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Learn how to leverage Amazon Nova foundation models and constrained decoding to generate reliable structured outputs for AI applications using tool configurations and schema definitions.

AWS Batch integration with Amazon SageMaker Training jobs enables intelligent job scheduling, automated resource management, and efficient utilization of costly GPU instances to optimize machine learning training workflows.

Modular and SF Compute have launched a Large Scale Inference Batch API that combines a real-time GPU spot market with a high-performance inference stack to dramatically reduce AI inference costs and optimize resource utilization across heterogeneous hardware platforms.

Databricks announces the launch of its Vancouver Development Center to leverage local data and AI talent for advancing strategic innovations.

Insights on building and maintaining a long-term competitive edge in AI technology.

MIT researchers developed a provably efficient algorithm that leverages algebra and geometry to enable machine learning models to effectively and computationally efficiently handle symmetric data, improving accuracy and reducing training data requirements.

Leveraging AI-powered test failure triage and semantic search techniques, Salesforce reduced developer bottlenecks by 30%, accelerating test failure resolution with trusted, context-driven automation at scale.

Pluto7 and Google Agentspace revolutionize supply chain planning by leveraging Agentic AI for dynamic, real-time inventory management and autonomous workflows.

Gemini CLI introduces customizable slash commands using .toml files and Model Context Protocol prompts to enhance workflow efficiency and command organization.

A mid-year roundup highlighting the top 25 Google Cloud blog posts of 2025, covering advancements in AI, cloud infrastructure, cybersecurity threats, generative AI tools, certifications, and innovative customer use cases.

Exploring advanced Google Cloud security measures like passkeys and Device Bound Session Credentials to combat rising identity-based cyber threats beyond traditional two-factor authentication.

Harness Amazon Bedrock, LangGraph, and the Model Context Protocol (MCP) to automate and enhance GitHub workflows through generative AI-driven issue analysis, code fixes, and pull request generation.