omnivoice studio runs voice ai locally
omnivoice studio is a free, open-source desktop app for voice cloning, dubbing, and dictation that runs entirely on your hardware with no cloud dependency.
topic
machine learning
bayesian wind tunnels test model selection in transformers
transformers can perform exact bayesian model selection between hypothesis classes in controlled environments, matching optimal posteriors within 0.01 bits.
nunchaku lite brings 4-bit diffusion to diffusers
nunchaku lite integrates svdquant 4-bit inference into diffusers, reducing vram and speeding up image generation without custom pipelines.
hyenand brings fast global attention to multi-dimensional data
a new subquadratic operator processes images, volumes, and pdes natively without rasterization, matching attention accuracy with faster runtimes.
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.
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.
google 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.
mixing-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.
bandit 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.
finding 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.
five 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.
picking 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.
simulation 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.
run 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.
grabette: 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.
llm 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.
rl-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.
tighter 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.