Manufacturers are rapidly expanding their machine learning use cases by leveraging the deep integration between Snowflake’s Data Cloud and the H2O AI Cloud.  Many current manufacturing quality checks require that sensor data and image data be processed and analyzed separately. Standard tooling presents challenges in storing and referencing these data types together. Often, comparison on […]

Note: this is a community blog post by Team HTB – one of the H2O.ai Wildfire Challenge winners. You can check out their app here. The Challenge The purpose of the challenge was to develop an AI application to improve the forecast of bushfires and wildfires, with the main aim of reducing the human losses […]

In this article, we will learn how to build state-of-the-art models in computer vision and natural language processing within a couple of minutes using H2O Hydrogen Torch. Introduction to H2O Hydrogen Torch H2O Hydrogen Torch (HT) aims to simplify building and deploying deep learning models for a wide range of tasks in computer vision (CV) […]

According to a report by the High-Level Panel for a Sustainable Ocean Economy, it is estimated that illegal, unreported, and unregulated (IUU) fishing accounts for 20 percent of the seafood and up to 50 percent in some areas. These activities not only affect the marine ecosystem but, in a way, are linked to climate change […]

Over and over again we heard from customers, “deep learning is cool, but it’s hard and time consuming.” They kept asking “could someone just make it easier?” In typical “Maker” fashion, you ask, we deliver, H2O Hydrogen Torch. H2O Hydrogen Torch is a new product that enables data scientists and developers to train and deploy […]