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System Intelligence, powered by Graph Engineering, transforms how we coordinate multiple LLM agents to tackle complex tasks that exceed the capacity of individual intelligence.
Delays in cloud-side inference can be effectively compensated, retaining over 80% performance in imitation-learning tasks even under significant latency.
Bending-aware constraints in BendTwin lead to superior mechanical stability and fidelity in reconstructing deformable objects from video, outperforming traditional models.
Hierarchical post-training can significantly enhance robotic manipulation by enabling agents to better navigate complex tasks through effective subgoal decomposition.
ProtoAct turns complex biological protocols into precise robotic actions, enabling seamless execution of lab procedures by machines.
Achieving a response rate of 0.88 in full-duplex interactions, JoyAI-Talker redefines how empathetic voice agents can engage in natural conversations even amidst interruptions.
AWARE-FX reveals that a specialized AI system can effectively quantify corporate hedging disclosures, providing insights that challenge the efficacy of generic LLMs in domain-specific contexts.
