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RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies

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arXiv:2607.04434v3 Announce Type: replace-cross Abstract: Generalist robot manipulation policies have advanced rapidly, yet existing benchmarks remain limited in systematically evaluating their capabilities. Many rely on simple, short-horizon, or skill-narrow tasks with limited capability coverage, and are often conducted only in simulation or only in the…

Source: cs.AI updates on arXiv.org

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The Download: worms fight pollution, and geoengineering faces reality

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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. Why worms (and microbes) are catching on as a manure pollution solution Anthony Agueda, a third-generation California dairy farmer, pulls a…

Source: MIT Technology Review

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AI Models Overthink Problems—and It’s a Security Risk

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Large language models (LLMs) that can think through problems step-by-step have significantly increased the scope of tasks that AI can tackle. But new research suggests these reasoning capabilities also introduce a critical vulnerability that could allow attackers to slow these systems to a crawl.While earlier…

Source: IEEE Spectrum

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Agentic AI for Commercial Insurance Underwriting with Adversarial Self-Critique

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arXiv:2602.13213v2 Announce Type: replace Abstract: Commercial insurance underwriting is a labor-intensive process that requires manual review of extensive documentation to assess risk and determine policy pricing. While AI offers substantial efficiency improvements, existing solutions lack comprehensive reasoning and internal mechanisms to ensure reliability in regulated,…

Source: cs.AI updates on arXiv.org

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DecepGPT: Schema-Driven Deception Detection with Multicultural Datasets and Robust Multimodal Learning

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arXiv:2603.23916v4 Announce Type: replace-cross Abstract: Multimodal deception detection aims to identify deceptive behavior by analyzing audiovisual cues for forensics and security. In these high-stakes settings, investigators need verifiable evidence connecting audiovisual cues to final decisions, along with reliable generalization across domains and cultural contexts. However,…

Source: cs.AI updates on arXiv.org

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Perceptually Aligning Representations of Music via Noise-Augmented Autoencoders

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arXiv:2511.05350v3 Announce Type: replace-cross Abstract: We argue that training autoencoders to reconstruct inputs from noised versions of their encodings, when combined with perceptually motivated losses, yields encodings that are structured according to a perceptual hierarchy. We demonstrate the emergence of this hierarchy by showing that,…

Source: cs.AI updates on arXiv.org

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