: https://github.com/stepfun-ai/Step1X-Edit
πΉ Models citing this paper:
β’ https://huggingface.co/stepfun-ai/Step1X-Edit
β’ https://huggingface.co/stepfun-ai/Step1X-Edit-v1p2
β’ https://huggingface.co/stepfun-ai/Step1X-Edit-v1p2-preview
β¨ Datasets citing this paper:
β’ https://huggingface.co/datasets/stepfun-ai/GEdit-Bench
β¨ Spaces citing this paper:
β’ https://huggingface.co/spaces/johnnyclem/stepfun-ai-Step1X-Edit
β’ https://huggingface.co/spaces/Osuii/stepfun-ai-Step1X-Edit
β’ https://huggingface.co/spaces/Paus/stepfun-ai-Step1X-Edit
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#ImageEditing #AI #LLM #DiffusionModels #ComputerVision
arXiv.org
Step1X-Edit: A Practical Framework for General Image Editing
In recent years, image editing models have witnessed remarkable and rapid development. The recent unveiling of cutting-edge multimodal models such as GPT-4o and Gemini2 Flash has introduced highly...
β€3
π Master Data Science & Programming!
Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
π° Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.iss.one/CodeProgrammer
π Machine Learning
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://t.iss.one/DataScienceM
π§ Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA β perfect for learning, coding, and mastering key programming skills.
https://t.iss.one/DataScience4
π― PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.iss.one/DataScienceQ
πΎ Kaggle Data Hub
Your go-to hub for Kaggle datasets β explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.iss.one/datasets1
π§βπ Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
https://t.iss.one/DataScienceC
π ML Research Hub
Advancing research in Machine Learning β practical insights, tools, and techniques for researchers.
https://t.iss.one/DataScienceT
π¬ Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://t.iss.one/DataScience9
π Python Arab| Ψ¨Ψ§ΩΨ«ΩΩ ΨΉΨ±Ψ¨Ω
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.iss.one/PythonArab
π Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooksβinsights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://t.iss.one/DataScienceN
πΊ Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.iss.one/DataScienceV
π Data Analytics
Dive into the world of Data Analytics β uncover insights, explore trends, and master data-driven decision making.
https://t.iss.one/DataAnalyticsX
π§ Learn Python Hub
Master Python with step-by-step courses β from basics to advanced projects and practical applications.
https://t.iss.one/Python53
βοΈ Research Papers
Professional Academic Writing & Simulation Services
https://t.iss.one/DataScienceY
ββββββββββββββββββ
Admin: @HusseinSheikho
Unlock your potential with this curated list of Telegram channels. Whether you need books, datasets, interview prep, or project ideas, we have the perfect resource for you. Join the community today!
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://t.iss.one/CodeProgrammer
Machine learning insights, practical tutorials, and clear explanations for beginners and aspiring data scientists. Follow the channel for models, algorithms, coding guides, and real-world ML applications.
https://t.iss.one/DataScienceM
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA β perfect for learning, coding, and mastering key programming skills.
https://t.iss.one/DataScience4
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://t.iss.one/DataScienceQ
Your go-to hub for Kaggle datasets β explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://t.iss.one/datasets1
The first channel in Telegram that offers free Udemy coupons
https://t.iss.one/DataScienceC
Advancing research in Machine Learning β practical insights, tools, and techniques for researchers.
https://t.iss.one/DataScienceT
An active community group for discussing data challenges and networking with peers.
https://t.iss.one/DataScience9
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://t.iss.one/PythonArab
Explore the world of Data Science through Jupyter Notebooksβinsights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://t.iss.one/DataScienceN
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://t.iss.one/DataScienceV
Dive into the world of Data Analytics β uncover insights, explore trends, and master data-driven decision making.
https://t.iss.one/DataAnalyticsX
Master Python with step-by-step courses β from basics to advanced projects and practical applications.
https://t.iss.one/Python53
Professional Academic Writing & Simulation Services
https://t.iss.one/DataScienceY
ββββββββββββββββββ
Admin: @HusseinSheikho
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β€1
β¨From Pixels to Words -- Towards Native Vision-Language Primitives at Scale
π Summary:
NEO is a novel family of native Vision-Language Models built from first principles. It unifies vision and language, aligning pixels and words in a shared semantic space. NEO achieves competitive performance with limited data while efficiently developing visual perception from scratch.
πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.14979
β’ PDF: https://arxiv.org/pdf/2510.14979
β’ Github: https://github.com/EvolvingLMMs-Lab/NEO
πΉ Models citing this paper:
β’ https://huggingface.co/Paranioar/NEO1_0-2B-SFT
β’ https://huggingface.co/Paranioar/NEO1_0-9B-SFT
β’ https://huggingface.co/Paranioar/NEO1_0-2B-PT
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#VisionLanguageModels #MultimodalAI #DeepLearning #ComputerVision #AIREsearch
π Summary:
NEO is a novel family of native Vision-Language Models built from first principles. It unifies vision and language, aligning pixels and words in a shared semantic space. NEO achieves competitive performance with limited data while efficiently developing visual perception from scratch.
πΉ Publication Date: Published on Oct 16
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.14979
β’ PDF: https://arxiv.org/pdf/2510.14979
β’ Github: https://github.com/EvolvingLMMs-Lab/NEO
πΉ Models citing this paper:
β’ https://huggingface.co/Paranioar/NEO1_0-2B-SFT
β’ https://huggingface.co/Paranioar/NEO1_0-9B-SFT
β’ https://huggingface.co/Paranioar/NEO1_0-2B-PT
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#VisionLanguageModels #MultimodalAI #DeepLearning #ComputerVision #AIREsearch
β€1
Forwarded from Research Papers
π₯ Exclusive Christmas Offer β Limited Q1 Papers Available π₯
For the first time ever, a limited number of Q1-level research papers (ready to submit) are being released with a special Christmas discount β only $400 each.
These are high-quality, publication-ready works in premium fields, available only until Christmas, and once they're goneβ¦ theyβre gone.
If you want:
βοΈ A strong title
βοΈ Full details
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βοΈ And everything you need to move forward
Just send me a message.
π This offer will NOT be repeated.
DM me for the titles and complete info before the slots close.
@Omidyzd62
For the first time ever, a limited number of Q1-level research papers (ready to submit) are being released with a special Christmas discount β only $400 each.
These are high-quality, publication-ready works in premium fields, available only until Christmas, and once they're goneβ¦ theyβre gone.
If you want:
βοΈ A strong title
βοΈ Full details
βοΈ Scope, structure & summary
βοΈ And everything you need to move forward
Just send me a message.
π This offer will NOT be repeated.
DM me for the titles and complete info before the slots close.
@Omidyzd62
β€4
π€π§ Supervised Reinforcement Learning: A New Era of Step-Wise Reasoning in AI
ποΈ 23 Nov 2025
π AI News & Trends
In the evolving landscape of artificial intelligence, large language models (LLMs) like GPT, Claude and Qwen have demonstrated remarkable abilities from generating human-like text to solving complex problems in mathematics, coding, and logic. Yet, despite their success, these models often struggle with multi-step reasoning, especially when each step depends critically on the previous one. Traditional ...
#SupervisedReinforcementLearning #StepWiseReasoning #ArtificialIntelligence #LargeLanguageModels #MultiStepReasoning #AIBreakthrough
ποΈ 23 Nov 2025
π AI News & Trends
In the evolving landscape of artificial intelligence, large language models (LLMs) like GPT, Claude and Qwen have demonstrated remarkable abilities from generating human-like text to solving complex problems in mathematics, coding, and logic. Yet, despite their success, these models often struggle with multi-step reasoning, especially when each step depends critically on the previous one. Traditional ...
#SupervisedReinforcementLearning #StepWiseReasoning #ArtificialIntelligence #LargeLanguageModels #MultiStepReasoning #AIBreakthrough
β¨Real-Time Object Detection Meets DINOv3
π Summary:
DEIMv2 extends DEIM with DINOv3 features, achieving superior real-time object detection across GPU, edge, and mobile. It uses a Spatial Tuning Adapter and pruned HGNetv2 for diverse models, setting new state of the art with impressive performance-cost trade-offs.
