
Explore practical considerations for implementing GenAI in enterprises, from pilot to scale. Address challenges and learn successful approaches for large-scale AI deployment.

Explore real-time vectorization for transactional workloads using MongoDB Atlas and Anyscale, liberating data and enabling innovation with advanced models at scale.

Optimize semiconductor manufacturing schedules with deep reinforcement learning. Leverage flexible methods to respond to changing priorities and improve key performance indicators in complex fab environments.

Explore building and scaling LLM applications with LlamaIndex and Ray through a code tutorial on creating a powerful query engine.

Explore cutting-edge AI developments and industry insights in Kim Hazelwood's keynote address at Ray Summit 2022.

Explore classic AI search algorithms, from uninformed to advanced techniques, with insights on problem-solving strategies and heuristic development.

Explore multi-modal, pre-trained models in verifiable sequential decision-making for metacognitive AI, focusing on latest advancements and applications in artificial intelligence.

Learn Python coding techniques for mechanical engineering applications through practical examples and discussions.

Explore Jupyter and Python fundamentals for scientific computing, covering basic syntax, data structures, and essential libraries for engineering applications.

Explore a novel approach combining static and dynamic techniques to prevent priority inversion in concurrent programs using mutexes and condition variables, enhancing responsiveness and efficiency.

Explore techniques for efficient parallel functional programming with unrestricted effects, improving performance while maintaining safety benefits through innovative memory management.

Explore cuCatch, an innovative debugging tool for CUDA applications that efficiently detects memory safety violations with low performance overhead and high error detection coverage.

Explore deductive verification for parameterized embedded systems in SystemC, focusing on formal encoding, automated transformation, and novel invariant construction for global properties.

Explore formal runtime error detection in automotive software development using inferred contracts and abstract interpretation for improved precision and scalability in module-level analysis.

Explore Rust programming on the Morello architecture, focusing on memory safety and capability-based security features.

Explore Morello software and compilers, focusing on advanced techniques and innovations in programming language implementation for enhanced security and performance.

Explore CHERI static analysis techniques for enhanced memory safety and security in software development.

Explore Effectful, a new Haskell effects library combining Polysemy-like ergonomics with ReaderT pattern performance. Learn its potential to revolutionize effect handling in Haskell programming.

Explore industrial software design beyond behaviors with insights from NomaSystems engineers. Learn innovative approaches to tackle complex system challenges in this Code BEAM Lite talk.

Explore an open-source Serverless runtime built on BEAM, featuring a polyglot programming model for cloud and on-premises applications. Learn about its implementation using Erlang/OTP and Elixir.

Explore Makina, a new Elixir library for efficient property-based testing of complex systems like Ethereum smart contracts, featuring improved error detection and code reuse.