
ElevenLabs Releases New Voice AI Products and Raises $80M Series B
ElevenLabs raises $80M Series B to strengthen its position in voice AI research and product development and releases new voice AI products.

Announcing Workflows execution steps history
Announcing Workflows execution steps history - View step level debugging information for each execution

Spanner: A differentiated database for non-relational workloads
Spanner is a differentiated database for non-relational workloads that offers strong consistency, high performance, and high availability at global scale.

How Wayfair is improving its feature engineering system with Vertex AI
Improving feature engineering system at Wayfair using Vertex AI for centralized feature storage, automation, and standardization.

Figuring out microservices running on your GKE cluster with help from Duet AI
Explore how Duet AI can help you understand and manage microservices running on your GKE cluster by providing natural language answers to your questions.
Improving Recruiting Efficiency with a Hybrid Bulk Data Processing Framework
Improving recruiting efficiency with a hybrid bulk data processing framework.

Introducing ASPIRE for selective prediction in LLMs
Introducing ASPIRE, a framework that enhances the selective prediction capabilities of large language models (LLMs) by enabling them to output answers with confidence scores, improving prediction accuracy and reliability.

Inside the Tech – Solving for Safety in Immersive Voice Communication
Exploring the technical challenges of safety in immersive voice communication and the innovative solutions being developed to foster a safe and civil online environment.

Handling Online-Offline Discrepancy in Pinterest Ads Ranking System
Handling Online-Offline Discrepancy in Pinterest Ads Ranking System

Reasoning and reliability in AI
Improving the reasoning and reliability of AI through game theory, uncertainty quantification, and compositional reasoning to enhance natural language models and vision-language models for real-world scenarios.

New hope for early pancreatic cancer intervention via AI-based risk prediction
New AI-based risk prediction models for early detection of pancreatic cancer outperform current methods, using routine clinical and lab data from a diverse database of over 5 million patients.

Lazy is the new fast: How Lazy Imports and Cinder accelerate machine learning at Meta
Achieve faster machine learning model training and improved developer experience with Lazy Imports and Cinder at Meta, resulting in up to 40% time to first batch (TTFB) improvements and 20% reduction in Jupyter kernel startup times.