
Explore recent advances in entropic optimal transport, focusing on convergence rates and a novel ODE-based numerical method for multi-marginal problems. Gain insights into theoretical bounds and practical applications.

Explore backdoor attacks in deep neural networks, focusing on manifold distribution gaps. Learn to generate stealthy triggered samples and extend decision boundaries for enhanced security understanding.

Explore data-driven modeling techniques integrating classical methods and statistical learning to reconstruct reality in virtual environments, from traffic flow to crowd behaviors and deformation estimation.

Explore stochastic optimization algorithms with adaptive variance for non-convex functions, featuring provable convergence rates and numerical examples.

Explore Pangu-Weather, an AI-based method for accurate medium-range global weather forecasting using 3D deep networks and Earth-specific priors, outperforming traditional numerical prediction systems.

Explore AI-driven chemical synthesis planning integrated with robotic automation, streamlining complex molecule production for drug development and materials science.

Explore an advanced $\ell_p$ theory of PCA, improving upon vanilla PCA for heteroscedastic noises and yielding optimal bounds for spectral clustering and community detection.

Explore visual vibration analysis using regular cameras to study object properties and forces. Learn applications in sound recovery, structural monitoring, and visual effects.

Explore ORB-SLAM's evolution in Visual SLAM, from monocular to multi-map systems, including applications in medical endoscopy and advancements in camera and sensor integration.

Explore advanced deep learning techniques for climate prediction, including few-shot learning and data assimilation, to enhance accuracy in global climate monitoring and forecasting.

Explore geometric interpretations of optimal transport theory and its application to generative models, analyzing Sora's principles and proposing improvements for physical accuracy.

Explore ghost theories in gravity QFT, focusing on 0+1 dimensional models, unitarity, and probability interpretation. Gain insights into spectra and propagators at various coupling strengths.

Explore a geometrical interpretation of universally quantified inequalities and its applications across mathematics, focusing on Shannon entropy and connections to various mathematical branches.

Explore analyticity in spin and causality constraints in conformal bootstrap, including applications to operator spectrum and AdS/CFT duality.

Explore recent advances in learning quantum phenomena, focusing on statistical inference and applications in quantum computation verification.

Explore novel tensor-based approach for robust domain generalization in linear regression, addressing challenges in underrepresented populations and achieving reliable, interpretable results with theoretical guarantees.

Explore the Kubernetes ecosystem and cloud-native tools for high-throughput engineering teams to produce better software faster and more securely, including Java, JavaScript, Knative, Skupper, and StackRox.

Build a Convolutional Neural Network to recognize hand-written Viking runes using Keras, Python, and Flask. Learn CNN fundamentals and create a web application for real-time rune recognition.

Explore practical applications and benefits of edge computing with working code examples. Discover how it simplifies tasks and unlocks new possibilities in web development.

Automate deployments using Docker, GitHub Actions, and Kubernetes. Learn to create Dockerfiles, build DevOps pipelines, and deploy to Kubernetes through live coding and demonstrations.

Explore advanced TypeScript tooling for powerful code analysis and automation. Discover hidden gems like typescript-eslint, eslint-plugin-expect-type, ts-prune, and TypeStat to enhance your development workflow.