Engineering & Technical Research
Deep-dives, architecture logs, and research publications directly from leading AI labs and engineering hubs.
When a Verified World Model Still Loses: Play-Adequacy vs Prediction-Accuracy in LLM-Synthesized Code World Models
Large language models can synthesize a game's rules as executable code - a Code World Model (CWM) - which a classical planner then searches over. Such models...
RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination
Embodied cognition requires agents to connect high-level task reasoning with the physical states to be achieved. We introduce Hy-Embodied-RxBrain, an...
The Steering Budget: Examples beat Knobs
Generative models are steered with knobs -- prompt, guidance scales, property tags. Turn one as hard as you like and, past a point, it stops moving the...
Orchestrating Power Grid Studies with Multi-Agent AI and MCP Servers
This position paper explores how Agentic AI and Model Context Protocol (MCP) can support power-grid studies in a Transmission System Operator (TSO) context...
MemoHarness: Agent Harnesses That Learn from Experience
An agent harness is the external control layer that turns a base LLM into an executable agent by managing context, tools, orchestration, memory, decoding...
Enhancing Small Language Models Reasoning through Knowledge Graph Grounding
Although large language models (LLM) have set benchmarks for zero-shot reasoning, their deployment remains cost-prohibitive and environmentally taxing...
Align AI to Dynamic Human-AI Workflows
Current alignment approaches typically focus on emulating human behavior using static representations of human preferences, failing to capture the dynamic...
How Artificial Intelligence LLM Engines Shape the Global Conflict Information Environment
Artificial Intelligence (AI) answer engines now field a growing share of the questions that analysts, scholars, and the public ask about issues of peace and...
ReasFlow: Assisting Reasoning-Centric Scientific Discovery in Applied Mathematics via a Knowledge-Based Multi-Agent System
Recent advances in Large Language Models have fueled autonomous AI agent capable of tackling complex scientific tasks, yet existing automated research...
RegNetAgents: A Multi-Agent Framework for Cross-Network Regulatory Driver Identification in Cancer Genomics
We introduce RegNetAgents, an AI-oriented multi-agent framework for structured, query-driven regulatory candidate identification across heterogeneous gene...
Intelligent Three Level Learning Architecture for Autonomous UAV Swarms in Search and Rescue
This paper presents a novel three level hierarchical learning architecture for autonomous UAV swarms performing search and rescue operations. Unlike...
HG-RAG: Hierarchy-Guided Retrieval-Augmented Generation for Structured Knowledge Graphs
Retrieval Augmented Generation (RAG) has proven to be a widely successful process at improving the quality of outputs from a Large Language Model (LLM) for...
Interpretable Language Model for Closed-Loop Type 1 Diabetes Control
Type 1 Diabetes (T1D) is a chronic, life-threatening autoimmune condition characterized by the complete destruction of insulin-producing pancreatic beta...
Transform your sales organization with Amazon Quick: your new agentic AI teammate
In this post, we walk through a few ways that Quick delivers on this promise. We cover the entire sales cycle, from identifying your highest-priority...
The cost of saying yes has changed
The cost of writing code dropped; the cost of owning it didn't. A framework for deciding which changes are actually cheap in the AI era. The post The cost of...