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Microsoft's monthly release of security fixes, dubbed Patch Tuesday, resolved a record 570 security vulnerabilities across the company's product line, thanks to discoveries with AI.
TRACE assigns per-turn rewards for long-horizon multi-tool agents to improve credit assignment beyond sparse outcome rewards.
Extends empirical Bayes VAE to joint longitudinal and time-to-event modeling for tumor growth data.
Proposes structure-aware dance generation via atomic movements to improve choreographic coherence and controllability.
Constraint-aware counterfactual editing for aspect-based sentiment analysis with aspect-invalid preservation.
The Codex Micro is designed to monitor multiple agentic threads at a glance.
OpenAI is finally releasing some hardware. No, it isn't the mysterious AI-powered device the company is developing with former Apple designer Jony Ive, a project already tangled up in a messy lawsuit. Instead, it's a product designed to be used with its coding platform, Codex. The device, a square-shaped block of buttons called Codex Micro, is a collaboration between the AI company and keyboard maker Work Louder. OpenAI said it is a limited-run collaboration that will give users more ways to monitor and manage their agents. The pad closely resembles Work Louder's Creator Micro 2, and marketin...
DeltaMerge-LowRes composes language and task deltas in weight space for low-resource NLP adaptation.
Apple Intelligence is headed to China after regulators approved Apple’s AI services through a partnership with Alibaba. The long-rumored deal will bring Alibaba’s Qwen AI models to Apple’s operating systems, marking a major expansion of the company’s generative AI platform into one of its most important markets.
Improves mixing bounds for Dikin walks on polytopes using interior-point geometry.
HealthClaw agent maintains longitudinal health profiles via inductive memory updates across repeated encounters.
Unsupervised clustering on cardiac PET/MRI data for cardiomyopathy diagnosis; domain-specific medical imaging, not frontier AI.
Decoder-only Transformer (VAIOM) for continuous financial time-series prediction with categorical output distribution.
Formal differential-privacy framework for whistleblower protection against organizational retaliation via auditor-selection obfuscation.
Generative Compilation: decoder-level compiler feedback for LLM code generation without white-box model access.
Can a handful of engineers really do the work of an army of consultants? That’s the bet behind Ode with Anthropic — the joint venture dedicated to embedding forward-deployed engineers in enterprise firms, backed by Anthropic, Blackstone, Hellman & Friedman, Goldman Sachs and others. On this episode of TechCrunch’s Equity podcast, Rebecca Bellan sits down with Ode’s leaders Chris Taylor and Eddie Siegel, who founded Fractional AI, […]
DeepStress: stress-testing framework for search agents' robustness to degraded retrieval quality and evidence reliability.
Newton algorithm for nonnegative matrix factorization with Kullback-Leibler divergence; standard numerical optimization, not frontier AI.
Theory of partially-correlated verifier cascades for LLM output reliability; extends Odds Law with latent per-instance error rates.
StepUP 2nd competition: footstep biometrics on 150-person dataset; domain-specific benchmark unrelated to frontier AI.
Multilingual LLM prompting for high-order question generation in education using Bloom's Taxonomy.
AIMO Interpretability Challenge: competition to distinguish robust from spurious reasoning in frontier math LLMs via mechanistic analysis.
Quantum Kitchen Sinks applied to RF spectrogram anomaly detection with multi-depth re-uploading and ring entanglement on near-term quantum hardware.
PiVoT: variational Bayesian tracker for multi-object detection in radar point clouds under heavy clutter without external clustering.
Experience Memory Graph enables one-shot error correction for LLM agents via structured trajectory memory, reducing API costs and improving generalization.
Formalizes verification problem in causal graphical models: deciding if observational formulas correctly identify interventional distributions.
Training-free human-object interaction detection using multimodal LLMs for open-world compositional scenarios without dataset-specific supervision.
Task-oriented sensing and covert communications framework for multi-AUV underwater collaborative missions balancing perception and exposure risk.
AI-augmented digital twin with reaction-diffusion model and MPC for brain tumor evolution prediction and adaptive treatment scheduling.
Theoretically grounds reliable deletion of irrelevant conditions in decision trees using structural analysis, improving interpretability without sacrificing reliability.