π€π§ Microsoft Data Formulator: Revolutionizing AI-Powered Data Visualization
ποΈ 28 Oct 2025
π AI News & Trends
In todayβs data-driven world, visualization is everything. Whether youβre a business analyst, data scientist or researcher, the ability to convert raw data into meaningful visuals can define the success of your decisions. Thatβs where Microsoftβs Data Formulator steps in a cutting-edge, open-source platform designed to empower analysts to create rich, AI-assisted visualizations effortlessly. Developed by ...
#Microsoft #DataVisualization #AI #DataScience #OpenSource #Analytics
ποΈ 28 Oct 2025
π AI News & Trends
In todayβs data-driven world, visualization is everything. Whether youβre a business analyst, data scientist or researcher, the ability to convert raw data into meaningful visuals can define the success of your decisions. Thatβs where Microsoftβs Data Formulator steps in a cutting-edge, open-source platform designed to empower analysts to create rich, AI-assisted visualizations effortlessly. Developed by ...
#Microsoft #DataVisualization #AI #DataScience #OpenSource #Analytics
π€π§ Googleβs GenAI MCP Toolbox for Databases: Transforming AI-Powered Data Management
ποΈ 28 Oct 2025
π AI News & Trends
In the era of artificial intelligence, where data fuels innovation and decision-making, the need for efficient and intelligent data management tools has never been greater. Traditional methods of database management often require deep technical expertise and manual oversight, slowing down development cycles and creating operational bottlenecks. To address these challenges, Google has introduced the GenAI ...
#Google #GenAI #Database #AIPowered #DataManagement #MachineLearning
ποΈ 28 Oct 2025
π AI News & Trends
In the era of artificial intelligence, where data fuels innovation and decision-making, the need for efficient and intelligent data management tools has never been greater. Traditional methods of database management often require deep technical expertise and manual oversight, slowing down development cycles and creating operational bottlenecks. To address these challenges, Google has introduced the GenAI ...
#Google #GenAI #Database #AIPowered #DataManagement #MachineLearning
π€π§ Wren AI: Transforming Business Intelligence with Generative AI
ποΈ 28 Oct 2025
π AI News & Trends
In the evolving world of data and analytics, one thing is certain β the ability to transform raw data into actionable insights defines success. Organizations today are generating more data than ever before, yet accessing and understanding that data remains a significant challenge. Traditional business intelligence tools require technical expertise, SQL knowledge and manual configuration. ...
#WrenAI #GenerativeAI #BusinessIntelligence #DataAnalytics #AI #Insights
ποΈ 28 Oct 2025
π AI News & Trends
In the evolving world of data and analytics, one thing is certain β the ability to transform raw data into actionable insights defines success. Organizations today are generating more data than ever before, yet accessing and understanding that data remains a significant challenge. Traditional business intelligence tools require technical expertise, SQL knowledge and manual configuration. ...
#WrenAI #GenerativeAI #BusinessIntelligence #DataAnalytics #AI #Insights
πΉ Title: VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set
πΉ Publication Date: Published on Oct 24
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.21323
β’ PDF: https://arxiv.org/pdf/2510.21323
β’ Github: https://github.com/ssfgunner/VL-SAE
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 24
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.21323
β’ PDF: https://arxiv.org/pdf/2510.21323
β’ Github: https://github.com/ssfgunner/VL-SAE
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: Tongyi DeepResearch Technical Report
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24701
β’ PDF: https://arxiv.org/pdf/2510.24701
β’ Project Page: https://tongyi-agent.github.io/blog/introducing-tongyi-deep-research/
β’ Github: https://github.com/Alibaba-NLP/DeepResearch
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24701
β’ PDF: https://arxiv.org/pdf/2510.24701
β’ Project Page: https://tongyi-agent.github.io/blog/introducing-tongyi-deep-research/
β’ Github: https://github.com/Alibaba-NLP/DeepResearch
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: ReplicationBench: Can AI Agents Replicate Astrophysics Research Papers?
