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    To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models

    State Space Models (SSMs) have become the leading alternative to Transformers for sequence modeling. Their primary advantage is efficiency in long-context and long-form generation, ...

    In AI, Research, Mar 29, 2026
    To Infinity and Beyond: Tool-Use Unlocks Length Generalization in State Space Models

    Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting

    Existing feed-forward 3D Gaussian Splatting methods predict pixel-aligned primitives, leading to a quadratic growth in primitive count as resolution increases. This fundamentally li...

    In AI, Research, Mar 29, 2026
    Less Gaussians, Texture More: 4K Feed-Forward Textured Splatting

    GroundedPlanBench: Spatially grounded long-horizon task planning for robot manipulation

    In AI, Research, Mar 29, 2026
    GroundedPlanBench: Spatially grounded long-horizon task planning for robot manipulation

    Athena: Intermediate Representations for Iterative Scaffolded App Generation with an LLM

    It is challenging to generate the code for a complete user interface using a Large Language Model (LLM). User interfaces are complex and their implementations often consist of multi...

    In AI, Research, Mar 29, 2026
    Athena: Intermediate Representations for Iterative Scaffolded App Generation with an LLM

    AsgardBench: A benchmark for visually grounded interactive planning

    In AI, Research, Mar 29, 2026
    AsgardBench: A benchmark for visually grounded interactive planning

    TurboQuant vs RaBitQ: An Academic Controversy in AI Compression Research

    Google Research recently announced TurboQuant, a vector quantization algorithm that achieves impressive results: 6x memory reduction and 8x speedup with zero accuracy loss. The announ...

    In AI, Research, Academic Integrity, Mar 28, 2026
    TurboQuant vs RaBitQ: An Academic Controversy in AI Compression Research

    Claude Code Auto Mode: Balancing Safety and Autonomy

    Anthropic introduces Auto Mode for Claude Code - an AI-powered risk classifier that automatically approves safe actions while flagging dangerous ones for human review. Solves approv...

    In AI, Research, Mar 27, 2026
    Claude Code Auto Mode: Balancing Safety and Autonomy

    How Anthropic Built Their Multi-Agent Research System: Architecture Lessons from Production

    Claude’s new Research capabilities represent a significant evolution in AI agent architecture—moving from single-agent systems to coordinated multi-agent orchestration at production s...

    In AI, Architecture, Engineering, Mar 24, 2026
    How Anthropic Built Their Multi-Agent Research System: Architecture Lessons from Production

    Building Zero-Trust AI Factories: NVIDIA's Approach to Confidential Computing

    As AI moves from experimentation to production, enterprises face a critical challenge: most data they need exists outside the public cloud. Patient records, market research, legacy sy...

    In AI, Security, Infrastructure, Mar 23, 2026
    Building Zero-Trust AI Factories: NVIDIA's Approach to Confidential Computing

    NVIDIA NemoClaw: Enterprise-Grade Security for Autonomous AI Agents

    The rise of autonomous AI agents has created a security paradox: agents need broad access to be useful, yet unrestricted access poses enormous risks. NVIDIA’s NemoClaw addresses this ...

    In AI, Security, Architecture, Mar 17, 2026
    NVIDIA NemoClaw: Enterprise-Grade Security for Autonomous AI Agents
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