Modular AI Systems
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Scaling Participation in Modular AI Systems
arXiv:2606.07812v1 Announce Type: new Abstract: Humanity is a mosaic of multifaceted talents and needs, and any truly intelligent AI must reflect that richness. Yet the LLMs used by all are built by the few -- a centralized market of monolithic AI models structurally ill-suited to capture the diversity of human knowledge, reasoning, and values.
Toward a Modular Architecture for Embedded AI Agent Systems at the Edge
arXiv:2606.02862v1 Announce Type: new Abstract: The rise of Large Language Models (LLMs) has enabled agentic AI capable of complex reasoning and tool use; however, deploying such autonomy in pervasive computing environments remains challenging due to the strict memory and energy constraints of embedded microcontrollers. Existing frameworks typically assume server-class resources or continuous connectivity, leaving a gap for deeply embedded systems.
Microskill Architecture: A Modular Skill-Driven Framework for AI-Native Code Generation
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Improving Relative Representations with Learned Anchors and Whitened Inner Products
arXiv:2605.30596v1 Announce Type: new Abstract: Independently trained neural models typically converge to incompatible latent representations, creating a fundamental barrier to highly modular AI systems. While Relative Representations (RR) address this by mapping absolute coordinates to a shared space defined by similarities to common anchor points, traditional implementations rely on randomly sampled anchors and cosine similarity, which frequently fail to capture the anisotropic geometries...
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JenBridge: Adaptive Long-Form Video Soundtracking across Scene Transitions
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UniDial-EvalKit: A Unified Toolkit for Evaluating Multi-Faceted Conversational Abilities
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Nvidia partners with LG robotics to build humanoid robots in South Korea
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