✨Learning Unmasking Policies for Diffusion Language Models
📝 Summary:
Reinforcement learning is used to train sampling procedures for masked discrete diffusion language models, improving token throughput and quality compared to heuristic strategies. AI-generated summary...
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09106
• PDF: https://arxiv.org/pdf/2512.09106
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
Reinforcement learning is used to train sampling procedures for masked discrete diffusion language models, improving token throughput and quality compared to heuristic strategies. AI-generated summary...
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09106
• PDF: https://arxiv.org/pdf/2512.09106
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨Reinventing Clinical Dialogue: Agentic Paradigms for LLM Enabled Healthcare Communication
📝 Summary:
The survey analyzes the cognitive architecture of medical AI systems, focusing on the shift from generative text prediction to agentic autonomy, and categorizes methods into four archetypes based on k...
🔹 Publication Date: Published on Dec 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.01453
• PDF: https://arxiv.org/pdf/2512.01453
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
The survey analyzes the cognitive architecture of medical AI systems, focusing on the shift from generative text prediction to agentic autonomy, and categorizes methods into four archetypes based on k...
🔹 Publication Date: Published on Dec 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.01453
• PDF: https://arxiv.org/pdf/2512.01453
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨HiF-VLA: Hindsight, Insight and Foresight through Motion Representation for Vision-Language-Action Models
📝 Summary:
HiF-VLA improves long-horizon robotic manipulation by using motion for bidirectional temporal reasoning. It addresses VLA model temporal myopia by integrating past dynamics hindsight and anticipating future motion foresight. This framework significantly outperforms baselines with negligible latency.
🔹 Publication Date: Published on Dec 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09928
• PDF: https://arxiv.org/pdf/2512.09928
• Project Page: https://github.com/OpenHelix-Team/HiF-VLA
• Github: https://hifvla.github.io/
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
HiF-VLA improves long-horizon robotic manipulation by using motion for bidirectional temporal reasoning. It addresses VLA model temporal myopia by integrating past dynamics hindsight and anticipating future motion foresight. This framework significantly outperforms baselines with negligible latency.
🔹 Publication Date: Published on Dec 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09928
• PDF: https://arxiv.org/pdf/2512.09928
• Project Page: https://github.com/OpenHelix-Team/HiF-VLA
• Github: https://hifvla.github.io/
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨Pay Less Attention to Function Words for Free Robustness of Vision-Language Models
📝 Summary:
Function-word De-Attention (FDA) mitigates adversarial attacks on robust VLMs by differentially subtracting function-word cross-attention, improving robustness with minimal performance trade-offs. AI-...
🔹 Publication Date: Published on Dec 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.07222
• PDF: https://arxiv.org/pdf/2512.07222
• Github: https://github.com/michaeltian108/FDA
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
Function-word De-Attention (FDA) mitigates adversarial attacks on robust VLMs by differentially subtracting function-word cross-attention, improving robustness with minimal performance trade-offs. AI-...
🔹 Publication Date: Published on Dec 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.07222
• PDF: https://arxiv.org/pdf/2512.07222
• Github: https://github.com/michaeltian108/FDA
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨Fast-Decoding Diffusion Language Models via Progress-Aware Confidence Schedules
📝 Summary:
SchED, a training-free early-exit algorithm, accelerates diffusion large language model decoding with minimal performance loss across various tasks. AI-generated summary Diffusion large language model...
🔹 Publication Date: Published on Dec 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.02892
• PDF: https://arxiv.org/pdf/2512.02892
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
SchED, a training-free early-exit algorithm, accelerates diffusion large language model decoding with minimal performance loss across various tasks. AI-generated summary Diffusion large language model...
🔹 Publication Date: Published on Dec 2
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.02892
• PDF: https://arxiv.org/pdf/2512.02892
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨InfiniteVL: Synergizing Linear and Sparse Attention for Highly-Efficient, Unlimited-Input Vision-Language Models
📝 Summary:
InfiniteVL is a linear-complexity VLM architecture combining sliding window attention and Gated DeltaNet. It surpasses prior linear models and matches leading Transformers with less data, achieving over 3.6 times faster inference and robust long-term memory.
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08829
• PDF: https://arxiv.org/pdf/2512.08829
• Project Page: https://github.com/hustvl/InfiniteVL
• Github: https://github.com/hustvl/InfiniteVL
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
InfiniteVL is a linear-complexity VLM architecture combining sliding window attention and Gated DeltaNet. It surpasses prior linear models and matches leading Transformers with less data, achieving over 3.6 times faster inference and robust long-term memory.
