The Archive

PG-KINN: physics-informed Petrov-Galerkin Kolmogorov-Arnold Networks for forward and inverse PDE solving with improved interpretability.

Empirical study of quantum-kernel geometry preservation on IBM hardware under dynamical decoupling and gate twirling.

ARROW: first online stochastic variance reduction algorithm for MMD and CORAL domain adaptation on streaming data.

LLMs extract natural-language abstractions from solution traces to improve problem-solving via retrieval and RL-augmented training on math tasks.

Anthropic launches Economic Index connector for Claude, enabling exploration of AI and work data through conversational interface.

Anthropic outlines research priorities for its Economic Futures Research Fund, focusing on AI's labor and economic impacts.

Paired Sampling for Domain Adaptation (PSDA) applies variance reduction to unsupervised domain adaptation losses via cross-domain observation pairing.

"This is day one for cybersecurity in the age of agents," Hugging Face CEO says.

Vision-language models show consistent performance gaps based on image-vs-question modality order; test-time training method closes gap across benchmarks.

With a camera on every pair, Gogle and Samsung’s AI glasses face the same privacy problems as Meta’s. | Photo: Dominic Preston / The Verge Samsung has given us our first chance to check out its upcoming smart glasses in person, revealing two new designs and the first specs in the process, including an impressive 9-hour battery life. The glasses, developed in collaboration with Google and the eyewear brands Gentle Monster and Warby Parker, are due to launch this fall. Google and Samsung have been teasing the new glasses for some time, and revealed the first two designs at I/O in May. Now there...

A TensorRT engine build can take seconds to many minutes. Large strongly typed models, deep tactic search, and a cold timing cache on a brand-new GPU SKU can... A TensorRT engine build can take seconds to many minutes. Large strongly typed models, deep tactic search, and a cold timing cache on a brand-new GPU SKU can leave developers, end users, or AI agents staring at a frozen terminal with no idea whether to wait, retry, or kill the process. Most NVIDIA TensorRT integrations report nothing during a build or provide no way to abort early. Source

Full-text AI detection on 14k Amazon self-published books (2023–2026) shows AI-heavy titles dominate catalog but underperform in sales.

DEED framework closes sim-to-real gap for humanoid robots via data-efficient post-training and experience learning on Unitree G1-Edu with GR00T N1.6.

Interval and fuzzy physics-augmented neural networks (iPANN, fPANN) quantify uncertainty in hyperelastic constitutive modeling from sparse/noisy data.

As Chinese AI models grow in capability and popularity among US companies, the arguing over what should be done about them has reached a fever pitch.

Substack is giving readers a way to estimate how much of a newsletter was written by AI, signaling a broader shift toward transparency around AI-assisted content.

Web analytics (Aug 2023–Oct 2025) show ChatGPT, Perplexity, Gemini drive measurable referral traffic to academic library resources, particularly theses databases.

PyroDash enables cost-efficient SLM-LLM collaborative inference by training SLM to emit control tokens requesting frozen LLM handoff during generation.

OpenAI will spend the equivalent of Sweden's GDP on infrastructure through 2030.

Condition Dropout (ConD) mitigates RGB-D semantic segmentation degradation when one sensor modality fails via continued training with dropout simulation.

Multi-modal transformer jointly processes time-series, wavelet, and spectral representations for nanopore blockade signal classification in single-molecule sensing.

Graph neural networks trained on finite-volume residuals for 3D thermo-fluid prediction without labeled data.

Decentralized online optimization for strongly geodesically convex losses on Riemannian manifolds.

Deep neural network regression under covariate shift from dependent data using quantile and Huber loss.

Quantum autoencoders for anomaly detection in high-energy physics compiled to FPGA hardware accelerators.

PortLLM fine-tuning portability via LoRA explained by high-dimensional near-orthogonality across continual pretraining.

232k dataset-model-app chains show license obligations stripped in AI supply chains; 'license laundering' quantified.

Multi-robot task planner anticipates future tasks to reduce cumulative cost in shared persistent environments.

PAC bounds on LLM harmful output probability via latent-space-guided tree exploration and Clopper-Pearson intervals.

Interpretable Mamdani fuzzy regression extension for Ex-Fuzzy library with target-aware partition initialization.