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.
aitag machine learning
summaries filed under machine learning
pytorch foundation projects update q2 2026
pytorch foundation projects including pytorch, vllm, deepspeed, ray, helion, and safetensors report key developments in performance, hardware support, and community growth.
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.
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.
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.
aifinding concentrated false-confidence regions in model predictions
a new method called falcon-discover ranks predictions to find local clusters of confident errors, outperforming standard calibration baselines.
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.
aipicking ocr tools without ground truth
a new framework evaluates ocr engines and multimodal llms on scanned documents without needing manual labels, using a correction-based approach.
aisimulation engines for physical ai in 2026
an overview of modern simulation engines for robotics and physical ai, covering mujoco, isaac sim, isaac lab, and newton.
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.
aigrabette: open handheld gripper for robot data
grabette is an open-source handheld gripper that records manipulation tasks without a robot, turning them into training-ready datasets.
aillm unlearning for cyber defense survey
a survey on methods, challenges, and emerging threats of making large language models forget sensitive or dangerous knowledge for cybersecurity.
airl-guided nsga-ii with gray relational coefficients for portfolio optimization
a new algorithm combines reinforcement learning and gray relational analysis to improve multi-objective optimization for nasdaq portfolio selection.
aitighter tolerances catch more tensor kernel bugs
mining error distributions from cloud gpu runs yields per-operator tolerances that improve bug detection recall by 9.3 percentage points.
aiquantum program generation must prioritize validity over scaling
a position paper argues that scaling language models for quantum circuit synthesis is misguided because valid circuits are exponentially rare, requiring verifier-centric architectures instead.
ainvidia releases cosmos 3 edge for on-device physical ai
a 4b-parameter open world model that enables robots and vision ai agents to understand scenes, reason in real time, and generate actions on edge devices.
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.
aillms tested for technical market analysis
a study compares five large language models on tasks like candlestick recognition, trade signals, backtesting, and report comprehension.
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