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08829
• PDF: https://arxiv.org/pdf/2512.08829
• Project Page: https://github.com/hustvl/InfiniteVL
• Github: https://github.com/hustvl/InfiniteVL
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨EtCon: Edit-then-Consolidate for Reliable Knowledge Editing
📝 Summary:
A novel knowledge editing framework, Edit-then-Consolidate, addresses overfitting and lack of knowledge integration in large language models through targeted fine-tuning and policy optimization, enhan...
🔹 Publication Date: Published on Dec 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.04753
• PDF: https://arxiv.org/pdf/2512.04753
• Github: https://github.com/RlinL/EtCon
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
A novel knowledge editing framework, Edit-then-Consolidate, addresses overfitting and lack of knowledge integration in large language models through targeted fine-tuning and policy optimization, enhan...
🔹 Publication Date: Published on Dec 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.04753
• PDF: https://arxiv.org/pdf/2512.04753
• Github: https://github.com/RlinL/EtCon
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
✨Beyond Unified Models: A Service-Oriented Approach to Low Latency, Context Aware Phonemization for Real Time TTS
📝 Summary:
A framework is proposed to improve phonemization quality in TTS systems without sacrificing real-time performance through lightweight context-aware phonemization and a service-oriented architecture. A...
🔹 Publication Date: Published on Dec 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08006
• PDF: https://arxiv.org/pdf/2512.08006
• Github: https://github.com/MahtaFetrat/Piper-with-LCA-Phonemizer
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
A framework is proposed to improve phonemization quality in TTS systems without sacrificing real-time performance through lightweight context-aware phonemization and a service-oriented architecture. A...
🔹 Publication Date: Published on Dec 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08006
• PDF: https://arxiv.org/pdf/2512.08006
• Github: https://github.com/MahtaFetrat/Piper-with-LCA-Phonemizer
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
❤1
✨Composing Concepts from Images and Videos via Concept-prompt Binding
📝 Summary:
Bind & Compose introduces a one-shot method for composing visual concepts from images and videos. It binds concepts to prompt tokens using hierarchical binders and novel strategies, achieving superior consistency, fidelity, and motion quality.
🔹 Publication Date: Published on Dec 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09824
• PDF: https://arxiv.org/pdf/2512.09824
• Project Page: https://refkxh.github.io/BiCo_Webpage/
• Github: https://github.com/refkxh/bico
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #ComputerVision #GenerativeAI #VisualConcepts #PromptEngineering
📝 Summary:
Bind & Compose introduces a one-shot method for composing visual concepts from images and videos. It binds concepts to prompt tokens using hierarchical binders and novel strategies, achieving superior consistency, fidelity, and motion quality.
🔹 Publication Date: Published on Dec 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09824
• PDF: https://arxiv.org/pdf/2512.09824
• Project Page: https://refkxh.github.io/BiCo_Webpage/
• Github: https://github.com/refkxh/bico
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #ComputerVision #GenerativeAI #VisualConcepts #PromptEngineering
✨TED-4DGS: Temporally Activated and Embedding-based Deformation for 4DGS Compression
📝 Summary:
TED-4DGS efficiently compresses dynamic 3D scenes using sparse anchor-based 3D Gaussian Splatting with novel temporal activation and embedding-based deformation. It optimizes rate-distortion with an implicit neural representation hyperprior and autoregressive model, achieving state-of-the-art com...
🔹 Publication Date: Published on Dec 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05446
• PDF: https://arxiv.org/pdf/2512.05446
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#4DGS #3DCompression #NeuralRendering #ComputerVision #DynamicScenes
📝 Summary:
TED-4DGS efficiently compresses dynamic 3D scenes using sparse anchor-based 3D Gaussian Splatting with novel temporal activation and embedding-based deformation. It optimizes rate-distortion with an implicit neural representation hyperprior and autoregressive model, achieving state-of-the-art com...
🔹 Publication Date: Published on Dec 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05446
• PDF: https://arxiv.org/pdf/2512.05446
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#4DGS #3DCompression #NeuralRendering #ComputerVision #DynamicScenes
✨VideoSSM: Autoregressive Long Video Generation with Hybrid State-Space Memory
📝 Summary:
VideoSSM proposes a hybrid state-space memory model for long video generation. It unifies autoregressive diffusion with global state-space memory and local context to achieve state-of-the-art temporal consistency and motion stability. This enables scalable, interactive minute-scale video synthesis.