πΉ Publication Date: Published on Sep 25
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2509.20787
β’ PDF: https://arxiv.org/pdf/2509.20787
β’ Project Page: https://intellindust-ai-lab.github.io/projects/DEIMv2/
β’ Github: https://github.com/Intellindust-AI-Lab/DEIMv2
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#ObjectDetection #RealTimeAI #ComputerVision #MachineLearning #EdgeAI
π Summary:
DEIMv2 extends DEIM with DINOv3 features, achieving superior real-time object detection across GPU, edge, and mobile. It uses a Spatial Tuning Adapter and pruned HGNetv2 for diverse models, setting new state of the art with impressive performance-cost trade-offs.
πΉ Publication Date: Published on Sep 25
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2509.20787
β’ PDF: https://arxiv.org/pdf/2509.20787
β’ Project Page: https://intellindust-ai-lab.github.io/projects/DEIMv2/
β’ Github: https://github.com/Intellindust-AI-Lab/DEIMv2
==================================
For more data science resources:
β https://t.iss.one/DataScienceT
#ObjectDetection #RealTimeAI #ComputerVision #MachineLearning #EdgeAI
π€π§ CALM: Revolutionizing Large Language Models with Continuous Autoregressive Learning
ποΈ 23 Nov 2025
π AI News & Trends
Large Language Models (LLMs) such as GPT, Claude and Gemini have dramatically transformed artificial intelligence. From generating natural text to assisting in code and research, these models rely on one fundamental process: autoregressive generation predicting text one token at a time. However, this sequential nature poses a critical efficiency bottleneck. Generating text token by token ...
#CALM #ContinuousAutoregressiveLearning #LargeLanguageModels #AutoregressiveGeneration #AIEfficiency #AIInnovation
ποΈ 23 Nov 2025
π AI News & Trends
Large Language Models (LLMs) such as GPT, Claude and Gemini have dramatically transformed artificial intelligence. From generating natural text to assisting in code and research, these models rely on one fundamental process: autoregressive generation predicting text one token at a time. However, this sequential nature poses a critical efficiency bottleneck. Generating text token by token ...
#CALM #ContinuousAutoregressiveLearning #LargeLanguageModels #AutoregressiveGeneration #AIEfficiency #AIInnovation
π€π§ Agent-o-rama: The End-to-End Platform Transforming LLM Agent Development
ποΈ 23 Nov 2025
π AI News & Trends
As large language models (LLMs) become more capable, developers are increasingly using them to build intelligent AI agents that can perform reasoning, automation and decision-making tasks. However, building and managing these agents at scale is far from simple. Challenges such as monitoring model behavior, debugging reasoning paths, testing reliability and tracking performance metrics can make ...
#AgentoRama #LLMAgents #EndToEndPlatform #AIIntelligence #ModelMonitoring #AIDevelopment
ποΈ 23 Nov 2025
π AI News & Trends
As large language models (LLMs) become more capable, developers are increasingly using them to build intelligent AI agents that can perform reasoning, automation and decision-making tasks. However, building and managing these agents at scale is far from simple. Challenges such as monitoring model behavior, debugging reasoning paths, testing reliability and tracking performance metrics can make ...
#AgentoRama #LLMAgents #EndToEndPlatform #AIIntelligence #ModelMonitoring #AIDevelopment
Forwarded from Machine Learning with Python
Our Group on Signal (only for Programmers)
https://signal.group/#CjQKIPcpEqLQow53AG7RHjeVk-4sc1TFxyym3r0gQQzV-OPpEhCPw_-kRmJ8LlC13l0WiEfp
https://signal.group/#CjQKIPcpEqLQow53AG7RHjeVk-4sc1TFxyym3r0gQQzV-OPpEhCPw_-kRmJ8LlC13l0WiEfp
π€π§ DeepEyesV2: The Next Leap Toward Agentic Multimodal Intelligence
ποΈ 23 Nov 2025
π AI News & Trends
The evolution of artificial intelligence has reached a stage where models are no longer limited to understanding text or images independently. The emergence of multimodal AI systems capable of processing and reasoning across multiple types of data has transformed how machines interpret the world. Yet, most existing multimodal models remain passive observers, unable to act ...
