
Learn to create, debug, and share Blender add-ons with a live demo covering registration, operators, UI implementation, and testing. Gain practical insights into the entire add-on development process.

Explore how software development practices can enhance scientific research, addressing issues in academia and promoting more responsible and efficient scientific work.

Comprehensive guide on car battery maintenance, testing, and replacement. Learn to diagnose issues, clean terminals, test alternators, and choose the right battery for your vehicle.

Explore optimal compute hardware for hydraulic modeling, focusing on GPU technology. Learn about selection, configuration, and trends to improve workflow efficiency and deliver results on time and budget.

Explore challenges and solutions in bridging academic AI research with real-world drug discovery applications through expert panel insights on benchmarking, data sharing, and industry-academia collaboration.

Explore open-source initiatives and benchmarking efforts in machine learning for drug discovery with Karmen Condic-Jurkic from Valence Labs.

Explore the impact of plant-associated microbiomes on agriculture, focusing on root microbiome structures in cereals and vegetables and their implications for crop management.

Discover a pragmatic approach to benchmarking soil health across regions, enabling farmers to set achievable goals for their specific soils and management systems.

Explore QC2, a modular open-source software for quantum chemistry, its design principles, workflow, and applications in quantum computing and classical approaches.

Explore advancements in genomic benchmarking for medically-relevant autosomal genes. Learn about GIAB consortium's efforts to improve variant calling in challenging genomic regions.

Master Testim's AI-powered locator system to create stable automated tests. Learn to use regex patterns, parameters, and confidence scoring for robust element identification across UI changes.

Discover the modern evolution of Apache Airflow 2.x, exploring new UI features, orchestration methods, and testing capabilities while maintaining backward compatibility for workflow management.

Discover how OpenAPI and Python type annotations can improve OpenStack's API documentation and reliability, exploring implementation strategies and ways to leverage these technologies for better API management.

Explore S3 implementation testing methodologies, focusing on RGW compatibility, client-server perspectives, and validation techniques for ensuring spec compliance and optimal performance.

Master end-to-end container testing with Cogate, a powerful tool that streamlines Kubernetes deployments, handles cross-project dependencies, and enables deployment previews through automated gating systems.

Discover effective random testing techniques for distributed systems, exploring combinatorial insights, probabilistic methods, and fuzzing strategies for ensuring program reliability.

Dive into advanced pathname handling techniques in Samba, exploring symlink-safe methods, performance optimization strategies, and modern POSIX APIs for improved system efficiency.

Discover efficient AI debugging techniques through a unified system that streamlines troubleshooting processes, reduces resolution time, and improves product quality for data science teams.

Discover how to prevent costly API breaking changes through cryptographic analysis, legacy service migration strategies, and automated detection algorithms for maintaining API consistency.

Explore practical strategies for validating AI outputs through automated pipelines, ensuring reliability and building confidence in AI-driven solutions.

Master data-driven testing in Java using Testcontainers, DbUnit, and Database Rider to configure test cases, manage database states, and verify results for reliable software development.