daily brief: 2026-05-15
ai reshapes energy, finance, and research while talent shifts and new tools emerge.
aitag data science
summaries filed under data science
time-series feature engineering with python itertools
build efficient time series features like lags, rolling windows, and seasonal interactions using python's itertools module.
aiai agents reshape data science in 2026
ai agents will automate data cleaning, feature engineering, and model tuning, letting data scientists focus on strategy and problem-solving.
aiturboquant compresses llm caches to 3 bits
google's turboquant uses polarquant and qjl to cut kv cache memory by over 5x without retraining or accuracy loss.
airegret metric exposes cost of strict false discovery control
a new weighted regret metric reveals deterministic online multiple testing procedures suffer linear regret from false negatives, and a decoupled wrapper fixes it.
aiadaptive importance sampling fixes quantized rl training
a new method corrects policy gradient bias from low-precision rollouts in llm reinforcement learning, preventing training collapse.
aidaily brief: 2026-05-14
openai eyes legal action against apple, recursive superintelligence lands $650m, and cerebras goes public in a busy ai news day.
ai5 small language models for agentic tool calling
five compact open-weight language models that support structured tool calling for agentic ai workflows.
aihow weak-to-strong generalization works in neural networks
a new theory shows that fine-tuning a strong model on a weak model's outputs can elicit pre-trained knowledge without losing general skills.
aionline conformal prediction with nested sets
new methods produce nested prediction sets across multiple coverage levels for simultaneous uncertainty quantification in online settings.
ai10 github repos to learn self-hosting
a curated list of github repositories that teach self-hosting skills from discovery to deployment, monitoring, and secure access.
aispatial adapter adds structured residuals to frozen models
a new post-hoc layer gives frozen predictors a spatial view of errors and a closed-form covariance without retraining.
aivalid inference after active data collection
a new framework enables valid statistical inference when reusing data from adaptive sampling methods like bayesian optimization.
aiadamw-trained transformers converge to ode system
large-depth transformers trained with adamw converge uniformly to a forward-backward ode system, with explicit convergence rates.
aidecentralized novelty detection with quantized model exchange
a method for decentralized novelty detection that controls false discovery rate without sharing raw data, using low-precision model exchange.
aipython scripts for time series analysis
five reusable python scripts handle common time series tasks like resampling, anomaly detection, decomposition, forecasting, and multi-series comparison.
aidaily brief: 2026-05-12
google gives android agentic ai, anthropic flags unauthorized share sales, and a polars vs pandas deep dive shows clear speed wins.
aipolars vs pandas: real-world performance deep dive
a comparison of polars and pandas on three data tasks shows polars is faster and uses less memory due to lazy evaluation and parallelism.
aiactive multi-predictor inference cuts label costs
a new method routes each case to a cost-appropriate set of predictors and samples labels based on uncertainty, reducing variance under a fixed budget.
ai10 github repos to learn fastapi
a curated list of ten github repositories that help developers learn fastapi through templates, examples, auth tools, microservices, and ml projects.
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