The Latest News On The API Economy
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Amazon recently announced three new tools in the Alexa toolbox. A Natural Language Understanding (NLU) Evaluation Tool, Utterance Conflict Detection, and a new Get Metrics API improve Alexa developers' ability to reduce unintended skill conflicts, and track skills use and performance over time.
Google has expanded its Vision AI portfolio with the addition of object and logo detection capability. Both AutoML Vision Edge and AutoML Video Intelligence now include object detection. The Video Intelligence API has been expanded to track and recognize over 100,000 popular logos.
Though there are concerns about AI, it is probably the hottest trend in computer science at the moment. Developers looking to add intelligence to applications can check out the ProgrammableWeb Artificial Intelligence category for the best choices, including these fourteen very popular AI APIs.
Fifteen APIs have been added to the ProgrammableWeb directory in categories including Text-to-Speech, Passwords, and Travel. Highlights include APIs from TomTom for electronic vehicles and an API for displaying detailed golf course maps in applications. Here's a rundown of the latest additions.
Thirteen APIs have been added to the ProgrammableWeb directory in categories including Artificial Intelligence, Machine Learning and Safety. Highlights include an API that determines ideal prices via an algorithm, and an API for physical locks for car sharing services. Have a look at what is new.
Amazon continues to ease skill development and integration with added support for Express.js and Jinja templates. The Node.js ASK SDK now supports Express.js. The Python ASK SDK now supports Jinja templates. Additionally, Python ASK SDK support for Django and Flask is now generally available.
Amazon just made enabling Alexa skills within third-party apps a lot easier. The App-to-App Linking feature and associated Alexa Skill Activation API allow app users to enable an Alexa skill within a third-party app. Prior to the features, users were forced to use the Alexa app to enable a skill.
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.
Artrendex has announced the release of ArtPI, which the company describes as “an API driven by artificial intelligence that’s poised to transform the way art gets discovered, displayed, and sold.” The new service takes advantage of AI’s strengths in pattern matching and trend recognition.
Fifteen APIs have been added to the ProgrammableWeb directory in categories including Boating, Environment, and Artificial Intelligence. Featured today is an API for automated form data input and an API for airspace management for drones. Here's a rundown of the latest additions.
APIs sit at the center of organizations’ digital transformation initiatives, making them attractive to hackers. In response, API management solutions are employed, but organizations also need to address the growth of more sophisticated attacks on APIs by implementing dynamic, AI driven security.
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.
NVIDIA has released the Clara Deploy SDK to give developers a platform for designing and deploying AI-enabled medical imaging pipelines. The SDK provides a framework for defining application workflows and enables the creation of optimized AI models for medical imaging used in hospital systems.
About a year after Google introduced the Hangouts Chat API, it is enhancing the ability to build chatbots by supporting both Dialogflow and Hubot. Dialogflow allows developers to leverage natural language processing to train bots. Hubot allows developers to build bots for multiple platforms.
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.
Scrapinghub has taken the next step in its web scraping and data extraction tools development. Its latest Developer Data Extraction API is an AI-driven data extraction API that eliminates the need to build custom spiders for each target site. The API extracts product data and article data.
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.
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.