The Latest News On The API Economy
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Amazon added many tools and features to the Alexa Skills Kit (ASK) in October. From new languages and personalization capabilities, to better metric data and expanded regional support, check out a complete list of updates below. Amazon publishes monthly updates on the Alexa blog.
Qeexo recently announced its AutoML platform. Qeexo AutoML brings machine learning to edge devices. Traditionally, machine learning has not been possible on edge devices because of limitations on compute power and memory size. Qeexo has done it with supported devices currently available.
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.
Fourteen APIs have been added to the ProgrammableWeb directory in categories including Email, Compliance, and Machine Learning. Highlights include an API for retrieving legal data from the U.S. court system and an API for Kwik delivery services in West Africa. Here's a look at what is new.
Thirteen APIs have been added to the ProgrammableWeb directory in categories including Internet of Things, Identity, and Machine Learning. Highlights include an API for IBM Watson enabled branded assistants and an API for trivia from the Jeopardy TV show. Here's a rundown of the latest additions.
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.
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.
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.
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.
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.
ActiveWizards presents a valuable profile of the most capable text processing APIs. No longer just robust search engines, test processing evaluates many aspects of a document, such as its subject, tone, classification, and more. Let these APIs give you control of your growing content database.
RingCentral further integrated its communications features within enterprise systems. RingCentral Embeddable uses RingCentral's core voice and SMS features and allows access to such features within third party apps. The new e-Discovery and message retention APIs allows better compliance reporting.
As many carriers begin to block burst SMS campaigns from short codes and toll free numbers, Bandwidth is empowering businesses with the ability to perform burst campaigns from local numbers. Using 10DLC SMS routes, Bandwidth has introduced its Local A2P API to build trust through local numbers.
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.