
Explore the integration of data and machine learning in enabling flexible clean energy resources, focusing on local energy markets and flexible loads for climate change mitigation.

Explore graph representation learning techniques for analyzing and understanding complex street network structures.

Explore machine learning approaches at GSK.ai, focusing on innovative techniques and applications in pharmaceutical research and development.

Explore storage policies in continual learning, focusing on replay-based approaches, consistency-aware sampling, and class incremental learning with repetition for adaptive AI systems.

Explore Databricks Workflows for efficient data pipeline orchestration. Learn best practices, serverless jobs, job repair, notifications, event-driven integrations, and effective triggers for optimized data intelligence.

Explore Stanford DSPy's adaptive LM pipelines for complex tasks. Learn to create self-improving systems using text transformation graphs and parameterized modules, boosting performance with minimal code.

Atlassian's hybrid data strategy combines Databricks and ActionIQ, enabling faster marketing execution, higher-converting audiences, and complex use cases like omnichannel journeys and personalization without sacrificing governance.

ML-based Flood Predictor provides real-time insight into flash flood dangers, enabling better emergency planning and potentially saving lives. Uses U-net model trained on FEMA data paired with terrain information to generate water depth maps.

Discover strategies for industrializing GenAI operations, from provisioning to risk management, ensuring trusted solutions that deliver business outcomes on the Databricks platform.

Explore how 84.51/Kroger adopted a federated data mesh approach using Alation and Unity Catalog, enabling self-service analytics and empowering data scientists while maintaining governance and security.

Explore DevoxxGenie plugin for IntelliJ IDEA, integrating local and cloud-based LLMs to enhance coding efficiency. Learn key features, settings, and practical applications through live demos and expert insights.

Explore Java Project Loom's virtual threads, their impact on performance, and comparison with reactive programming and Kotlin coroutines. Learn implementation, benefits, and future implications for Java development.

Explore sidecar-less service mesh implementations in Cilium and Istio, comparing architectures, design decisions, and tradeoffs for mutual authentication, ingress, and observability in cloud-native networking.

Explore large deviations in charge resolved entanglement entropy, examining universal tail structures and their implications for ground state properties in many-body systems.

Explore lattice gauge theories using Gauged Gaussian Fermionic PEPS, a tensor network method for efficient numerical computations without sign problems in multiple space dimensions.

Explore open source AI and regulatory frameworks with experts, gaining insights into the intersection of technology, ethics, and policy in artificial intelligence.

Explore strategies for achieving data center sustainability using open hardware solutions. Learn innovative approaches to reduce environmental impact and optimize efficiency.

Explore hidden risks in AI models and learn strategies to illuminate potential dangers lurking within these complex systems.

Explore DevOps benchmarking trends, compare your setup, and learn optimization strategies to stay competitive in the industry with insights from platform engineering pioneer Kaspar von Grünberg.

Learn to design a successful Internal Developer Platform in 6 steps, covering Platform Engineering, DevEx, organizational benefits, and gaining buy-in for implementation.

Discover five advanced Kubernetes tools to boost productivity, enhance developer experience, and optimize development and testing in this insightful presentation by AWS Solutions Architect Aly Ibrahim.