Amazon Web Services (AWS) has packaged up another in-house Amazon capability and made it available to customers, having announced Contact Lens for Amazon Connect on Tuesday. CEO Andy Jassy has touted that Contact Lens for Amazon Connect -- the company's omnichannel cloud contact centre service -- will stitch together new abstractions for machine learning so AWS customers can have an easy to consume function. "Amazon Connect is one of the fastest growing services in the history of AWS … off to a blazing start," he said during the day one keynote of AWS re:Invent in Las Vegas. "Using the same customer service technology Amazon has used … it's really easy to use." According to Jassy, Connect is the first call centre in the cloud with machine learning in mind.

In an extension of its current managed services contract, Orange has re-selected Ericsson as its managed services provider (MSP) in Belgium, Moldova, Romania, Slovakia, and Spain, supporting around 40 million customers. Under the teams of the three-year contract that can be extended to five years, Ericsson will provide a fully managed end-to-end operations service to assist the telco to transform its operations. The package will include network operations, field support and maintenance, as well as a spare parts service management for Orange's fixed-line access, 2G, 3G, 4G and future 5G networks. Network performance, optimisation and network expansion are optional components and will be delivered in only some of the countries. The deal will also see the deployment of the Ericsson Operations Engine, an artificial intelligence-driven operating model to enhance subscribers' user experience.

As of late, we've been using PostgreSQL in BigML quite a lot, and so do some of our customers. We love the features that they are bringing in the next release (which is in Beta as I write) and particularly the one that allows creating what they call generated columns. In this post, I'll be explaining what these generated columns are and how they can use the Machine Learning models in BigML to fill in any numeric or categorical field in your table. A generated column is a special column that is defined as the result of a computation that involves any of the values of the regular columns in the row. Say you have a table of contacts in your database where you fill in their first and last name plus their email.

NXP Semiconductors N.V. has rolled out a machine learning environment aimed at developers of intelligent vision, voice, and industrial applications. The new software environment is said to be unique in that it brings machine learning to so-called "edge" applications, where cost, processing power, and memory availability may be constrained. It also simplifies the process of employing machine learning--especially for engineers who have no idea how to get started. "Up to now, machine learning has been done by major OEMs and big companies on expensive chips," Gowri Chindalore, head of technology and business strategy for embedded processors at NXP, told Design News. "We are lowering the barrier for implementing machine learning, so it can go into cost-sensitive, edge-processing applications."

ARM Holdings announced today Project Trillium consisting of a new suite of ARM IP designed from the offset to bring machine learning to edge devices. The new ARM IP suite will include scalable processors designed to deliver enhanced neural network and machine learning functionality with a focus on the mobile market, according to ARM, which also revealed the fact that they'll enable a new class of machine learning-equipped devices that feature advanced computing capabilities. "The rapid acceleration of artificial intelligence into edge devices is placing increased requirements for innovation to address compute while maintaining a power efficient footprint. To meet this demand, Arm is announcing its new ML platform, Project Trillium," said Rene Haas, president, IP Products Group, Arm. The company said that the high-performance AI and machine learning capabilities, as well as the advanced scalability and flexibility of its new processors developed as part of Project Trillium are required by new devices and will open the door to the development of more advanced smart devices.

With the release of Core ML by Apple at WWDC 2017, iOS, macOS, watchOS and tvOS developers can now easily integrate a machine learning model into their app. This enables developers to bring intelligent new features to users with just a few lines of code. Core ML makes machine learning more accessible to mobile developers. It also enables rapid prototyping and the use of different sensors (like the camera, GPS, etc.) to create more powerful apps than ever. Members of the MXNet community, including contributors from Apple and Amazon Web Services (AWS), have collaborated to produce a tool that converts machine learning models built using MXNet to Core ML format.

AI is going everywhere – into space, inside the human body and now, into your mouth. Ara, the world's first AI-capable toothbrush will actually teach you how to brush your teeth better. If you're a dentist, you'll probably get to keep your day job. Ara, from Kolibree, a French oral care company with offices in France and the United States, connects with an app on your smartphone to transmit data about your brushing habits. It will know exactly how you brush and whether or not it's good enough to keep dental problems at bay.

The collaboration will accelerate the creation of Zebra's imaging analytics engine and create neural networks that will use Zebra's vast imaging dataset to assist radiologists with automated diagnostic algorithms. Kibbutz Shefayim Israel, May 24, 2016 - Zebra Medical Vision is announcing a new collaboration with Intermountain Healthcare, one of the top performing integrated care providers in the U.S. Intermountain plans to work with Zebra to accelerate the creation of meaningful imaging algorithms to improve patient care. Zebra is also announcing today an additional financing round of 12 million led by Intermountain Healthcare, with the participation of existing investors. Zebra Medical Vision was founded in 2014 with the vision of teaching computers to automatically read and diagnose medical imaging data. The company's analytics engine helps physicians and healthcare providers analyze millions of imaging records, in an effort to close the diagnostic gap created by a billion people worldwide joining the middle class in the coming decade, who will require diagnostic services.