🤖🧠 Artificial Intelligence: A Modern Approach — The Ultimate Number 1 Guide to Learning AI by Stuart Russell and Peter Norvig

🗓️ 12 Oct 2025
📚 AI News & Trends

When it comes to learning artificial intelligence (AI), few resources hold as much authority as “Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig. Often regarded as the “Bible of AI”, this textbook has become the most widely used academic reference in the field adopted by over 1,500 universities and institutions worldwide. Published ...

#ArtificialIntelligence #AIModernApproach #StuartRussell #PeterNorvig #AIBible #AIEducation

🤖🧠 Grok AI Chatbot (2025): Elon Musk’s Bold Answer to Real-Time, Intelligent Conversation

🗓️ 12 Oct 2025
📚 AI News & Trends

The year 2025 marks a new era in the evolution of conversational AI and at the center of this transformation stands Grok AI, the innovative chatbot developed by Elon Musk’s company xAI. Grok isn’t just another virtual assistant; it’s a real-time intelligent system that combines deep reasoning with a unique, witty personality. What truly sets ...

#GrokAI #xAI #ConversationalAI #ElonMusk #RealTimeAI #IntelligentChatbot

🔹 Title: TAG:Tangential Amplifying Guidance for Hallucination-Resistant Diffusion Sampling

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04533
• PDF: https://arxiv.org/pdf/2510.04533
• Project Page: https://hyeon-cho.github.io/TAG/

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🔹 Title: ReviewerToo: Should AI Join The Program Committee? A Look At The Future of Peer Review

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08867
• PDF: https://arxiv.org/pdf/2510.08867

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🔹 Title: Don't Waste Mistakes: Leveraging Negative RL-Groups via Confidence Reweighting

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08696
• PDF: https://arxiv.org/pdf/2510.08696

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🔹 Title: StreamingVLM: Real-Time Understanding for Infinite Video Streams

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09608
• PDF: https://arxiv.org/pdf/2510.09608
• Github: https://github.com/mit-han-lab/streaming-vlm

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🔹 Title: SpaceVista: All-Scale Visual Spatial Reasoning from mm to km

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09606
• PDF: https://arxiv.org/pdf/2510.09606
• Project Page: https://peiwensun2000.github.io/mm2km/
• Github: https://github.com/PeiwenSun2000/SpaceVista

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/SpaceVista/Data-Preview

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🔹 Title: Mind-Paced Speaking: A Dual-Brain Approach to Real-Time Reasoning in Spoken Language Models

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09592
• PDF: https://arxiv.org/pdf/2510.09592
• Github: https://github.com/stepfun-ai/Step-MPS

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🔹 Title: Dyna-Mind: Learning to Simulate from Experience for Better AI Agents

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09577
• PDF: https://arxiv.org/pdf/2510.09577

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🔹 Title: Pseudo2Real: Task Arithmetic for Pseudo-Label Correction in Automatic Speech Recognition

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://www.arxiv.org/abs/2510.08047
• PDF: https://arxiv.org/pdf/2510.08047

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🤖🧠 Try Powerful Mem0 AI to build Long-Term Memory for AI Agents

🗓️ 12 Oct 2025
📚 AI News & Trends

Artificial Intelligence has made incredible leaps in recent years from chatbots that converse naturally to AI agents capable of reasoning and decision-making. However, one major limitation has persisted: memory. Traditional large language models (LLMs) like ChatGPT or Claude can process vast data but fail to remember context across long interactions. This is where Mem0 AI, ...

#Mem0AI #AIAgents #LongTermMemory #ArtificialIntelligence #AIMemory #LLMs

🔹 Title: Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08673
• PDF: https://arxiv.org/pdf/2510.08673
• Project Page: https://kangliao929.github.io/projects/puffin/
• Github: https://github.com/KangLiao929/Puffin

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/KangLiao/Puffin-4M

🔹 Spaces citing this paper:
• https://huggingface.co/spaces/KangLiao/Puffin
• https://huggingface.co/spaces/wusize/Puffin
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🔹 Title: Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06499
• PDF: https://arxiv.org/pdf/2510.06499
• Project Page: https://huggingface.co/datasets/Salesforce/Webscale-RL
• Github: https://github.com/SalesforceAIResearch/PretrainRL-pipeline

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/Salesforce/Webscale-RL

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🔹 Title: Progressive Gaussian Transformer with Anisotropy-aware Sampling for Open Vocabulary Occupancy Prediction

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04759
• PDF: https://arxiv.org/pdf/2510.04759
• Project Page: https://yanchi-3dv.github.io/PG-Occ/
• Github: https://github.com/yanchi-3dv/PG-Occ

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🔹 Title: Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09201
• PDF: https://arxiv.org/pdf/2510.09201
• Github: https://github.com/Dozi01/MPO

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🔹 Title: R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08189
• PDF: https://arxiv.org/pdf/2510.08189

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🔹 Title: Parallel Test-Time Scaling for Latent Reasoning Models

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07745
• PDF: https://arxiv.org/pdf/2510.07745
• Github: https://github.com/YRYangang/LatentTTS

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🔹 Title: TC-LoRA: Temporally Modulated Conditional LoRA for Adaptive Diffusion Control

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09561
• PDF: https://arxiv.org/pdf/2510.09561

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🔹 Title: PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09507
• PDF: https://arxiv.org/pdf/2510.09507
• Github: https://github.com/EnVision-Research/PhysToolBench

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🔹 Title: BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08697
• PDF: https://arxiv.org/pdf/2510.08697

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🔹 Title: Temporal Prompting Matters: Rethinking Referring Video Object Segmentation

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07319
• PDF: https://arxiv.org/pdf/2510.07319

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