Testimony before the U.S. Senate
Insights on U.S. Senate testimony
Accelerating Innovation at JetBlue Using Databricks
Accelerating innovation at JetBlue through the use of Databricks for data science and analytics
MIT-Pillar AI Collective announces first seed grant recipients
Six research teams in AI, data science, and machine learning awarded seed grants for potential commercial projects by MIT-Pillar AI Collective.
Modular: Do LLMs eliminate the need for programming languages?
Exploring the potential of LLMs in reducing reliance on traditional programming languages in modular development
Modular: Our launch & what's next
The launch of Modular and its upcoming developments
Modular: Modular natively supports dynamic shapes for AI workloads
Modular explores the support for dynamic shapes in AI workloads within the native functionality of the modular system.
Announcing Cadence 1.0: The Powerful Workflow Platform Built for Scale and Reliability
The release of Cadence 1.0, a powerful workflow platform designed for scale and reliability, offering easy building of complex distributed systems.
Semantic Types: From Computer-Centric to Human-Centric Data Types
The blogpost explores the transition from computer-centric to human-centric data types, focusing on semantic types.
Stability AI launches SDXL 0.9: A Leap Forward in AI Image Generation
Explore the practical applications and limitless possibilities of Stability AI's cutting-edge release, SDXL 0.9, which revolutionizes generative AI imagery to unleash remarkable image and composition precision.
Analyzing Volatile Memory on a Google Kubernetes Engine Node
Analyzing volatile memory on a Google Kubernetes Engine node in a containerized environment at Spotify for quick detection and analysis of suspicious behavior.
McKinsey QuantumBlack on automating data quality remediation with AI
The blog post discusses McKinsey QuantumBlack's presentation on automating data quality remediation with AI at The Future of Data-Centric AI.
SoundStorm: Efficient parallel audio generation
Efficient parallel audio generation using the SoundStorm method, which replaces slow autoregressive decoding with faster parallel decoding, resulting in faster inference times while maintaining audio quality.