#DeepEyesV2 #AgenticMultimodalIntelligence #MultimodalAI #AIEvolution #ActiveReasoning #AIAction
ποΈ 23 Nov 2025
π AI News & Trends
The evolution of artificial intelligence has reached a stage where models are no longer limited to understanding text or images independently. The emergence of multimodal AI systems capable of processing and reasoning across multiple types of data has transformed how machines interpret the world. Yet, most existing multimodal models remain passive observers, unable to act ...
#DeepEyesV2 #AgenticMultimodalIntelligence #MultimodalAI #AIEvolution #ActiveReasoning #AIAction
π€π§ Reducing Hallucinations in Vision-Language Models: A Step Forward with VisAlign
ποΈ 24 Nov 2025
π AI News & Trends
As artificial intelligence continues to evolve, Large Vision-Language Models (LVLMs) have revolutionized how machines understand and describe the world. These models combine visual perception with natural language understanding to perform tasks such as image captioning, visual question answering and multimodal reasoning. Despite their success, a major problem persists β hallucination. This issue occurs when a ...
#VisAlign #ReducingHallucinations #VisionLanguageModels #LVLMs #MultimodalAI #AISafety
ποΈ 24 Nov 2025
π AI News & Trends
As artificial intelligence continues to evolve, Large Vision-Language Models (LVLMs) have revolutionized how machines understand and describe the world. These models combine visual perception with natural language understanding to perform tasks such as image captioning, visual question answering and multimodal reasoning. Despite their success, a major problem persists β hallucination. This issue occurs when a ...
#VisAlign #ReducingHallucinations #VisionLanguageModels #LVLMs #MultimodalAI #AISafety
π€π§ LEANN: The Bright Future of Lightweight, Private, and Scalable Vector Databases
ποΈ 24 Nov 2025
π AI News & Trends
In the rapidly expanding world of artificial intelligence, data storage and retrieval efficiency have become major bottlenecks for scalable AI systems. The growth of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) has further intensified the demand for fast, private and space-efficient vector databases. Traditional systems like FAISS or Milvus while powerful, are resource-heavy and ...
#LEANN #LightweightVectorDatabases #PrivateAI #ScalableAI #RAG #AIDataStorage
ποΈ 24 Nov 2025
π AI News & Trends
In the rapidly expanding world of artificial intelligence, data storage and retrieval efficiency have become major bottlenecks for scalable AI systems. The growth of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) has further intensified the demand for fast, private and space-efficient vector databases. Traditional systems like FAISS or Milvus while powerful, are resource-heavy and ...
#LEANN #LightweightVectorDatabases #PrivateAI #ScalableAI #RAG #AIDataStorage
π€π§ Omnilingual ASR: Metaβs Breakthrough in Multilingual Speech Recognition for 1600+ Languages
ποΈ 24 Nov 2025
π AI News & Trends
In an increasingly connected world, speech technology plays a vital role in bridging communication gaps across languages and cultures. Yet, despite rapid progress in Automatic Speech Recognition (ASR), most commercial systems still cater to only a few dozen major languages. Billions of people who speak lesser-known or low-resource languages remain excluded from the benefits of ...
#OmnilingualASR #MultilingualSpeechRecognition #MetaAI #LowResourceLanguages #SpeechTechnology #GlobalCommunication
ποΈ 24 Nov 2025
π AI News & Trends
In an increasingly connected world, speech technology plays a vital role in bridging communication gaps across languages and cultures. Yet, despite rapid progress in Automatic Speech Recognition (ASR), most commercial systems still cater to only a few dozen major languages. Billions of people who speak lesser-known or low-resource languages remain excluded from the benefits of ...
#OmnilingualASR #MultilingualSpeechRecognition #MetaAI #LowResourceLanguages #SpeechTechnology #GlobalCommunication
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