Competition to build retail mindshare and customer loyalty has never been more fierce. Brands must continually evolve their products and deliver a personalized approach to win the hearts and minds of customers. Delivering the technology that helps them do exactly that, Portugal Country Leader Bruno Morais, and Mike Webster, senior vice president and general manager Oracle Retail, unveiled a new Innovation and Technology Center in Porto. The center will focus initially on delivering breakthrough retail innovations leveraging the latest technologies, including artificial intelligence and machine learning. "Oracle Portugal is delighted to see Oracle's Global Retail business unit's commitment to and investment in people and technologies in Porto. Similarly, we are delighted to contribute to the development of Porto through the creation of this global technology and innovation hub," said Morais.

Microsoft is nowadays one of the major providers for AI powered cloud services. In fact, according to a RightScale's survey carried out in 2018, Microsoft Azure Cloud services are currently second just to Amazon AWS (Figure 1). In this article, I will be considering Microsoft as case study as Microsoft CEO Satya Nadella recently shared Microsoft interest to make AI a vital part of their business [1]. I will now introduce you to some of the different Microsoft tools which are currently available and some alternatives provided by the completion. Finally, we will focus on what are going to be next steps in research.

It comes in many shapes and forms, and can be found almost anywhere in the workplace, but where we see it most at play – and where it can be most damaging for businesses – is during the recruitment process. Bias plays a major role when it comes to hiring new talent, whether we like to admit it or not. Most of the time it is unconscious bias, meaning it happens without even realising it, triggered by our brain making a quick judgment. Unconscious bias is more common than we think. In the workplace it's particularly rife, though most hate to admit it, which in turn makes it even more challenging to remove it.

Von Neumann Architecture Neuromorphic Architecture Neuromorphic architectures address challenges like high power consumption, low speed, and other efficiency-related bottlenecks prevalent in the traditional von Neumann architecture Architecture Bottleneck CPU Memory Neuromorphic architectures integrate processing and storage, getting rid of the bus bottleneck connecting the CPU and memory Encoding Scheme and Signals Unlike the von Neumann architecture with sudden highs and lows in the form of binary encoding, neuromorphic chips offer a continuous analog transition in the form of spiking signals Devices and Components CPU, memory, logic gates, etc. Artificial neurons and synapses Neuromorphic devices and components are more complex than logic gates Versus Versus Versus 10. NEUROMORPHIC CHIPSETS 10 SAMPLE REPORT Neuromorphic Chipsets vs. GPUs Parameters Neuromorphic Chips GPU Chips Basic Operation Based on the emulation of the biological nature of neurons onto a chip Use parallel processing to perform mathematical operations Parallelism Inherent parallelism enabled by neurons and synapses Require the development of architectures for parallel processing to handle multiple tasks simultaneously Data Processing High High Power Low Power-intensive Accuracy Low High Industry Adoption Still in the experimental stage More accessible Software New tools and methodologies need to be developed for programming neuromorphic hardware Easier to program than neuromorphic silicons Memory Integrated memory and neural processing Use of an external memory Limitations • Not suitable for precise calculations and programming- related challenges • Creation of neuromorphic devices is difficult due to the complexity of interconnections • Thread limited • Suboptimal for massively parallel structures Neuromorphic chipsets are at an early stage of development, and would take approximately 20 years to be at the same level as GPUs. The asynchronous operation of neuromorphic chips makes them more efficient than other processing units.

NASHVILLE, Tenn.--(BUSINESS WIRE)--Change Healthcare (Nasdaq: CHNG), today announced that its artificial intelligence (AI) technology has been added to the CareSelect Imaging decision support solution. The new AI capabilities will help healthcare providers using leading electronic health record (EHR) systems enhance workflow efficiency, improve patient safety, provide higher-value care, and meet pending regulatory requirements. CareSelect Imaging now uses Change Healthcare AI in EHR workflow to help physicians streamline imaging orders. In addition, it helps providers comply with new Protecting Access to Medicare Act (PAMA) requirements governing advanced imaging ordered under Medicare Part B. "Bringing Change Healthcare AI to CareSelect Imaging helps providers ensure they're delivering the highest quality, most appropriate care, while reducing their administrative and regulatory burdens through advanced automation," said Michael Mardini, CEO of National Decision Support Company, a Change Healthcare Company. "This is a perfect example of how strategic applications of AI will continue to improve healthcare processes and benefit all stakeholders."

