data-poisoning audits for causal effect estimates
a new audit method checks how adding fake records can distort treatment effect estimates in pooled observational studies.
aitag data science
summaries filed under data science
10 ai newsletters worth your inbox
a curated list of 10 newsletters covering daily ai news, technical research, policy, and builder tools to help data scientists and engineers stay current.
aigoogle and kaggle release free 5-day agentic ai course
a self-paced course on building ai agents, covering architecture, tools, memory, evaluation, and deployment, now freely available.
aipulling apart forced and internal climate signals from one record
a new method separates human-driven climate change from natural swings using just a single temperature record, no large model ensembles needed.
aimixing-free graph recovery from glauber dynamics
new algorithms recover gaussian graphical models from a single trajectory without mixing time dependence, matching information-theoretic lower bounds.
aibatchdag uses llm-planned graphs for enterprise data analysis
batchdag lets llms create execution graphs to answer complex questions over large datasets without context limits or slow sequential calls.
aibandit convex optimization is harder than linear bandits
a new lower bound shows stochastic bandit convex optimization requires at least d^{5/4} sqrt(t) regret, proving it is fundamentally more difficult than linear bandits.
aifive free courses to become an ai practitioner
a curated roadmap of five free courses takes you from classical ai algorithms to building large language models from scratch.
aidaily brief: 2026-07-21
google ships three gemini flash models, data center power use forecast to quadruple, and a guide to running a local coding model with llama.cpp.
airun mythos coding model locally with llama.cpp and pi
a guide to running the qwythos-9b-claude-mythos-5-1m model locally using llama.cpp and connecting it to pi for agentic coding tasks.
aisplit forward gradients cut memory in deep network training
a new method splits networks to avoid storing activations during backpropagation, reducing memory use while keeping training stable.
aiisotonic conformal prediction
a new method for reliable uncertainty quantification that is computationally efficient and achieves self-calibration and prediction-conditional validity.
aidaily brief: 2026-07-20
nvidia shrinks world models for the edge, youtube cracks down on ai slop, and a practical guide to claude code.
aisetting up claude code for real agentic work
a practical guide to configuring claude code beyond defaults, covering key files, permissions, hooks, and commands for sustained high-performance use.
aifive mcp servers that actually improve agent capability
a practical selection of model context protocol servers chosen for real agent performance gains, not popularity.
airetraining seeks stable signals
new research shows retraining converges to a fixed point when prediction targets have a small model-independent component, even under strong performativity.
aicorrecting noisy human labels in automated classifiers
a new method uses adjudicated cases to fix noisy human audit labels and debias analyses from automated classifiers.
aiweekly brief: 2026-07-13-2026-07-19
eu clarifies high-risk ai rules, a nonprofit builds open ai infrastructure, and a new graph-based rag framework improves retrieval accuracy.
aidaily brief: 2026-07-19
eu clarifies high-risk ai rules, a nonprofit builds open ai infrastructure, and a new graph-based rag framework improves retrieval accuracy.
aieu ai act: your systems may already be high-risk
new eu guidelines clarify that an ai system's intended purpose, not just its technical function, can make it high-risk under article 6.
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