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24591
β’ PDF: https://arxiv.org/pdf/2510.24591
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24591
β’ PDF: https://arxiv.org/pdf/2510.24591
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: OSWorld-MCP: Benchmarking MCP Tool Invocation In Computer-Use Agents
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24563
β’ PDF: https://arxiv.org/pdf/2510.24563
β’ Project Page: https://osworld-mcp.github.io/
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24563
β’ PDF: https://arxiv.org/pdf/2510.24563
β’ Project Page: https://osworld-mcp.github.io/
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: RoboOmni: Proactive Robot Manipulation in Omni-modal Context
πΉ Publication Date: Published on Oct 27
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.23763
β’ PDF: https://arxiv.org/pdf/2510.23763
β’ Project Page: https://OpenMOSS.github.io/RoboOmni
β’ Github: https://github.com/OpenMOSS/RoboOmni
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/fnlp/OmniAction
β’ https://huggingface.co/datasets/fnlp/OmniAction-LIBERO
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 27
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.23763
β’ PDF: https://arxiv.org/pdf/2510.23763
β’ Project Page: https://OpenMOSS.github.io/RoboOmni
β’ Github: https://github.com/OpenMOSS/RoboOmni
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/fnlp/OmniAction
β’ https://huggingface.co/datasets/fnlp/OmniAction-LIBERO
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
π1
πΉ Title: Critique-RL: Training Language Models for Critiquing through Two-Stage Reinforcement Learning
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24320
β’ PDF: https://arxiv.org/pdf/2510.24320
β’ Github: https://github.com/WooooDyy/Critique-RL
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24320
β’ PDF: https://arxiv.org/pdf/2510.24320
β’ Github: https://github.com/WooooDyy/Critique-RL
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: Latent Sketchpad: Sketching Visual Thoughts to Elicit Multimodal Reasoning in MLLMs
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24514
β’ PDF: https://arxiv.org/pdf/2510.24514
β’ Project Page: https://latent-sketchpad.github.io/
β’ Github: https://github.com/hwanyu112/Latent-Sketchpad
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24514
β’ PDF: https://arxiv.org/pdf/2510.24514
β’ Project Page: https://latent-sketchpad.github.io/
β’ Github: https://github.com/hwanyu112/Latent-Sketchpad
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24711
β’ PDF: https://arxiv.org/pdf/2510.24711
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24711
β’ PDF: https://arxiv.org/pdf/2510.24711
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: ParallelMuse: Agentic Parallel Thinking for Deep Information Seeking
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24698
β’ PDF: https://arxiv.org/pdf/2510.24698
β’ Github: https://github.com/Alibaba-NLP/DeepResearch
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24698
β’ PDF: https://arxiv.org/pdf/2510.24698
β’ Github: https://github.com/Alibaba-NLP/DeepResearch
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: AgentFold: Long-Horizon Web Agents with Proactive Context Management
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24699
β’ PDF: https://arxiv.org/pdf/2510.24699
β’ Github: https://github.com/Alibaba-NLP/DeepResearch
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24699
β’ PDF: https://arxiv.org/pdf/2510.24699
β’ Github: https://github.com/Alibaba-NLP/DeepResearch
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
π1
πΉ Title: WebLeaper: Empowering Efficiency and Efficacy in WebAgent via Enabling Info-Rich Seeking
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24697
β’ PDF: https://arxiv.org/pdf/2510.24697
β’ Github: https://github.com/Alibaba-NLP/DeepResearch
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24697
β’ PDF: https://arxiv.org/pdf/2510.24697
β’ Github: https://github.com/Alibaba-NLP/DeepResearch
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: AgentFrontier: Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24695
β’ PDF: https://arxiv.org/pdf/2510.24695
β’ Github: https://github.com/Alibaba-NLP/DeepResearch
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24695
β’ PDF: https://arxiv.org/pdf/2510.24695
β’ Github: https://github.com/Alibaba-NLP/DeepResearch
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: Repurposing Synthetic Data for Fine-grained Search Agent Supervision
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24694
β’ PDF: https://arxiv.org/pdf/2510.24694
β’ Github: https://github.com/Alibaba-NLP/DeepResearch
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24694
β’ PDF: https://arxiv.org/pdf/2510.24694
β’ Github: https://github.com/Alibaba-NLP/DeepResearch
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: FunReason-MT Technical Report: Overcoming the Complexity Barrier in Multi-Turn Function Calling
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24645
β’ PDF: https://arxiv.org/pdf/2510.24645
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/Bingguang/FunReason-MT
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24645
β’ PDF: https://arxiv.org/pdf/2510.24645
πΉ Datasets citing this paper:
β’ https://huggingface.co/datasets/Bingguang/FunReason-MT
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: Game-TARS: Pretrained Foundation Models for Scalable Generalist Multimodal Game Agents
πΉ Publication Date: Published on Oct 27
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.23691
β’ PDF: https://arxiv.org/pdf/2510.23691
β’ Project Page: https://seed-tars.com/game-tars
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 27
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.23691
β’ PDF: https://arxiv.org/pdf/2510.23691
β’ Project Page: https://seed-tars.com/game-tars
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: Generalization or Memorization: Dynamic Decoding for Mode Steering
πΉ Publication Date: Published on Oct 25
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.22099
β’ PDF: https://arxiv.org/pdf/2510.22099
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 25
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.22099
β’ PDF: https://arxiv.org/pdf/2510.22099
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: Rethinking Visual Intelligence: Insights from Video Pretraining
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24448
β’ PDF: https://arxiv.org/pdf/2510.24448
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24448
β’ PDF: https://arxiv.org/pdf/2510.24448
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Title: InteractComp: Evaluating Search Agents With Ambiguous Queries
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24668
β’ PDF: https://arxiv.org/pdf/2510.24668
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT
πΉ Publication Date: Published on Oct 28
πΉ Paper Links:
β’ arXiv Page: https://arxiv.org/abs/2510.24668
β’ PDF: https://arxiv.org/pdf/2510.24668
πΉ Datasets citing this paper:
No datasets found
πΉ Spaces citing this paper:
No spaces found
==================================
For more data science resources:
β https://t.me/DataScienceT