A Polish startup is using artificial intelligence-powered technology to help parents monitor their children for early signs of respiratory issues. StethoMe, based in the city of Poznań, has developed a smart wireless stethoscope that can detect, classify and analyze pathological sounds within children's lungs through the use of AI. It claims that the technology can increase the accuracy of results and analysis by up to 13%, providing "peace of mind for parents examining their children at home" and "more accurate readings for doctors". "The healthcare challenge we are tackling is the lack of remote auscultation and the poor accuracy and subjectiveness of this kind of examination. There is currently no objective method for diagnosing lung conditions at home," says CEO Wojciech Radomski. "The absence of a solution poses difficulties in the monitoring of chronic respiratory diseases such as asthma, cystic fibrosis, as well as cardiac screening.

WIRE)--Arm TechCon – Today at Arm TechCon 2019, Arm CEO Simon Segars announced Arm Custom Instructions, a new feature for the Armv8-M architecture. Arm Custom Instructions will initially be implemented in Arm Cortex -M33 CPUs starting in the first half of 2020 at no additional cost to new and existing licensees, enabling SoC designers to add their own instructions for specific embedded and IoT applications without risk of software fragmentation. "A world of a trillion secure intelligent devices will be built on a diversity of complex use cases requiring increased synergy between hardware and software design," said Dipti Vachani, senior vice president and general manager, Automotive and IoT Line of Business, Arm. "We have engineered Arm Custom Instructions to fuel closer hardware and software co-design efforts toward achieving application-specific acceleration while unlocking greater device differentiation." Architected as part of the evolution of the Armv8-M architecture with secure Arm TrustZone technology, Arm Custom Instructions are based on a simple guiding principle; the CPU is a chassis for Arm silicon partner innovation.

Five Dutch companies including Ahold Delhaize, ING, KLM, NS and Philips aim to further boost the AI ecosystem in the Netherlands by accelerating and promoting the development of AI technology and nurturing AI talent in the country. This effort will add educational capacity, foster the development of the AI community in the Netherlands and reiterate the position of the Netherlands as a competitive and relevant global AI hub. The goal of Kickstart AI, is to bridge the AI gap between the Netherlands and other countries, like the UK, the US and China, that have made notable progress in this area. In order to keep the country's position as a pioneer and inventor of technologies, the Dutch government, organizations and universities have ground to cover in terms of structural investments and availability of global AI talent. The five companies "kickstarting" AI are, for the first time, uniting forces in this kind of joint initiative and taking highly needed decisive action.

John McCarthy, the father of Artificial Intelligence, describes it as "the science and engineering of making intelligent machines, especially intelligent computer programs". Artificial Intelligence is a way of making a computer and software related to computer which can think intelligently and autonomously, kind of similar to a human mind. In general understanding artificial intelligence is accomplished by studying how a human brain works while solving a problem and in what manner it learns and makes decisions, where outcomes of such kind of study are used as the basis of developing intelligent software and systems. Till now this field was dominated by quasi-artificial intelligent systems called "expert systems," which mainly used a rules-based decision-making process.1 In other words, we can interpret that these systems were not fully autonomous and, therefore, not truly intelligent, because they lacked the ability to learn and produce unpredictable results, and mostly they acted in a manner predetermined by their programming.2

BURLINGTON, Mass., Oct. 10, 2019 (GLOBE NEWSWIRE) -- Cerence Inc. (NASDAQ:CRNC), AI for a world in motion, today announced it is now a resident partner of Mila – Quebec Artificial Intelligence Institute, an academic institution dedicated to supporting researchers specializing in the field of deep learning. The partnership enables Cerence and Mila to further research and advance cutting-edge work in machine learning and enhance automotive AI applications. As part of the relationship, Cerence researchers will work with Mila interns on projects and contribute to research, publications, and presentations in an AI lab at Mila's Montreal headquarters, just a short distance from Cerence's Montreal office, one of its key global R&D sites with nearly 450 employees. "As we continue to advance our research agenda and begin our new journey as Cerence, we are thrilled to have Mila as a resource," said Udo Haiber, Senior Vice President, Research & Development at Cerence. "Our automotive-focused R&D team and their decades of experience have put us at the forefront of innovation in the car, together with the world's leading automakers. Our new alignment with Mila will enable us to work more closely with academic AI researchers worldwide to continue to revolutionize the in-car experience, especially as we approach the horizon of autonomous vehicles."