IBM Watson Health has formed a medical imaging collaborative with more than 15 leading healthcare organizations. The goal: To take on some of the most deadly diseases. The collaborative, which includes health systems, academic medical centers, ambulatory radiology providers and imaging technology companies, aims to help doctors address breast, lung, and other cancers; diabetes; eye health; brain disease; and heart disease and related conditions, such as stroke. Watson will mine insights from what IBM calls previously invisible unstructured imaging data and combine it with a broad variety of data from other sources, such as data from electronic health records, radiology and pathology reports, lab results, doctors' progress notes, medical journals, clinical care guidelines and published outcomes studies. As the work of the collaborative evolves, Watson's rationale and insights will evolve, informed by the latest combined thinking of the participating organizations.

I'm pleased to announce that the IBM Watson IoT Platform now has the ability to add Internet of Things (IoT) data, to Blockchain transactions. Leveraging blockchain for your IoT data opens up new ways of automating business processes amongst your partners without setting up an expensive centralized IT infrastructure. This gives you the potential to improve business networks, reduce costs, increase trust and open up new markets. A solution brief provides an overview of the capabilities and use cases being announced. The new features within the Watson IoT Platform are available through two new Lab Services Offerings.

At Satisfi, we are on the hunt for ways to improve customer engagement in retail spaces and change the way brands and consumers interact. By tapping into the cognitive computing smarts of IBM Watson, coupled with our intelligent engagement platform, our goal is to uncover new ways retailers can reach customers and deliver the personalized experiences they crave.Today, Satisfi has teamed up with IBM and Macy's to unveil the pilot of Macy's On Call, a first-of-its kind, in-store shopping assistant powered by artificial intelligence. Using our platform and Watson's Natural Language Classifier and Language Translation APIs, we've built a tool to help shoppers easily access the information they need as they shop and navigate the store. Consumers can ask questions in natural language and seek out information in-store, all from the palms of their hands.Macy's On Call is being piloted at 10 Macy's across the country. In response, the tool will deliver a relevant response and the location of that product in the store.

IBM's Watson may be putting its cognitive muscle to work battling cancer and cybercriminals, but it's no slouch at shopping, either. On Wednesday, retail brand Macy's announced that it's testing out a new mobile service that lets in-store shoppers ask Watson for help. Dubbed Macy's On-Call, the tool gives smartphone-equipped shoppers a way to ask Watson questions about a store's products, services and facilities by typing their questions into a mobile browser. It's delivered through location-based engagement software from IBM partner Satisfi, which accesses Watson from the cloud, and it works in both English and Spanish. Natural-language processing allows shoppers to ask questions in their own words.

This weekend saw Michael Hsu, a front-end and back-end developer, and part-time university lecturer in California, win the Best use of Watson award at the AT&T Shape Hackathon in San Francisco. Michael won the hackathon with his app focused on the Pokémon Go game. The game, using augmented reality and GPS, allows players to capture, battle, and train virtual creatures, called Pokémon, who appear on device screens as though in the real world. In this video you can see Michael, using IBM's Watson IoT platform and the Watson Visual Recognition service to take periodical screenshots, identify the Pokemon characters in them, and alert other users to where the characters are.

Under Armour, through a strategic partnership with IBM, released the UA Record application with insights powered by IBM Watson.

String just means string and number means number," according to Rosenwasser. Synopsys releases Coverity 8.5 Version 8.5 of Coverity, the static analysis tool of Synopsys, has changes and updates to the security analysis and reporting capabilities of the product. Python Serverless Microframework for AWS The AWS Developer Tools team announced the preview of the Python Serverless Microframework for AWS, which makes it possible to run and create API applications without managing any servers. Future changes to Minikube include native hypervisor support for OS X and Windows, improved support for Kubernetes features, and configurable versions of Kubernetes.

Microsoft has rolled out the beta release of TypeScript 2.0. Developers can get it after downloading TypeScript 2.0 Beta for Visual Studio 2015, which will require VS 2015 Update 3. This release includes new features like a workflow for getting TypeScript type definition files. "Null and undefined are two of the most common sources of bugs in JavaScript," and before this release, null and undefined were in the domain of every type. "If you had a function that took a string, you couldn't be sure from the type alone of whether you actually had a string--you might actually have null."

Pharma's digital health ambitions: Where are the opportunities and what's hindering progress? Looking to the future, Michael Doherty, head of strategic innovation for pharma development at Roche, said: "We are heading to a new model of drug development that will be more flexible, data will be much more continual and contextual...It won't be...

Watson combines a number of cognitive techniques to help you build and train a bot - defining intents and entities and crafting dialog to simulate conversation. The system can then be further refined with supplementary technologies to make the system more human-like or to give it a higher chance of returning the right answer. Watson Conversation allows you to deploy a range of bots via many channels, from simple, narrowly focused Bots to much more sophisticated, full-blown virtual agents across mobile devices, messaging platforms like Slack, or even through a physical robot.