As machine learning has moved towards leveraging large models as priors for downstream tasks, the community has debated the right form of prior for solving reinforcement learning (RL) problems. If one were to try to prefetch as much computation as possible, they would attempt to learn a prior over the policies for some yet-to-be-determined reward function. Recent work (forward-backward (FB) representation learning) has tried this, arguing that an unsupervised representation learning procedure can enable optimal control over arbitrary […]

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arXiv:2603.26301v1 Announce Type: cross Abstract: Many causal discovery algorithms, including the celebrated FCI algorithm, output a Partial Ancestral Graph (PAG). PAGs serve as an abstract graphical representation of the underlying causal structure, modeled by directed acyclic graphs with latent and selection variables. This paper develops a characterization of the set of extended-type conditional independence relations that are invariant across all causal models represented by a PAG. This theory allows us to formulate a general measure-theoretic version of Pearl’s […]

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arXiv:2602.11187v1 Announce Type: new Abstract: The rapid growth of electronics has accelerated the adoption of 2.5D integrated circuits, where effective automated chiplet placement is essential as systems scale to larger and more heterogeneous chiplet assemblies. Existing placement methods typically focus on minimizing wirelength or transforming multi-objective optimization into a single objective through weighted sum, which limits their ability to handle competing design requirements. Wirelength reduction and thermal management are inherently conflicting objectives, making prior approaches inadequate for practical […]

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arXiv:2602.16831v1 Announce Type: new Abstract: This paper presents a low-thrust trajectory optimization strategy to achieve a near-circular lunar orbit for a CubeSat injected into a lunar flyby trajectory. The 12U CubeSat HORYU-VI is equipped with four Hall-effect thrusters and designed as a secondary payload on NASA’s Space Launch System under the Artemis program. Upon release, the spacecraft gains sufficient energy to escape the Earth-Moon system after a lunar flyby. The proposed trajectory is decomposed into three phases: (1) […]

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Separable polynomial constraints arise naturally in numerous engineering applications, including sensor positioning systems, robotic kinematics, and regularized optimization. While general-purpose iterative solvers are widely available, their computational overhead and non-deterministic convergence behavior can be limiting factors in real-time and resourceconstrained environments. This paper presents the Parametric K-Formula (PK-Formula), a straightforward closed-form method for solving a specific but practically important class of separable polynomial equations. The method achieves O(n) computational complexity through parametric decomposition, offering 50–120× speedups over Newton-Raphson […]

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The Fear I like AI and have been working with the technology for over a decade. It’s been exciting, interesting, and inspiring — until recently. As I write this in mid-February of 2026, software stocks are in freefall and social media is inundated with videos of AI company CEOs predicting the looming collapse of the software industry. They tell us the story we’ve heard on loop for two years: “Most white-collar work will be fully automated within a […]

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OpenAI says its moving away from Instant Checkout, which allowed users to buy items directly through the ChatGPT interface.

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arXiv:2406.16227v2 Announce Type: replace Abstract: Effective clustering of biomedical data is crucial in precision medicine, enabling accurate stratifiction of patients or samples. However, the growth in availability of high-dimensional categorical data, including `omics data, necessitates computationally efficient clustering algorithms. We present VICatMix, a variational Bayesian finite mixture model designed for the clustering of categorical data. The use of variational inference (VI) in its training allows the model to outperform competitors in term of efficiency, while maintaining high accuracy. […]

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How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## The 5 Best Suits From Marvel’s Spider-Man By @joseh [ 4 Min read ] The Vintage Comic Book Suit, the Spider Armor – MK III, and the Upgraded Suit are some of the best suits in Marvel’s Spider-Man. Read More. AI GTM Strategy: Why […]

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arXiv:2603.03378v2 Announce Type: new Abstract: Large language model (LLM) agents offer a promising data-driven approach to automating Site Reliability Engineering (SRE), yet their enterprise deployment is constrained by three challenges: restricted access to proprietary data, unsafe action execution under permission-governed environments, and the inability of closed systems to improve from failures. We present AOI (Autonomous Operations Intelligence), a trainable multi-agent framework formulating automated operations as a structured trajectory learning problem under security constraints. Our approach integrates three key […]

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