
Ink Note Fall 2023: Informal ink deformation
Exploration of informal ink deformation techniques focusing on stroke manipulation, dynamic behavior integration, and potential control structures to enhance digital sketching in Fall 2023.

Best of both worlds: Achieving scalability and quality in text clustering
Achieving scalability and quality in text clustering by combining embedding models and cross-attention models.

Streaming SQL in Data Mesh
The Data Platform team builds infrastructure that allows users to leverage Data Meshes.

Looker Studio Pro now available for Android and iOS
Looker Studio Pro mobile app now available for Android and iOS, enabling users to view reports and access real-time data on the go

Priority-based scheduling between node pools
Deploying workloads on low cost compute Spot VMs using priority-based scheduling between node pools for cost optimization in GKE.

Data analytics in the age of AI: How we’ve enhanced our data platforms this year
Enhancements to data platforms in the age of AI, including interconnecting data, bringing AI to data, and boosting productivity.

Emerging Trends in Generative AI Research: A Selection of Recent Papers
Exploring emerging trends in generative AI research through a selection of recent papers.

Cybersecurity Lakehouse Best Practices Part 1: Event Timestamp Extraction
Learn best practices for extracting event timestamps in cybersecurity lakehouse environments.
How a sense of urgency leads to growth at Duolingo
Discover how a sense of urgency drives compound growth at Duolingo.

Bundesliga Match Facts Shot Speed – Who fires the hardest shots in the Bundesliga?
Introducing Bundesliga Match Facts: Shot Speed, a metric that quantifies and compares the velocity of shots in the Bundesliga.

Ink Note Fall 2023: Pen-driven symbolic programming
Exploring a pen-driven symbolic programming approach combining handwriting recognition and visual language for intuitive math formula input in Fall 2023.

How to fine-tune large language models for enterprise use cases
Fine-tune large language models for enterprise use cases through approaches like full fine-tuning, Parameter efficient fine-tuning, and Distillation for better AI deployment in organizations.