The Latest News On The API Economy
Searching: No Search Term , Filtered By Category: "Machine Learning", Category: "Big Data", Category: "Intelligence"
Amazon has announced the general availability of AWS Lake Formation. Lake Formation is a managed service that eases developers' ability to build, secure, and manage data lakes. Amazon achieves its goal through automation of functions such as collecting, cleaning, cataloging and securing data.
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.
Looker has introduced a number of new developer tools to extend both its use to the business community and the developer community. A new SDK and set of open source tools aim to support new Looker apps and use cases through third parties, and four new visualizations provide new business insights.
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.
Traders have the opportunity to leverage the value of big data with their trading strategies. Most traders are accustomed to looking at price data to generate signals, however non-traditional sources of data can also be used to identify opportunities and eliminate inefficiencies.
Roughly a year after Elastic Beam launched a machine-learning driven API security solution, Ping Identity stepped-in, acquired the startup, and folded it into its portfolio as the Ping Intelligence Business Unit. With dust from that marriage having settled, Ping's Jason Bonds gives us an update.
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.
Nine APIs have been added to the ProgrammableWeb directory in categories including Marketplace, Big Data, and Blockchain. Featured today is the STAPI API, which provides Star Trek TV show, film, comics data and data from other sources. Here's a rundown of the latest additions.
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.
Neurotechnology introduced a lite version of its VeriLook SDK. The new SDK, Face Verification SDK, has a smaller library and is targeting mobile technology and apps that need enhanced security (e.g. banks, ecommerce, login providers, payment processors, etc.). SDK available across most platforms.