arXiv:2601.09771v1 Announce Type: new Abstract: Modern LLM-based recommenders can generate compelling ranked lists, but they struggle to reliably satisfy governance constraints such as minimum long-tail exposure or diversity requirements. We present PCN-Rec, a proof-carrying negotiation pipeline that separates natural-language reasoning from deterministic enforcement. A base recommender (MF/CF) produces a candidate window of size W, which is negotiated by two agents: a User Advocate optimizing relevance and a Policy Agent enforcing constraints. A mediator LLM synthesizes a top-N slate […]

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arXiv:2601.08960v1 Announce Type: new Abstract: In practice, the cost of delaying a job can grow as the job waits. Such behavior is modeled by the Time-Varying Holding Cost (TVHC) problem, where each job’s instantaneous holding cost increases with its current age (a job’s age is the time since it arrived). The goal of the TVHC problem is to find a scheduling policy that minimizes the time-average total holding cost across all jobs. However, no optimality results are known […]

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Over the past few years working with data teams inside large enterprises, I’ve met a lot of data leaders who tell me they’ve tried and failed to “do DataOps.” The pattern is usually the same. They write standards, add a few tests, and stand up observability tools. Processes get documented. Release checklists are made. Teams try—earnestly—to follow them. And then the backlog piles up, exceptions multiply, and the team has to hold it all together with memory and […]

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Assessment of sperm morphological quality remains a critical yet subjective component of male fertility evaluation, often limited by inter-observer variability and resource constraints. This study presents a comparative biomedical artificial intelligence framework evaluating an image-based deep learning model (HuSHeM) alongside a clinically grounded baseline derived from World Health Organization criteria augmented with the Systemic Inflammation Response Index (WHO(+SIRI)). The HuSHeM model was trained on high-resolution sperm morphology images and evaluated using an independent clinical cohort. Model performance was […]

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arXiv:2601.02523v1 Announce Type: cross Abstract: Artificial intelligence has advanced rapidly through large neural networks trained on massive datasets using thousands of GPUs or TPUs. Such training can occupy entire data centers for weeks and requires enormous computational and energy resources. Yet the optimization algorithms behind these runs have not kept pace. Most large scale training still relies on synchronous methods, where workers must wait for the slowest device, wasting compute and amplifying the effects of hardware and network […]

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arXiv:2601.07855v1 Announce Type: new Abstract: For 3D perception systems to be practical in real-world applications — from autonomous driving to embodied AI — models must adapt to continuously evolving object definitions and sensor domains. Yet, research on continual and transfer learning in 3D point cloud perception remains underexplored compared to 2D vision — particularly under simultaneous domain and label shifts. To address this gap, we propose the RObust Autonomous driving under Dataset shifts (ROAD) benchmark, a comprehensive evaluation […]

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If you work in cybersecurity, you are intimately familiar with the phone call. The one that comes at 3 AM or in the middle of a planned vacation. The one where a panicked voice describes a network that’s been compromised, data that’s been exfiltrated, or systems that have been encrypted. Your job, in that moment, is not to ask why. It is to clean up the mess. This article is about what happens after the technical incident is […]

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NVIDIA founder and CEO Jensen Huang took the stage at the Fontainebleau Las Vegas to open CES 2026, declaring that AI is scaling into every domain and every device. “Computing has been fundamentally reshaped as a result of accelerated computing, as a result of artificial intelligence,” Huang said. “What that means is some $10 trillion or so of the last decade of computing is now being modernized to this new way of doing computing.” Huang unveiled Rubin, NVIDIA’s […]

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