engblogs

Highlighting the latest Ph.D. graduates from the Berkeley AI Research Lab and their impactful contributions to AI.

Efficiently merge multiple vision foundation models into a single multi-task model through joint distillation.

Effortlessly design and customize hand gestures using vision-based technology from a single demonstration.

Innovative approach for user recognition on wearable devices using gait-based metric learning

Proposing a framework to enhance table understanding by training LLMs to outline their reasoning step by step and updating tables iteratively, yielding significant improvements on benchmark datasets.

Accelerate deployment of AI models using MAX Serving on Amazon EC2 with ResNet50 and EfficientNet models

Scalable generative model Command-R optimized for Retrieval Augmented Generation (RAG) and Tool Use at enterprise production scale.

Chess.com achieves 71% reduction in response times by upgrading to Cloud SQL Enterprise Plus

Exploring 2024 cybersecurity trends, gen AI security, and defense augmentation in Google Cloud's Security Talks event

Streamlining protein folding with Vertex AI AlphaFold Inference Pipeline for biotech drug discovery

Empowering Looker customers with AI-driven BI innovations for data analytics

Maximizing data activation and saving engineering resources using BigQuery and Dataddo