The Latest News On The API Economy
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Machine Learning (ML) is a type of Artificial Intelligence in which the main principal is that computers can learn and make decisions without relying on human programming. ML APIs can be used to enhance applications with predictive functions and more. Here are some top ML APIs from ProgrammableWeb.
Recent technology backed by machine learning is making it possible to recognize people and objects from images, videos, sounds, body parts, speech, phrases, characters, even typing. Developers can find over two-hundred APIs for Recognition on ProgrammableWeb. Here are some top choices.
Uber has joined the growing field of players in the conversational AI game. Its Plato Research Dialogue System is a platform for developing, training, and deploying AI-driven conversational agents. It integrates with third-party AI platforms and can be trained with any machine learning library.
Twelve APIs have been added to the ProgrammableWeb directory in categories including Shipping, Identity, and Blockchain. Featured today is an API that identifies car make and model from a photograph, and an API that determines risk based on buyer reputation. Here's a rundown of the latest additions.
GIPHY, the provider of a database and search engine for animated GIFs, has announced a new SDK that provides third-parties access to GIFs, stickers, and additional new content like GIPHY Emoji and Text. With this release, the company hopes to accelerate integration for third-party app developers.
Google has announced the release of a beta version of the popular TensorFlow machine learning library. According to the company, "TensorFlow 2.0 focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs, and flexible model building on any platform."
Eighteen APIs have been added to the ProgrammableWeb directory in categories including Machine Learning, DevOps, and Identity. Highlights include Microsoft Azure Cognitive APIs such as an API that recognizes handwriting, plus DigitalOwl semantic APIs. Here's a look at what's new.
Roughly half a year after Amazon first announced API access to the machine learning technology that drives its own Amazon.com retail business, the AWS team has made Amazon Personalize generally available. In its first release, the API is open to AWS customers in the US, APAC, and EU.
Thirteen APIs have been added to the ProgrammableWeb directory in categories including Weather, Financial and Contacts. Highlights include an API for hyper-local weather data, an API for adding satellite imagery to apps, and the Firebase ML Kit SDKs. Here's a rundown of the latest additions.
The Shutterstock API has been used by over 10,000 developers. The company includes names like Google, Facebook, and IBM in its list of developer partners. To offer these partners an additional revenue stream through the Shutterstock API, Shutterstock has launched self-serve API subscription plans.
Google continues to update ML Kit to enable developers to create applications for mobile devices that utilize the power of machine learning. Google recently reported that improvements in ML Kit make it possible for mobile devices to perform ML functions even when disconnected from the internet.
Microsoft has announced preview versions of its Personalizer API, Conversation transcription API, Form Recognizer API, and Ink Recognizer API. All four APIs enhance existing machine learning and artificial intelligence-driven features within the Cognitive Services portfolio.
Until recently, Google's ML Kit machine learning functionality has focused on video and image processing. Now, Google has introduced two APIs that expand ML Kit into the language space. The Smart Reply API suggests responses within chat apps, and Language Identification identifies text language.
Google this week made Coral available to developers as a public beta. Google built Coral to boost the presence of on-device artificial intelligence. Making the AI calculations possible on a local, rather than server, level eliminates latency and improves the turn-around time for results.
A preview version of TensorFlow 2.0 has been expected for a number of months. The alpha preview release is now available. Google announced its release at the TensorFlow Dev Summit 2019. The focus of the latest release is ease of use, simplicity, and accessibility for developers.
Customer and partner retention is a mission-critical metric for your API programs success. After first launching its API in 2012, learn how Shutterstock has expanded it today and how it focuses on partner engagement to discover how best to offer exactly what their API partners need.
Google has announced updates to its Cloud Speech to Text and Text to Speech APIs that include additional languages, voices, and more affordable pricing models. The goal of these updates is to help developers build better intelligent voice applications and make the products more widely available.
R2.ai, provider of enterprise artificial intelligence solutions, has recently announced the release of a new software as a service (SaaS) offering, designed to extend the reach of the company’s on-premises solution. Developers can use the R2.ai API to integrate AutoML into existing platforms.
Kong announced two new features that aim to simplify API development with the assistance of AI and ML. The new tools, Kong Brain and Kong immunity, have been added to the company’s Kong Enterprise platform and automate processes that include documentation, configuration, and traffic analysis.
TensorFlow 2.0 is almost here. The team originally announced TensorFlow 2.0 late last year, and now more details have been announced. A public preview is expected in early this year with a new central API model, new features, changes, and a particular focus on experimentation.