PUBG Ally: A Conversational Embodied Agent as an AI Teammate

arXiv:2609.29837v2 Announce Type: replace Abstract: We introduce PUBG Ally, an embodied agent for PUBG: BATTLEGROUNDS that can reason, act autonomously, and play alongside players as a voice-enabled teammate. Building such a teammate requires combining two difficult capabilities: it must perceive and respond to a constantly…

Source: cs.AI updates on arXiv.org

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Different Corruptions, Different Signals: Uncertainty and Loss in Federated Data Quality

arXiv:2609.31454v1 Announce Type: cross Abstract: Federated learning (FL) data corruption can affect either inputs or labels, but it remains unclear whether input-conditional uncertainty and prediction-label loss expose these corruption modes equally. This paper compares two corruption-detection signals in FL: input-conditional uncertainty and prediction-label loss. The…

Source: cs.AI updates on arXiv.org

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The Download: the Pentagon’s AI-powered lie detector and young organ limits

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The Pentagon wants $30 million to build an AI-powered lie detector The US government wants to spend $30.3 million over the…

Source: MIT Technology Review

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The Pentagon wants $30 million to build an AI-powered lie detector

The US government wants to spend $30.3 million over the next five years on an improved form of lie detector, according to a Department of Defense budget request. The program, called Polygraph+ or Polygraph Next, will focus on scoring algorithms that use artificial intelligence and…

Source: MIT Technology Review

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Young organs may not be a fountain of youth for recipients

Around this time last year I was attending an aging conference in Manchester, listening to a talk about fly aging, when my phone started pinging. News outlets were reporting that a hot mic had caught Russia’s and China’s leaders discussing the possibility of living forever.…

Source: MIT Technology Review

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When Agents Act Unwatched: The Reduced-Supervision Paradox in Agentic AI

arXiv:2609.29547v1 Announce Type: cross Abstract: Agentic AI is sold on a simple promise: the system keeps acting when the user stops watching. That promise creates an accountability inversion. As stepwise supervision recedes, verification does not disappear; it moves into the runtime infrastructure that defines authority,…

Source: cs.AI updates on arXiv.org

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MorphIK: Morphology-Conditioned Neural Inverse Kinematics for Unknown Robots

arXiv:2609.29908v1 Announce Type: cross Abstract: Neural models can learn to generate various solutions to the inverse kinematics problem from data, but are usually limited to a single robot. We present MorphIK, a flow-matching model that solves inverse kinematics for revolute-joint-based kinematic chains it has never…

Source: cs.AI updates on arXiv.org

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