
Built-with Google AI: Meet Vivien, EPAM’s digital assistant with the power of Google Cloud gen AI
Meet Vivien, EPAM's digital assistant powered by Google Cloud gen AI, offering personalized and data-driven solutions for various industries.

Accelerate data-driven growth with Google Cloud and Fivetran
Accelerate data-driven growth by centralizing and analyzing marketing data in real-time with Google Cloud and Fivetran

Foundational data protection for enterprise LLM acceleration with Protopia AI
This blogpost discusses how Protopia AI's Stained Glass Transform enables foundational data protection for enterprise large language model acceleration, addressing concerns of data exposure and privacy.

Managing Recalls with Barcode Traceability on the Delta Lake
Managing recalls and reducing damage with barcode traceability on the Delta Lake

ElevenLabs Partners with Vocode
ElevenLabs partners with Vocode to enhance text to speech technology and improve user engagement

AI accelerates problem-solving in complex scenarios
AI-based machine learning technique accelerates problem-solving in complex scenarios that require mixed-integer linear programming (MILP) solvers

Harnessing AI to accelerate climate action in financial services
Harnessing AI and data to unlock capabilities and accelerate climate action in financial services

Fast Optimal Locally Private Mean Estimation via Random Projections
Fast algorithm for locally private mean estimation using random projections.

Manifold Diffusion Fields
Exploring the application of score-based generative modeling to different modalities using a functional view of data

Simplifying MLOps using Weights & Biases with Google Kubernetes Engine
Simplifying MLOps with Weights & Biases and Google Kubernetes Engine

A new quantum algorithm for classical mechanics with an exponential speedup
A new quantum algorithm for simulating coupled classical harmonic oscillators with an exponential speedup

Pre-trained Language Models Do Not Help Auto-regressive Text-to-Image Generation
Pre-trained language models have limited impact on auto-regressive text-to-image generation due to semantic differences and simplicity of text tokens.