🔹 Publication Date: Published on Dec 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.04519
• PDF: https://arxiv.org/pdf/2512.04519
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#VideoGeneration #GenerativeAI #DiffusionModels #StateSpaceModels #DeepLearning
📝 Summary:
VideoSSM proposes a hybrid state-space memory model for long video generation. It unifies autoregressive diffusion with global state-space memory and local context to achieve state-of-the-art temporal consistency and motion stability. This enables scalable, interactive minute-scale video synthesis.
🔹 Publication Date: Published on Dec 4
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.04519
• PDF: https://arxiv.org/pdf/2512.04519
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#VideoGeneration #GenerativeAI #DiffusionModels #StateSpaceModels #DeepLearning
✨BrainExplore: Large-Scale Discovery of Interpretable Visual Representations in the Human Brain
📝 Summary:
An automated framework identifies and explains visual representations in human brain fMRI data using unsupervised decomposition and natural language denoscriptions. This large-scale method reveals thousands of interpretable visual concepts, including previously unknown fine-grained representations ...
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08560
• PDF: https://arxiv.org/pdf/2512.08560
• Project Page: https://navvewas.github.io/BrainExplore/
✨ Spaces citing this paper:
• https://huggingface.co/spaces/mcosarinsky/BrainExplore-demo
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#Neuroscience #BrainMapping #fMRI #AIResearch #DataScience
📝 Summary:
An automated framework identifies and explains visual representations in human brain fMRI data using unsupervised decomposition and natural language denoscriptions. This large-scale method reveals thousands of interpretable visual concepts, including previously unknown fine-grained representations ...
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08560
• PDF: https://arxiv.org/pdf/2512.08560
• Project Page: https://navvewas.github.io/BrainExplore/
✨ Spaces citing this paper:
• https://huggingface.co/spaces/mcosarinsky/BrainExplore-demo
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#Neuroscience #BrainMapping #fMRI #AIResearch #DataScience
❤1
✨IF-Bench: Benchmarking and Enhancing MLLMs for Infrared Images with Generative Visual Prompting
📝 Summary:
IF-Bench is introduced as the first benchmark to evaluate multimodal large language models on infrared images using diverse assessment strategies. It includes varied infrared images and question-answer pairs for systematic evaluation of over 40 models. The paper also proposes GenViP, a training-f...
🔹 Publication Date: Published on Dec 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09663
• PDF: https://arxiv.org/pdf/2512.09663
🔹 Models citing this paper:
• https://huggingface.co/casiatao/Qwen-Edit-2509-FT
✨ Datasets citing this paper:
• https://huggingface.co/datasets/casiatao/IF-Bench
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#MLLMs #InfraredImaging #Benchmarking #GenerativeAI #AIResearch
📝 Summary:
IF-Bench is introduced as the first benchmark to evaluate multimodal large language models on infrared images using diverse assessment strategies. It includes varied infrared images and question-answer pairs for systematic evaluation of over 40 models. The paper also proposes GenViP, a training-f...
🔹 Publication Date: Published on Dec 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09663
• PDF: https://arxiv.org/pdf/2512.09663
🔹 Models citing this paper:
• https://huggingface.co/casiatao/Qwen-Edit-2509-FT
✨ Datasets citing this paper:
• https://huggingface.co/datasets/casiatao/IF-Bench
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#MLLMs #InfraredImaging #Benchmarking #GenerativeAI #AIResearch
Media is too big
VIEW IN TELEGRAM
✨Ground Slow, Move Fast: A Dual-System Foundation Model for Generalizable Vision-and-Language Navigation
📝 Summary:
DualVLN is a dual-system model for vision-language navigation. It integrates a VLM global planner with a fast local policy for smooth actions, enabling robust real-time control and long-horizon planning in dynamic environments.
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08186
• PDF: https://arxiv.org/pdf/2512.08186
• Project Page: https://internrobotics.github.io/internvla-n1-dualvln.github.io/
• Github: https://github.com/InternRobotics/InternNav
🔹 Models citing this paper:
• https://huggingface.co/InternRobotics/InternVLA-N1-System2
• https://huggingface.co/InternRobotics/InternVLA-N1-w-NavDP
• https://huggingface.co/InternRobotics/InternVLA-N1-DualVLN
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
DualVLN is a dual-system model for vision-language navigation. It integrates a VLM global planner with a fast local policy for smooth actions, enabling robust real-time control and long-horizon planning in dynamic environments.
