The Latest News On The API Economy
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Microsoft has expanded Azure Cognitive Services Text Analytics. Text Analytics for Health allows users to extract and analyze unstructured medical data. Microsoft trained the engine with a broad range of medical data sets including clinical notes, clinical trials protocols, and more.
Google has made a standalone version of its Machine Learning Kit SDK available to developers, allowing them to create AI-assisted apps directly on devices. The big change includes two new APIs that make it possible to create web-connected ML Kit apps without requiring Firebase.
Eight APIs have been added to the ProgrammableWeb directory in categories including Payments, Cryptocurrency and Machine Learning. Highlights include the LunarCRUSH API which provides trend analysis about cryptocurrency and the QuadPay API for splitting payments into four installments.
OpenAI has announced an API for accessing new AI models it develops. The new API takes a different approach from typical AI systems. Most AI systems are designed for specific use cases. OpenAI considers its offering a "general-purpose" AI system provided by a "text in, text out interface."
TensorFlow has added the Quantization Aware Training (QAT) API to its TensorFlow Model Optimization Toolkit. QAT allows developers to train and deploy models in a manner that leverages both quantization and accuracy. Information loss typically associated with quantization is carved out as noise.
Google has beta released its new Cloud AI Platform Pipelines. It allows developers to deploy robust, repeatable ML pipelines that include monitoring, auditing, version tracking, and reproducibility. Google has specifically designed the offering to be enterprise-ready, simple to install, and secure.
Even with today's open source technologies for applying artificial intelligence and machine learning, there are still some thorny challenges to getting both right. Especially at a reasonable cost to both the pocketbook and the planet. But API-led approaches might be able to ease the pain.
The Google Cloud Vision API will no longer provide gender determination as part of its image analysis functionality. The announcement directly affects the ‘LABEL_DETECTION’ function of the API which prior to today would return labels such as ‘woman’ or ‘man’.
Twilio has released its annual State of Customer Engagement Report and to find out more about the report and the trends that it spotlights, ProgrammableWeb's editor-in-chief David Berlind captured a video interview with Al Cook, the company's Vice President and General Manager of AI
Intellect SEEC announced today the launch of its Contextual Sentiment API on the AWS marketplace. This API uses Machine Learning and Natural Language Processing (NLP) technology to provide real-time text analysis and score/measure the contextual emotional response to a product/brand or a service.
Neurala, AI-powered visual inspection solution provider, recently announced that its Brain Builder SDK has now been optimized to enable edge learning for use cases such as manufacturing. Brain Builder is a vision AI platform and allows users to build customized AI solutions on a network edge device.
Bing announced version 13 of the Bing Ads API in April of 2019. With that announcement came the warning of version 12’s demise, which was scheduled for October 31, 2019. That time has come and past. Bing is now notifying developers that all version 12 endpoints will soon return error 303.
The Cognitive Computing section of our Most Interesting APIs in 2019 series includes APIs from categories such as AI, ML, Recognition, Predictions, Sentiment and more that aim to make computers think like computers. Dozens of APIs were added in these areas this past year, here are some highlights.
Panasonic has announced a facial recognition API under its μSockets B2B IoT service. Although Panasonic has built a strong portfolio of facial recognition technology over the years, it has never provided access to the developer community at large through an API. It is currently available in Japan.
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.
In this article, we offer an introduction and tutorial on serpstack, a free, real-time Google search results API used to monitor brand performance on search engine results pages around the world. serpstack is a vital SEO tool to research and understand search engine performance.
Zenserp provides developers with search engine result page (SERP) data via APIs. The company claims that its APIs are designed to closely mimic human search behavior in an effort to provide the most useful data. Today Zenserp has announced a new image recognition API.
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.