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Theoretical analysis of intervention timing under budget constraints: waiting reveals risk but closes opportunities, identifying exactly two moments per observation period.
The agents got in through credentials and connection settings left exposed in app configurations, public code repositories, and overly permissive cloud roles.
Examines quantum network control decisions for QoT estimation via computation, simulation, or learned surrogates, extending optical networking principles.
Self-Building Labs autonomously design and configure experimental setups from scratch given high-level scientific goals, automating laboratory adaptation.
ENFR uses evidence networks with flow-matched references for amortized Bayesian model inference, enabling goodness-of-fit and misspecification tests.
SO(3)-equivariant CNN on sphere for physics datasets respects rotational symmetry, reducing simulation requirements.
CocoRNA uses cooperative multi-agent RL to decompose RNA secondary structure design into collaborative sub-problems.
Stratechery weekly digest covering Apple, SpaceX, and sports; no AI-specific technical or research content.
Lossy speculative decoding inflates completion length via extended reasoning traces, offsetting token acceptance gains.
Context-bandit approach learns personalized memory gating policies for LM agents using delayed one-sided feedback.
Machine learning ensemble models predict fiber-reinforced concrete compressive strength under temperature exposure.
Paired-residual subspace removal improves multilingual text embeddings from frozen LLMs by disentangling language variation.
Consistent Sparse Dictionary Learning (ConSDL) improves SAE reproducibility via per-sample sparse coding instead of linear encoder.
Kernel Stein certificates provide task-aware Rényi differential privacy bounds using escort distributions.
FuTransformer CUDA kernel for Hopper GPUs uses FP8 prefill, INT4 decode, and direct KV-cache placement for Llama inference.
DrugHarness evolvable agent framework composes 80+ scientific operations and induces conditional skill hypotheses for drug discovery.
Analysis of primal-dual optimization for constrained MDPs under two-timescale non-stationarity, modeling oscillating constraint levels and sensitivity.
DLite enables history-free speculative decoding for agentic LLM inference, recovering 80% degraded acceptance rates in long-context workloads.
Transformer-based variational autoencoder for sampling lattice systems, applying attention and physics-informed priors to the 2D XY model.
Theoretical study of how two-layer neural networks learn target representations under proportional width/dimension scaling via SGD dynamics.
Method for enforcing structural constraints in graph diffusion models using First-Order Logic and classifier guidance to generate valid graphs.
Approach for weakly supervised anomaly detection on tabular data using semantic enhancement to mitigate overfitting on scarce labeled anomalies.
Method for machine learning-assisted discovery of conservation laws in dynamical systems, extending local flow-box invariants to global structure.
AI agents are changing how software gets built. Developers have gone from writing every line of code by hand to directing agents that write most of the code. As... AI agents are changing how software gets built. Developers have gone from writing every line of code by hand to directing agents that write most of the code. As a result, the current workflow is split across a laptop, a cloud model API, and a cloud VM. NVIDIA RTX Spark is built for AI development. Thanks to the NVIDIA GB10 system-on-a-chip and large unified memory, developers can run local… Source
VocalGrad benchmark for isolating acoustic perception failures in large audio language models, distinguishing paralinguistic understanding from reasoning.
Structured dataset of 5,346 Italian laws (1985–2026) extracted via LLM from parliamentary records, covering procedural events.
LagNet framework for long-term time series forecasting using lag-structured operators based on observed diagonal patterns in sensitivity matrices.
Gender inference model for Chinese names in bibliographic records addresses scientometrics bias but lacks AI architecture novelty.
Tight generalization bound for neural networks via representation quality achieves non-vacuous certificates on CIFAR-10 without parameter-space measures.
Deep learning model for continuous sleep-depth profiling from single-lead ECG shows medical application but limited AI frontier relevance.