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No-code generative AI capabilities in Amazon SageMaker Canvas for business analysts and citizen data scientists to generate accurate predictions without coding.

Enabling retail-supplier collaboration through shared sales and inventory data using Crisp and Databricks.

Llama 2 foundation chat models from Meta AI can be fine-tuned and deployed on Databricks Lakehouse AI.

Analyzing the impact of the October 2023 attacks on Internet traffic patterns in Israel and Palestine, including network outages and cyberattacks

Databricks achieves ISO 27701 certification as a data processor.

Mistral 7B foundation models with 7 billion parameters are now available in Amazon SageMaker JumpStart for easy customization and deployment.

This technical blogpost introduces the SANPO dataset, a comprehensive human egocentric dataset for scene understanding, accessibility, navigation, pathfinding, and obstacle avoidance. The dataset includes real world and synthetic data, with dense annotations and depth maps, and supports a wide variety of dense prediction tasks, serving as a challenging benchmark for the scene understanding community.

Exploring the future outlook of the Spanish language and its projected changes over the next century.

Developing a Time Series Lakehouse at Shell in partnership with Shell

The blogpost discusses the association between slower respiration rate and higher self-reported well-being after wellness training, specifically examining the effects of mindfulness-based stress reduction (MBSR) on physiological and cognitive states.

Using machine learning to predict semantic information about user interfaces in order to make apps more accessible, easier to test, and automate.

Preparing and importing MovieLens dataset for Amazon Personalize using Amazon SageMaker Data Wrangler