Category: Artificial Intelligence

Editor’s Note: We have been closely monitoring the situation with COVID-19, and after much consideration, we have made the decision to cancel re:MARS 2020. Our top priority is the well-being of our employees, customers, partners, and event attendees. Over the course of the coming weeks, we will explore other ways to engage the community. To […]

AWS is pleased to announce a new feature in Amazon Polly called Brand Voice, a capability in which you can work with the Amazon Polly team of AI research scientists and linguists to build an exclusive, high-quality, Neural Text-to-Speech (NTTS) voice that represents your brand’s persona. Brand Voice allows you to differentiate your brand by […]

A critical success factor in machine learning (ML) is the cleanliness and accuracy of training datesets. Training with mislabeled or inaccurate data can lead to a poorly performing model. But how can you easily determine if the  labeling team is  accurately labeling data? One way is to manually sift through the results one worker at […]

This is a guest post from Millennium Management. In their own words, “Millennium Management is a global investment management firm, established in 1989, with over 2,900 employees and $39.2 billion in assets under management as of August 2, 2019.” Millennium Management is comprised of a large number of specialized trading teams across the United States, […]

Amazon Comprehend is a fully managed natural language processing (NLP) service that enables text analytics to extract insights from the content of documents. Amazon Comprehend supports custom classification and enables you to build custom classifiers that are specific to your requirements, without the need for any ML expertise. Previously, custom classification supported multi-class classification, which is […]

July 2024: The solution in this blog post is now obsolete with the release of Amazon Lex V2. You’ve rolled out a conversational interface powered by Amazon Lex, with a goal of improving the user experience for your customers. Now you want to track how well it’s working. Are your customers finding it helpful? How are […]

The field of Natural Language Processing (NLP) has had many remarkable breakthroughs in the past two years. Advanced deep learning models are raising the state-of-the-art performance standards for NLP tasks. To benefit from newly published NLP models, the best approach is to apply a pre-trained language model to a new dataset and fine-tune it for […]

The Earth’s climate is a highly complex, dynamic system. It is difficult to understand and predict how different climate variables interact. Finding causal relations in climate research today relies mostly on expensive and time-consuming model simulations. Fortunately, with the explosion in the availability of large-scale climate data and increasing computational power via the cloud, there […]

Interpreting 3D seismic data correctly helps identify geological features that may hold or trap oil and gas deposits. Amazon SageMaker and Apache MXNet on AWS can automate horizon picking using deep learning techniques. In this post, I use these services to build and train a custom deep-learning model for the interpretation of geological features on […]

Amazon Polly turns text into lifelike speech, which allows you to create voice-enabled applications. AWS is excited to announce the general availability of all standard voices in the Middle East (Bahrain) and Asia Pacific (Hong Kong) Regions. Customers in these Regions can now synthesize over 60 standard voices available in 29 languages in the Amazon […]