H20.ai introduces deep learning platform

H2O.ai, an AI Cloud leader, is releasing H2O Hydrogen Torch, a deep learning training engine that makes it easy for companies of any size in any industry to make state-of-the-art image, video, and natural language processing (NLP) models without coding. 

Through a simple, no-code user interface, data scientists and developers can rapidly make models for numerous image, video and NLP processing use cases, including identifying or classifying objects, analyzing sentiment or finding relevant information in text. 

Deep learning models provide the ability to unlock opportunities to transform industries including healthcare (computer-aided disease detection or diagnosis through the analysis of medical images), insurance (automation of claims and damage analysis from reports and images) and manufacturing (predictive maintenance by analyzing images, video and other sensor data).

For images and videos, H2O Hydrogen Torch can be trained for classification, regression, object detection, semantic segmentation and metric learning.

In a medical setting, for example, H2O Hydrogen Torch could analyze medical X-ray images for abnormalities with a “human in the loop” to make the final decision. Other image-based use cases include object detection in a manufacturing facility to determine whether a part is missing or metric learning that alerts an online retailer to duplicate images on a website.

For text-based or NLP use cases, H2O Hydrogen Torch can be trained for text classification and regression, token classification, span prediction, sequence-to-sequence analysis, and metric learning.

NLP use cases include predicting customer satisfaction from transcribed phone calls to sequence-to-sequence analysis to summarize a large portion of text, such as from medical transcripts, in a few sentences.

These models then can be packaged automatically for easy deployment to external Python environments or in a consumable format directly to H2O MLOps for production.

“Accelerated by COVID-19, video streams, speech, audio podcasts, email and natural language text have become the fastest growing data for our customers in every industry. Transforming and fine-tuning pre-built deep learning models to deliver high accuracy requires a no-code AI Engine to democratize AI for these use cases,” said Sri Ambati, CEO and founder, H2O.ai. “H2O Hydrogen Torch does exactly that by bringing best practices from Grandmasters to tackle problems ranging from improving in-store customer experiences, identifying fashion trends, and discovering vaccines, to saving lives with video enabled drones fighting fires with AI on the edge. With H2O Hydrogen Torch as a core AI Engine of the H2O AI Cloud, our customers can train models in deep learning and better serve their customers and challenge tech giants.”

H2O Hydrogen Torch is part of H2O.ai’s broad and rapidly expanding set of H2O AI Cloud products, including the recently announced H2O AI Feature Store and H2O Document AI.

For more information about this news, visit https://h2o.ai/.