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uniform control schedules hurt text quality in discrete diffusion models, but a new adaptive scheduler improves multi-attribute steering by aligning interventions with each attribute's unique denoising timeline.
a new post-hoc layer gives frozen predictors a spatial view of errors and a closed-form covariance without retraining.
a new framework enables valid statistical inference when reusing data from adaptive sampling methods like bayesian optimization.
large-depth transformers trained with adamw converge uniformly to a forward-backward ode system, with explicit convergence rates.
new method finds exact softmax bounds from score intervals, reducing slack in transformer robustness checks.
balora extends lora with bayesian adaptation, improving accuracy and providing uncertainty estimates for large model fine-tuning.
a new medicare program tests outcome-based payments that reward ai-driven care for chronic conditions, but most tech companies haven't noticed.
a method for decentralized novelty detection that controls false discovery rate without sharing raw data, using low-precision model exchange.
five reusable python scripts handle common time series tasks like resampling, anomaly detection, decomposition, forecasting, and multi-series comparison.
google launches rambler, a gemini-powered dictation feature in gboard, challenging ai dictation startups on android.
google announced googlebook laptops with gemini, vibe-coded widgets, and ai features across android at its virtual event.
google gives android agentic ai, anthropic flags unauthorized share sales, and a polars vs pandas deep dive shows clear speed wins.
google announced new gemini intelligence features for android, including cross-app task completion, web browsing, form filling, and natural language widget creation.
anthropic alerts investors that several secondary platforms are not authorized to sell its shares, amid rising demand for ai company equity.
arm releases hands-on jupyter labs to deploy pytorch models on edge cpus and npus using executorch.
a comparison of polars and pandas on three data tasks shows polars is faster and uses less memory due to lazy evaluation and parallelism.
sam altman testified that elon musk once suggested openai could pass to his children, raising safety concerns during the nonprofit's early for-profit debates.
a free-energy perspective distinguishes whether post-training reweights existing model behaviors or creates new ones.