Tag: composition

  • Anchore: Effortless SBOM Analysis: How Anchore Enterprise Simplifies Integration

    Source URL: https://anchore.com/blog/effortless-sbom-analysis-how-anchore-enterprise-simplifies-integration/ Source: Anchore Title: Effortless SBOM Analysis: How Anchore Enterprise Simplifies Integration Feedly Summary: As software supply chain security becomes a top priority, organizations are turning to Software Bill of Materials (SBOM) generation and analysis to gain visibility into the composition of their software and supply chain dependencies in order to reduce risk.…

  • Hacker News: DeepSearcher: A Local open-source Deep Research

    Source URL: https://milvus.io/blog/introduce-deepsearcher-a-local-open-source-deep-research.md Source: Hacker News Title: DeepSearcher: A Local open-source Deep Research Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The provided text outlines the development and functionality of DeepSearcher, an open-source research agent that automates query decomposition, data retrieval, and synthesis of information into detailed reports. It showcases innovations in AI-driven research…

  • Hacker News: AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition

    Source URL: https://sakana.ai/ai-cuda-engineer/ Source: Hacker News Title: AI CUDA Engineer: Agentic CUDA Kernel Discovery, Optimization and Composition Feedly Summary: Comments AI Summary and Description: Yes **Summary:** The text discusses significant advancements made by Sakana AI in automating the creation and optimization of AI models, particularly through the development of The AI CUDA Engineer, which leverages…

  • Hacker News: Exa Laboratories (YC S24) Is Hiring a Founding Engineer to Build AI Chips

    Source URL: https://www.ycombinator.com/companies/exa-laboratories/jobs/9TXvyqt-founding-engineer Source: Hacker News Title: Exa Laboratories (YC S24) Is Hiring a Founding Engineer to Build AI Chips Feedly Summary: Comments AI Summary and Description: Yes Summary: The text discusses the development of advanced polymorphic chips designed to enhance AI capabilities and computation efficiency. The focus is on creating a new generation of…

  • Wired: Mira Murati Launches Thinking Machines Lab to Make AI More Accessible

    Source URL: https://www.wired.com/story/mira-murati-thinking-machines-lab/ Source: Wired Title: Mira Murati Launches Thinking Machines Lab to Make AI More Accessible Feedly Summary: After leaving OpenAI last year, Mira Murati is finally ready to share what she’s working on. AI Summary and Description: Yes Summary: Mira Murati, former CTO of OpenAI, has launched a new public benefit corporation called…

  • The Register: Running hot? Server shipments forecast to cool in 2025

    Source URL: https://www.theregister.com/2025/02/12/trendforce_ai_servers/ Source: The Register Title: Running hot? Server shipments forecast to cool in 2025 Feedly Summary: Supply chain and regulatory hurdles likely to shrink figures US tech sanctions and supply chain readiness for racks of Nvidia’s latest gear will likely cause AI server sales to cool-off in 2025.… AI Summary and Description: Yes…

  • Hacker News: DeepRAG: Thinking to Retrieval Step by Step for Large Language Models

    Source URL: https://arxiv.org/abs/2502.01142 Source: Hacker News Title: DeepRAG: Thinking to Retrieval Step by Step for Large Language Models Feedly Summary: Comments AI Summary and Description: Yes Summary: The text introduces a novel framework called DeepRAG, designed to improve the reasoning capabilities of Large Language Models (LLMs) by enhancing the retrieval-augmented generation process. This is particularly…

  • Hacker News: Chatbot Software Begins to Face Fundamental Limitations

    Source URL: https://www.quantamagazine.org/chatbot-software-begins-to-face-fundamental-limitations-20250131/ Source: Hacker News Title: Chatbot Software Begins to Face Fundamental Limitations Feedly Summary: Comments AI Summary and Description: Yes **Summary**: The text details recent findings on the limitations of large language models (LLMs) in performing compositional reasoning tasks, highlighting inherent restrictions in their architecture that prevent them from effectively solving complex multi-step…