Long-horizon reasoning exposes a core weakness in AI agents: context windows fill up fast, and retrieval pipelines return noise instead of signal. To solve this, researchers at the National University ...

Part of the Kraken stack: Fathom (reasoning engine) · Nautilus (policy data broker) · Stargraph (agent-graph framework). Stargraph composes LLMs, classical ML models, tools, and deterministic logic ...

A new machine learning framework designed to detect malicious interference in unmanned aerial vehicles (UAVs), commonly known as drones, has shown strong performance in identifying both sudden and ...

Picking a JavaScript framework in 2026 is not the casual decision it was a decade ago. The framework you choose today will shape your application’s performance, security posture, hiring costs, and ...

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20+ years in tech. Currently deep in LLMs and agentic systems. Writing about what I'm actually building. Sydney-based. O At some point in building an agentic system, you will hit the same wall. An ...

Hi, friends, being AI enthusiast, I'm an MBA, CEO and CPO who loves building products. I share my insights here.) For the last decade, the web development industry has been dominated by a singular ...

Retrieval-Augmented Generation (RAG) has become a standard technique for grounding large language models in external knowledge — but the moment you move beyond plain text and start mixing in images ...

Abstract: Effective traffic monitoring is a cornerstone of intelligent transportation systems, enabling safer and more efficient urban mobility. Among emerging sensing modalities, Light Detection and ...

Abstract: Computing graph-propagation based node similarities is a fundamental operator in many graph mining and graph learning tasks. The state-of-the-art approach to compute the graph-propagation ...