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10 results for “surrogate”
Surrogate asks the Supreme Court to intervene over care for a sick baby - AP News
A surrogate mother has petitioned the U.S. Supreme Court to intervene in a medical decision regarding life-sustaining care for an infant she carried, raising novel questions at the intersection of reproductive law, medical ethics, and parental rights — but with no AI or technology relevance.
Sep 12, 2026
Vector Symbolic Policy Gradient
A new reinforcement learning method called Vector-Symbolic Policy Gradient (VSPG) is introduced, using hypervector representations for discrete actions to enable sample-efficient, memory-constrained, and noise-robust policy learning.
Aug 20, 2026
Paxton steps into high-profile legal battle between surrogate and parents over unborn baby - washingtonexaminer.com
Texas Attorney General Ken Paxton intervened in a legal dispute between a surrogate and intended parents over custody of an unborn child, asserting state interests in the case.
Published Aug 12, 2026 · Analyzed Aug 16, 2026
Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes
Researchers propose a model-agnostic, post-hoc sentence-level attribution method for proprietary LLMs using an Energy-Based Model surrogate to quantify prompt influence without repeated API calls.
Aug 5, 2026
Recursive transformers for semiconductor thermo-mechanical reliability
A new recursive transformer architecture is proposed to improve parameter efficiency and computational cost for surrogate modeling in semiconductor thermo-mechanical reliability analysis, where training data is scarce and first-principles simulation is prohibitively expensive.
Jul 31, 2026
SLPO: Scaling Latent Reasoning via a Surrogate Policy
Researchers propose SLPO, a new reinforcement learning method to enable outcome-reward optimization in latent reasoning models—addressing key limitations that previously prevented test-time scaling in continuous-vector-based reasoning systems.
Jul 23, 2026
ADS-C: Antidistillation Sampling for Classification
ADS-C is a new antidistillation sampling method for classification models that preserves teacher accuracy while degrading surrogate model performance, addressing knowledge distillation attacks without utility cost.
Jul 20, 2026
Physics-Audited Agentic Discovery in Scientific Machine Learning
Researchers propose Physics-Audited Agentic SciML (PA-SciML), a verification-first workflow that requires LLM agents to validate surrogate models against explicit, machine-checkable physics constraints—not just error metrics—before declaring them verified.
Jul 10, 2026
TRIE: An Evaluation Framework for Stochastic PDE Surrogates
Researchers introduce TRIE, an evaluation framework for stochastic PDE surrogates.
Published Jul 2, 2026 · Analyzed Jul 5, 2026
SNAP-FM: Sparse Nonlinear Accelerated Projection for Physics-Constrained Generative Modeling
Researchers propose a new method to accelerate physics-constrained generative modeling.
Published Jul 2, 2026 · Analyzed Jul 5, 2026