The Archive

Information-theoretic criteria for selecting basis functions in sparse Gaussian process regression to optimize M-budget allocation across candidate bases.

llm-typesafe 0.1a0 plugin adds support for TypeSafe AI's Jev model to the LLM CLI for structured classification tasks.

Greedy LLM decoding produces different outputs across BF16/FP16 precision with 49-100% prompt divergence, challenging determinism assumptions in inference.

MMAP pretraining framework handles missing multimodal data and incomplete records for longitudinal Alzheimer's disease progression prediction.

Framework identifies semantic abstraction gaps in LLM natural language inference via constructed higher-order semantic knowledge and reasoning diagnostics.

Foundation model embeddings from screening mammograms encode pre-diagnostic tissue changes detectable before cancer diagnosis, varying by pretraining domain.

Hierarchical GNNs with latent communication improve power-flow model generalization across grid topologies using Kron-derived graph reductions.

Mixture-of-experts with diffusion models for cross-scenario physical layer security in 6G wireless networks.

GTR: softmax-free recurrent vision backbone using gated linear attention and spatial scans for efficient dense prediction, distilled from DINOv3.

Polyak-type step-size selection for extragradient methods solving monotone root-finding problems with unified deterministic analysis.

Language models conflate sycophancy with receptiveness; social psychology framework shows behavioral overlap creates construct-validity problems in current evals.

Quantum-aided active device detection for energy-harvesting symbiotic radio networks using NOMA in IoT deployments.

Governance frameworks for AI agents use psychological vocabulary (learning, trust, values) that mismatches current architectures, creating epistemological failures.

Neutral-atom quantum computing applied to NP-hard resource allocation problems (MAP) in NOMA wireless networks.

Decision-only LLM judge scales evaluation cost-effectively to 0.36% of full-judge fees, matches state-of-the-art on preference tasks, flags uncertain escalations.

UFO-MGen: flow-based generative model for crystal structure design learning Wyckoff topological representations for materials discovery.

At TechCrunch Disrupt 2026, five sessions across the AI Stage and Real World AI Stage cover AI safety, featuring leaders from Anthropic, NVIDIA, AWS, Waabi, and more. Register now to save up to $200 before Sept 25.

Autonomy-1 will have a small, transformer-based AI model taking charge of a space probe.

Epistemological assessment of LLMs used in infant syntax acquisition research, examining dataset construction and model implementation in the BabyLM challenge.

Mathematical foundations of Fourier-Bessel wavelets derived from disk harmonics and Helmholtz equation solutions.

Joint recognition and translation fine-tuning via group relative policy optimization (GRPO) for LLM-based speech translation with Qwen2.5-Omni-3B.

REFLEX agent architecture combines fast typed decision layer (Jev) with LLM fallback, achieving 95% task success with 72.7% fewer strong-model calls.

Semiotic framework evaluates NLG fidelity and coverage by measuring contextual meaning and discourse references between texts.

Comparison of CNNs and vision transformers via EEG encoding models across network depth, testing token representations.

Analysis of Oja's algorithm for gap-free streaming PCA with near-optimal convergence rates and differential privacy applications.

Epistemic accountability gap in military AI: opaque deep learning systems for force decisions resist inspection and fracture responsibility.

Benchmark evaluation of 12 generative crystal structure prediction models; template retrieval outperforms diffusion and latent-variable approaches.

Hello Robot CEO and co-founder Aaron Edsinger will bring Stretch 4 for a live demo on the Real World AI Stage at TechCrunch Disrupt 2026. Register before September 25 to save up to $200, plus get a second pass at 50% off.

Feature-wise linear modulation (FiLM) integrates radiomics with RenalCLIP foundation model for CT-based renal cell carcinoma classification.

We have reopened our exhibitor program for 1 more week. Book your exhibit table by September 30 at 11:59 p.m. PT and showcase your startup in front of 10,000+ founders, investors, and tech leaders at SF's Moscone West from October 13-15.