
Explore the journey from security practitioner to CEO, uncovering insights on building a billion-dollar security company with Erkang Zheng.

Explore efficient machine learning techniques and their applications in this comprehensive introduction to EfficientML.ai from MIT's Prof. Song Han.

Explore efficient machine learning techniques and their applications in this introductory lecture from MIT's EfficientML course, led by Prof. Song Han.

Explore Hydroflow, a Rust-based dataflow runtime enabling correct program transformations for distributed systems. Learn about refactoring, replication, and partitioning techniques for optimizing distributed programs.

Discover how to design environmentally conscious storage architectures, optimize cloud storage efficiency, and measure code's carbon footprint through practical tools and implementation strategies.

Explore comprehensive data security strategies for enterprise block storage systems, covering authentication protocols, confidentiality measures, and protection against modern threats like ransomware.

Дізнайтеся про сучасні грід- та хмарні технології, їх застосування в науковій роботі та особливості функціонування ресурсного центру обміну даними в ІТФ НАН України.

Explore multilingual programming and project structures for effective collaboration. Learn to choose the right language for each problem and implement best practices in data science and MLOps.

Explore challenges in MLOps, data platforms, and Airflow with Stephen Bailey. Gain insights on modular job design, data classification, and practical approaches to data engineering and machine learning workflows.

Explore hands-on Vertex AI for ML model training, serving, and pipeline creation. Learn to leverage Google Cloud's powerful tools for efficient machine learning workflows and deployments.

Explore common MLOps challenges and lessons learned from industry experts. Gain insights on best practices, tool selection, and integrating MLOps into systems with varying maturity levels.

Explore cloud native computing advancements and project updates in this CNCF Technical Oversight Committee meeting, featuring discussions on graduated, incubating, and sandbox projects.

Unlock peak velocity on AWS with insights on deploying production apps, leveraging platform-as-a-service, and optimizing long-running functions for reliability and performance.

Explore Azure's evolution from PaaS to modern compute options, containerization, and microservices. Learn to make informed decisions for scalability, availability, and cost-effectiveness in cloud architecture.

Explore software-defined radio to capture and process real-time aircraft location data using ADS-B, Redis Streams, and Node.js. Build an interactive map displaying live flight information.

Master dynamic routing and high-availability VPN setup between AWS and Google Cloud. Configure site-to-site connectivity, implement BGP sessions, and ensure resilient hybrid cloud networking.

Master building a real-time analytics database using Apache ecosystem tools including Kafka, Druid, and Superset. Learn data streaming, processing, and containerization with hands-on implementation.

Master microservices deployment using Consul and Nomad to break down monolithic applications, implement configuration-as-code, and enable automated scaling for modern infrastructure.

Explore how storage systems and AI frameworks interact during model training, focusing on data loading mechanisms, checkpointing, and storage solutions for optimizing AI workloads.

Master essential Maya 3D modeling techniques, from setting up reference images to creating clean edge flow and finished hard surface models. Includes practical workflows applicable across multiple 3D modeling platforms.

Master practical OpenTelemetry implementation in Javascript/Typescript, covering instrumentation, observability setup, context management, and integration with messaging systems and Kubernetes.