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08186
• PDF: https://arxiv.org/pdf/2512.08186
• Project Page: https://internrobotics.github.io/internvla-n1-dualvln.github.io/
• Github: https://github.com/InternRobotics/InternNav
🔹 Models citing this paper:
• https://huggingface.co/InternRobotics/InternVLA-N1-System2
• https://huggingface.co/InternRobotics/InternVLA-N1-w-NavDP
• https://huggingface.co/InternRobotics/InternVLA-N1-DualVLN
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
This media is not supported in your browser
VIEW IN TELEGRAM
✨TrackingWorld: World-centric Monocular 3D Tracking of Almost All Pixels
📝 Summary:
TrackingWorld provides dense 3D tracking of pixels in a world-centric coordinate system by upsampling sparse 2D tracks and optimizing camera poses and 3D coordinates. AI-generated summary Monocular 3D...
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08358
• PDF: https://arxiv.org/pdf/2512.08358
• Project Page: https://igl-hkust.github.io/TrackingWorld.github.io/
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
TrackingWorld provides dense 3D tracking of pixels in a world-centric coordinate system by upsampling sparse 2D tracks and optimizing camera poses and 3D coordinates. AI-generated summary Monocular 3D...
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08358
• PDF: https://arxiv.org/pdf/2512.08358
• Project Page: https://igl-hkust.github.io/TrackingWorld.github.io/
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
🚀 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!
🔰 Machine Learning with Python
Learn Machine Learning with hands-on Python tutorials, real-world code examples, and clear explanations for researchers and developers.
https://news.1rj.ru/str/CodeProgrammer
🔖 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://news.1rj.ru/str/DataScienceM
🧠 Code With Python
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
https://news.1rj.ru/str/DataScience4
🎯 PyData Careers | Quiz
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://news.1rj.ru/str/DataScienceQ
💾 Kaggle Data Hub
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://news.1rj.ru/str/datasets1
🧑🎓 Udemy Coupons | Courses
The first channel in Telegram that offers free Udemy coupons
https://news.1rj.ru/str/DataScienceC
😀 ML Research Hub
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
https://news.1rj.ru/str/DataScienceT
💬 Data Science Chat
An active community group for discussing data challenges and networking with peers.
https://news.1rj.ru/str/DataScience9
🐍 Python Arab| بايثون عربي
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://news.1rj.ru/str/PythonArab
🖊 Data Science Jupyter Notebooks
Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://news.1rj.ru/str/DataScienceN
📺 Free Online Courses | Videos
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://news.1rj.ru/str/DataScienceV
📈 Data Analytics
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
https://news.1rj.ru/str/DataAnalyticsX
🎧 Learn Python Hub
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://news.1rj.ru/str/Python53
⭐️ Research Papers
Professional Academic Writing & Simulation Services
https://news.1rj.ru/str/DataScienceY
━━━━━━━━━━━━━━━━━━
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://news.1rj.ru/str/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://news.1rj.ru/str/DataScienceM
This channel delivers clear, practical content for developers, covering Python, Django, Data Structures, Algorithms, and DSA – perfect for learning, coding, and mastering key programming skills.
https://news.1rj.ru/str/DataScience4
Python Data Science jobs, interview tips, and career insights for aspiring professionals.
https://news.1rj.ru/str/DataScienceQ
Your go-to hub for Kaggle datasets – explore, analyze, and leverage data for Machine Learning and Data Science projects.
https://news.1rj.ru/str/datasets1
The first channel in Telegram that offers free Udemy coupons
https://news.1rj.ru/str/DataScienceC
Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.
https://news.1rj.ru/str/DataScienceT
An active community group for discussing data challenges and networking with peers.
https://news.1rj.ru/str/DataScience9
The largest Arabic-speaking group for Python developers to share knowledge and help.
https://news.1rj.ru/str/PythonArab
Explore the world of Data Science through Jupyter Notebooks—insights, tutorials, and tools to boost your data journey. Code, analyze, and visualize smarter with every post.
https://news.1rj.ru/str/DataScienceN
Free online courses covering data science, machine learning, analytics, programming, and essential skills for learners.
https://news.1rj.ru/str/DataScienceV
Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.
https://news.1rj.ru/str/DataAnalyticsX
Master Python with step-by-step courses – from basics to advanced projects and practical applications.
https://news.1rj.ru/str/Python53
Professional Academic Writing & Simulation Services
https://news.1rj.ru/str/DataScienceY
━━━━━━━━━━━━━━━━━━
Admin: @HusseinSheikho
Please open Telegram to view this post
VIEW IN TELEGRAM
❤1
✨Rethinking Chain-of-Thought Reasoning for Videos
📝 Summary:
This paper demonstrates that concise chains of thought and reduced visual tokens efficiently enable video reasoning in MLLMs. Their framework improves inference speed and performance, proving long, human-like reasoning is not necessary for effective video understanding.
