API
Build Voice AI Into Your Apps With Google Cloud’s Top 3 Speech API Codelabs
With voice-controlled touchpoints becoming more and more the norm in human-computer interactions, our Speech-to-Text (STT) API is a great option for developers looking to build voice into their applications. The API processes over 1 billion spoken minutes of speech each month, enough to transcribe all Presidential inauguration speeches in U.S. history over 1 million times. Our …
First Dedicated AI Management And MLOps Platform On Google Cloud Marketplace
Editor’s note: Prevision.io has built the first ever pay-as-you-go AI management platform that simplifies the machine learning project lifecycle while offering powerful analytics capabilities. Now available exclusively on Google Cloud Marketplace, users can experiment, build, deploy, and manage AI projects in the cloud in weeks—without having extensive data science knowledge. Similar to the momentum that cloud …
Cloudflare Announces API Gateway; Increases Security For Billions Of Devices And Systems With Robust Machine Learning Engine
Cloudflare, Inc. (NYSE: NET), the security, performance, and reliability company helping to build a better Internet, today announced the Cloudflare API Gateway, providing businesses a simple, fast, and effective way to protect and control all of their APIs (application programming interfaces). Organizations are using APIs more than ever before, yet many of them struggle to secure …
Google Cloud Text-to-Speech API Now Supports Custom Voices
With the rise of digital assistants and conversational interfaces, people have grown accustomed to hearing and speaking to synthetic voices. But what do those voices sound like? Often, pretty repetitive. We’re all familiar with the Google Assistant voice, for example. That’s why we are excited to announce the general availability of Custom Voice in our Cloud …
Developing High-Quality ML Solutions
When a deployed ML model produces poor predictions, it can be due to a wide range of problems. It can be the result of bugs that are typical in any program—but it can also be the result of ML-specific problems. Perhaps data skews and anomalies are causing model performance to degrade over time. Or the …
Introducing Timeseries Insights API: Real-Time Forecasting And Anomaly Detection Over Trillions Of Events
Businesses are awash in event-driven data, from customers visiting stores or submitting online queries to making purchases or triggering sensors. Leveraging this data for real-time forecasting and anomaly detection is critical to serving customers across changing needs and environments—but doing this kind of time-series analysis in real-time has often required bespoke solutions, saddling businesses with …
Unveiling A New Visual User Interface For Google Cloud’s Speech-to-Text API
At Google Cloud, we’re committed to making artificial intelligence (AI) accessible to everyone and easier to harness for new use cases. That’s why we’re excited to announce the general availability of our intuitive, new visual user interface for Google Cloud’s Speech-to-Text (STT) API, right in Google Cloud Console, which makes the API much simpler and easier for …
Building Dynamic Machine Learning Pipelines With KubeDirector
Imagine that you’re a data scientist who’s been asked to create an application or service that can predict travel time for a proposed taxi ride. The application needs to have the ability to update the service with new data as it becomes available, so its predictions take recent patterns into account. In this tutorial, we’ll …
TF Dev Summit ’19 | Introducing TensorFlow 2.0 and its High-Level APIs
TF Dev Summit ’19 | Introducing TensorFlow 2.0 and its high-level APIs At TensorFlow Dev Summit 2019, the TensorFlow team introduced the Alpha version of TensorFlow 2.0! With TensorFlow 2.0, we are consolidating our APIs and integrating Keras across the TensorFlow ecosystem. In this talk, we give an overview of what to expect with TensorFlow …
Google I/O 2019 | Getting Started with TensorFlow 2.0
Google I/O 2019 | Getting Started with TensorFlow 2.0 TensorFlow 2.0 is here! Understand new user-friendly APIs for beginners and experts through code examples to help you create different flavors of neural networks (Dense, Convolutional, and Recurrent) and understand when to use the Keras Sequential, Functional, and Subclassing APIs for your projects. Speakers: Josh …