Fujitsu Laboratories Ltd. and Fujitsu Research and Development Center Co., Ltd. are developing new technology to analyze traffic video in order to provide real-time information on congestion, accidents and crime violations. Using machine learning and image processing, the technology analyzes the images from surveillance cameras installed along highways and streets, and groups characteristics that can lead to recognition errors, such as changes in lighting or environmental factors like nighttime and fog. The technology also analyzes moving objects, such as vehicles, bicycles and people, to identify accidents. A comparison of the previous traffic camera technology (left) and a sample of the application Fujitsu is testing (right). Source: Fujitsu The goal is to improve the way surveillance cameras can be used to improve traffic safety, reduce pollution and reduce congestion.

Cancer treatments are about to get an injection of cognitive computing. On Tuesday, IBM Watson Health and Quest Diagnostics launched IBM Watson for Genomics--a service that combines Watson's AI capabilities with genomic tumor sequencing to determine the best course of treatment for individual patients. This is the first time Watson for Genomics will be widely available to patients and physicians nationwide, according to a press release, as Quest Diagnostics serves half of US physicians and hospitals. Quest estimates that it will provide this service for thousands of oncologists who provide about 70% of cancer care in the nation. Tumor mutations vary for each individual, and treatment success often depends on how well a physician can match a therapy to a mutation.

Zürich, Switzerland / Bad Neustadt, Germany - 18 Oct 2016: Today, RHÖN-KLINIKUM AG (RKA), a private hospital group in Germany, has announced, that by the end of the year, it will begin piloting a Watson-powered cognitive assistance system to help support physicians at the group's Centre for Undiagnosed and Rare Diseases located at the University Hospital Marburg. Since it opened in 2013, the renowned Center has been contacted by more than 6,000 patients to visit Prof. Dr. Jürgen Schäfer, a leading expert in rare diseases, who is also known as the "German Dr. House," based on the character of the eponymous American medical television drama. Most of the patients he and his team meets with have year-long medical histories, which include a large amount of unstructured data, such as laboratory tests, clinical reports, drug prescriptions, radiology findings as well as pathology reports. "It's not uncommon for our patients to have thousands of medical documents, leaving us overwhelmed, not only by the large number of patients, but also by the huge amount of data to be reviewed," said Prof. Dr. Jürgen Schäfer, University Hospital Marburg. "This is especially challenging because our work is often like searching for the proverbial needle in the haystack -- even the smallest piece of information could lead to an accurate diagnosis."

Following on from an earlier story, where I introduced some common patterns used to build chat bots, we're now going to look at building some of those patterns using IBM Watson. If you haven't used the Watson Conversation service before, you may want to read about the basics of building a bot with Watson in "Getting Chatty with IBM Watson". One of the things I talked about was providing guidance at the beginning of the chat. To provide this before the user says anything you can add a "conversation_start" condition to a node. You can add more conditions to "conversation_start" nodes if you want to have different introductions depending on some external factor, e.g. from your app you could pass in the time of day in the context, and then say "good morning", "good afternoon" or "good evening" depending on that value.

Being the world's largest online-only grocery supermarket with over 500,000 active customers means we get the opportunity to interact with people all across the UK on a daily basis. Ocado prides itself on offering the best customer service in the industry which is one of the many reasons why our customers keep coming back. Since Ocado doesn't have physical stores, there are mainly two ways our customers and our employees interact directly. The first (and probably most common) is when our drivers deliver the groceries to the customers' doorsteps; the second is when customers call or email us using our contact center based in the UK. Today we're going to tell you a bit more about how a customer contact center works and how Ocado is making it smarter.

Doctor House is going electronic. Medics charged with diagnosing the kind of extremely rare diseases that Hugh Laurie's consultant routinely spots in TV drama House have found that artificial intelligence can do a similar job – but in seconds rather than days or weeks. From December, doctors at the University Hospital of Marburg's Centre for Undiagnosed and Rare Diseases (known as ZusE in German) will start using IBM's Watson to speed up their diagnoses. In 2011, Watson famously won the gameshow Jeopardy! Doctors are now training it on peer-reviewed rare disease literature to help them spot unusual illnesses.

You read that right – it's not Sherlock saying it this time! IBM Watson's cognitive computing capabilities and superhuman intelligence stand it in good stead to switch roles with the legendary fictitious detective Sherlock Holmes who could crack the most mind-boggling of mysteries, find answers to the unanswered questions everyone had and draw insights from information in a way no one could even fathom! For those of you who aren't yet familiar with IBM Watson, it is a technology platform that uses natural language processing and machine learning to reveal insights from large amounts of unstructured data. It has refined cognitive abilities to quickly understand context, learn from experience and draw inferences and insights from a sea of information that would otherwise be humanly impossible to wade through. This is way beyond mere data-matching or search engine functions – Watson uses advanced ways of inferring context, meaning, implications and fallouts of the voluminous content it indexes in its operations.

Open-source auto company Local Motors is constantly redefining itself. The company began with the Rally Fighter, whose designs were crowdsourced from the Local Motors community. The firm then jumped into the 3D printing industry, first 3D printing the Strati concept vehicle and then embarking on a complete line of 3D-printed road-ready cars, set to hit highways in 2017. At the grand opening of the company's new facility in National Harbor, MD, Local Motors redefined itself once again by unveiling "Olli", the first self-driving vehicle powered by IBM Watson. Watson will allow the auto to take advantage of a number of advanced cognitive computing capabilities, including the ability to answer questions from the vehicle's passengers.

In 2014, IBM launched the Watson Developer Cloud, making the power of cognitive computing available to developers across the world through a set of APIs on IBM's BlueMix platform. We've seen volumes of applications built by companies covering everything from personal health and fitness to travel and entertainment to financial services. It was amazing to see these early adopters jump onboard and showcase the power of cognitive computing. We want to make it even easier for developers to learn how to build and deploy cognitive applications – and even more importantly, to distinguish themselves for having developed these critical skills. That's why today, IBM is announcing a new program -- the IBM Watson Application Developer Certification -- designed to help developers all across the world build and validate their skills as well as connect with companies looking to leverage their unique talents. We watch every day as individuals explore and apply Watson in new ways -- from building natural language interfaces in a variety of languages so consumers can get answers faster to helping doctors uncover critical new insights from medical imagery.

Enterprise search leader Lucidworks is tapping into the IBM Watson Developer Cloud platform for its Fusion platform, an application framework that helps developers to create enterprise discovery applications so companies can understand their data and take action on insights. Today's knowledge workers face an avalanche of data and documents. Lucidworks' Fusion is an application framework for creating powerful enterprise discovery apps that help organizations access all their information to make better, data-driven decisions. Fusion can process massive amounts of structured and multi-structured data in context, including voice, text, numerical, and spatial data. By integrating Watson's ability to read 800 million pages per second, Fusion can deliver insights within seconds.