🔹 Publication Date: Published on Dec 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09616
• PDF: https://arxiv.org/pdf/2512.09616
• Github: https://github.com/LaVi-Lab/Rethink_CoT_Video
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
This paper demonstrates that concise chains of thought and reduced visual tokens efficiently enable video reasoning in MLLMs. Their framework improves inference speed and performance, proving long, human-like reasoning is not necessary for effective video understanding.
🔹 Publication Date: Published on Dec 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09616
• PDF: https://arxiv.org/pdf/2512.09616
• Github: https://github.com/LaVi-Lab/Rethink_CoT_Video
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
❤1
✨Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction
📝 Summary:
MineROI-Net is a Transformer model predicting Bitcoin ASIC hardware profitability within one year, addressing acquisition timing. It achieves 83.7% accuracy, outperforming baselines, and precisely identifies profitable or unprofitable periods to reduce financial risk.
🔹 Publication Date: Published on Dec 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05402
• PDF: https://arxiv.org/pdf/2512.05402
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#DeepLearning #Bitcoin #CryptoMining #FinancialModeling #AIResearch
📝 Summary:
MineROI-Net is a Transformer model predicting Bitcoin ASIC hardware profitability within one year, addressing acquisition timing. It achieves 83.7% accuracy, outperforming baselines, and precisely identifies profitable or unprofitable periods to reduce financial risk.
🔹 Publication Date: Published on Dec 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05402
• PDF: https://arxiv.org/pdf/2512.05402
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#DeepLearning #Bitcoin #CryptoMining #FinancialModeling #AIResearch
❤1
✨GimbalDiffusion: Gravity-Aware Camera Control for Video Generation
📝 Summary:
GimbalDiffusion offers precise text-to-video camera control by using absolute, gravity-aligned coordinates. This framework defines interpretable camera trajectories, enhancing robustness and diverse motion beyond relative methods.
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09112
• PDF: https://arxiv.org/pdf/2512.09112
• Project Page: https://lvsn.github.io/GimbalDiffusion/
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#VideoGeneration #AI #DiffusionModels #ComputerVision #DeepLearning
📝 Summary:
GimbalDiffusion offers precise text-to-video camera control by using absolute, gravity-aligned coordinates. This framework defines interpretable camera trajectories, enhancing robustness and diverse motion beyond relative methods.
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.09112
• PDF: https://arxiv.org/pdf/2512.09112
• Project Page: https://lvsn.github.io/GimbalDiffusion/
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#VideoGeneration #AI #DiffusionModels #ComputerVision #DeepLearning
✨Towards a Science of Scaling Agent Systems
📝 Summary:
A quantitative framework for agent system scaling using empirical coordination metrics identifies optimal multi-agent strategies based on task properties. AI-generated summary Agents, language model (...
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08296
• PDF: https://arxiv.org/pdf/2512.08296
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
📝 Summary:
A quantitative framework for agent system scaling using empirical coordination metrics identifies optimal multi-agent strategies based on task properties. AI-generated summary Agents, language model (...
🔹 Publication Date: Published on Dec 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.08296
• PDF: https://arxiv.org/pdf/2512.08296
==================================
For more data science resources:
✓ https://news.1rj.ru/str/DataScienceT
#AI #DataScience #MachineLearning #HuggingFace #Research
❤1
🤖🧠 How to Run and Fine-Tune Kimi K2 Thinking Locally with Unsloth
🗓️ 11 Dec 2025
📚 AI News & Trends
The demand for efficient and powerful large language models (LLMs) continues to rise as developers and researchers seek new ways to optimize reasoning, coding, and conversational AI performance. One of the most impressive open-source AI systems available today is Kimi K2 Thinking, created by Moonshot AI. Through collaboration with Unsloth, users can now fine-tune and ...
#KimiK2Thinking #Unsloth #LLMs #LargeLanguageModels #AI #FineTuning
🗓️ 11 Dec 2025
📚 AI News & Trends
The demand for efficient and powerful large language models (LLMs) continues to rise as developers and researchers seek new ways to optimize reasoning, coding, and conversational AI performance. One of the most impressive open-source AI systems available today is Kimi K2 Thinking, created by Moonshot AI. Through collaboration with Unsloth, users can now fine-tune and ...
#KimiK2Thinking #Unsloth #LLMs #LargeLanguageModels #AI #FineTuning
❤1