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Artificial Intelligence (AI) is the field developing computers and robots capable of parsing data contextually to provide requested information, supply analysis, or trigger events based on findings. Through techniques like machine learning and neural networks, companies globally are investing in teaching machines to ‘think’ more like humans. Below are some of the latest AI news from the industry:
A Tour of SavedModel Signatures
Posted by Daniel Ellis, TensorFlow Engineer Note: This blog post is aimed at TensorFlow developers who want to learn the details of how graphs and models are stored. If you are new to TensorFlow, you should check out the TensorFlow Basics guides before reading this article. TensorFlow can run models without the original Python objects, as demonstrated by T ...
Integrating Amazon Polly with legacy IVR systems by converting output to WAV format
Amazon Web Services (AWS) offers a rich stack of artificial intelligence (AI) and machine learning (ML) services that help automate several components of the customer service industry. Amazon Polly, an AI generated text-to-speech service, enables you to automate and scale your interactive voice solutions, helping to improve productivity and reduce costs. Yo ...
Introducing Amazon SageMaker Reinforcement Learning Components for open-source Kubeflow pipelines
This blog post was co-authored by AWS and Max Kelsen. Max Kelsen is one of Australia’s leading Artificial Intelligence (AI) and Machine Learning (ML) solutions businesses. The company delivers innovation, directly linked to the generation of business value and competitive advantage to customers in Australia and globally, including Fortune 500 companies ...
Analyzing open-source ML pipeline models in real time using Amazon SageMaker Debugger
Open-source workflow managers are popular because they make it easy to orchestrate machine learning (ML) jobs for productions. Taking models into productions following a GitOps pattern is best managed by a container-friendly workflow manager, also known as MLOps. Kubeflow Pipelines (KFP) is one of the Kubernetes-based workflow managers used today. However, i ...
Transfer Learning for Audio Data with YAMNet
Posted by Luiz GUStavo Martins, Developer Advocate Transfer learning is a popular machine learning technique, in which you train a new model by reusing information learned by a previous model. Most common applications of transfer learning are for the vision domain, to train accurate image classifiers, or object detectors, using a small amount of data -- or ...
NVIDIA’s Marc Hamilton on Building Cambridge-1 Supercomputer During Pandemic
Since NVIDIA announced construction of the U.K.’s most powerful AI supercomputer — Cambridge-1 — Marc Hamilton, vice president of solutions architecture and engineering, has been (remotely) overseeing its building across the pond. The system, which will be available for U.K. healthcare researchers to work on pressing problems, is being buil ...
With Azure Percept, Microsoft adds new ways for customers to bring AI to the edge
The post With Azure Percept, Microsoft adds new ways for customers to bring AI to the edge appeared first on The AI Blog.Read More
Introducing TensorFlow Videos for a Global Audience: Vietnamese
Posted by TensorFlow Team When the TensorFlow YouTube channel launched in 2018, we had a vision to inform and inspire developers around the world about what was possible with Machine Learning. With series like Coding TensorFlow showing how you can use it, and Made with TensorFlow showing inspirational stories about what people have done with TensorFlow and ...