AI-Native
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
VibeOS: First ever AI-native operating system
First ever AI-native operating system. From hardware to UI – Claude Code controls everything on your computer Watch how vibeOS transforms your ideas into reality. From simple prompts to fully functional applications - everything happens instantly on your screen.
Microskill Architecture: A Modular Skill-Driven Framework for AI-Native Code Generation
Announce Type: new Abstract: Large language models and AI coding agents have reshaped software development, but the path to fully AI-native systems faces structural challenges. Chief among them is managing context windows without losing accuracy or efficiency. When developers inject full project documentation and code into a model's memory, the model loses mid-sequence information, token costs spiral, and architecture drifts.
Environment-Division Multiple Access: an Enabler for AI-Native Multiple Access
arXiv:2606.07025v1 Announce Type: new Abstract: In this article, a new type of multiple access, termed Environment-Division Multiple Access (EDMA), is introduced and its interaction with AI-native communication networks is illustrated. In particular, the key properties of EDMA, such as utilizing the features of wireless propagation environments, integrating advanced flexible antennas, and proactively reconfiguring propagation environments, are described. The article also illustrates two...
AI-Native Closed-Loop Security for 6G-Enabled Cyber-Physical Systems: From Edge Detection to Network-Wide Mitigation
arXiv:2606.08173v1 Announce Type: new Abstract: In sixth-generation (6G) networks, billions of cyber-physical systems (CPSs) - autonomous vehicles, smart grids, industrial robots, and remote-surgical equipment - will run over ultra-reliable low-latency slices, collapsing the gap between a remote breach and physical harm to milliseconds, a budget perimeter firewalls and centralised security operations centres cannot meet. This survey reframes 6G CPS security as a closed-loop, AI-native...
From Craft Practice to Aesthetic Cognition Transmission: Workflow Cognition Translation for AI-native Intangible Cultural Heritage Education
arXiv:2606.01203v1 Announce Type: new Abstract: Intangible Cultural Heritage (ICH) education has traditionally relied on apprenticeship, embodied participation, and long-term engagement with masters, materials, and cultural environments. While these modes of transmission remain essential, they are difficult to scale. Existing digital heritage initiatives have expanded documentation and access, but often preserve artefacts, procedures, and representations of practice rather than the aesthetic...
XAI-on-RAN: Explainable, AI-native, and GPU-Accelerated RAN Towards 6G
Announce Type: cross Abstract: Artificial intelligence (AI)-native radio access networks (RANs) will serve vertical industries with stringent requirements: smart grids, autonomous vehicles, remote healthcare, industrial automation, etc. To achieve these requirements, modern 5G/6G design increasingly leverage AI for network optimization, but the opacity of AI decisions poses risks in mission-critical domains. These use cases are often delivered via non-public networks (NPNs) or dedicated...
Science Earth: Towards A Planet-Scale Operating System for AI-Native Scientific Discovery
arXiv:2606.01316v1 Announce Type: new Abstract: Scientific discovery demands intelligence, perseverance, and serendipity across vast search spaces. Today, top scientific capabilities remain siloed--one AI system for biological analysis, another for clinical reasoning, mathematical derivation, or materials simulation--and no pre-designed team can anticipate every skill a question will need. Science Earth is a planet-scale scientific runtime in which any capability--a simulation cluster, a...
CaFTRA: Frequency-Domain Correlation-Aware Feedback-Free MIMO Transmission and Resource Allocation for 6G and Beyond
arXiv:2512.03767v3 Announce Type: replace Abstract: The fundamental designs of wireless systems toward AI-Native 6G and beyond are driven by the need for ever-increasing demand of mobile data traffic, extreme spectral efficiency, and adaptability across diverse service scenarios. To overcome the limitations posed by feedback-based multiple-input and multiple-output (MIMO) transmission, we propose a novel frequency-domain Correlation-aware Feedback-free MIMO Transmission and Resource...
Practical Cross-Band Channel Prediction for AI-RAN via Physics-Guided Deep Unfolding
arXiv:2605.31279v1 Announce Type: cross Abstract: To make cross-band channel prediction practical for AI-native RAN, algorithms must generalize across diverse environments and support real-time inference. Existing approaches achieve one but not both. To bridge this gap, we introduce GUIDE, a physics-guided deep unfolding framework that embeds wireless channel physics into differentiable layers.
Emerge Career (YC S22) Is Hiring a Founding Growth Marketer
About the Role We are looking for our first AI-forward growth marketer who wants to outperform entire marketing teams. The engine is already running. You'll inherit real traction and real data, not a blank slate.