Meta is creating a new applied AI engineering organization to accelerate its superintelligence strategy and scale AI model development.

Enhanced update management supports enterprise compliance and mission-critical workloads.

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Error logs and GitHub pull requests hint at GPT-5.4 quietly rolling out in Codex, signaling faster iteration cycles and continuous AI model deployment.

AT&T's chief data officer shares how rearchitecting around small language models and multi-agent stacks cut AI costs by 90% at 8 billion tokens a day.

Memori Labs is the creator of the leading SQL-native memory layer for AI applications. Its open-source repository is one of the top-ranked memory systems on GitHub, with rapidly expanding developer ...

When Anthropic launched the Model Context Protocol (MCP) in 2024, the idea was simple but powerful – a universal “USB-C” for AI agents. AI models could ...

Modern enterprises are rapidly shifting toward API-centric architectures, leveraging APIs to connect internal systems, external partners, and digital services. With 74% of organizations adopting ...

AI’s next leap won’t come from bigger models or longer context windows, but from better-organized knowledge.

Developer-first security tool blocks AI manipulation attacks in under 100 milliseconds with a single API call Our goal ...

Wakefit is leveraging Snowflake's AI Data Cloud to accelerate AI innovation and streamline operations. By integrating Snowflake Cortex AI and Intelligence, the D2C brand has automated workflows, ...

At the foundation of Data Engineering is the new Tray SQL Transformer. Teams can execute sophisticated data preparation tasks ...