Source: zdnet.com Who doesn’t love shiny things? Well… robots for one. The same goes for transparent objects. At least, that’s long been the case. Machine vision has stumbled when it comes to shiny or reflective surfaces, and that’s limited use cases for automation even as advances in the field push robots into more and more new spaces. Now, researchers Read More
Tag: applications
Source: the-scientist.com Although cough and fever have been considered the most tell-tale signs of COVID-19, in May, researchers published a study suggesting that loss of smell and taste were better able to predict who would test positive for the disease. The insight came from data shared by millions of individuals who logged on to a phone app Read More
Source: zdnet.com The pool in our building in Los Angeles is open, but only by reservation and under strictly enforced social distancing guidelines. Between visitors, an attendant armed with a bottle of disinfecting spray retraces guests’ steps spritzing any surfacing they might have touched. Clean is the new norm. Hospital-level sanitation is now expected in Read More
Source: analyticsinsight.net The enormous impact of the COVID-19 pandemic is obvious. What many still haven’t realized, however, is that the impact on ongoing data science production setups has been dramatic, too. Many of the models used for segmentation or forecasting started to fail when traffic and shopping patterns changed, supply chains were interrupted, and borders were locked Read More
Source: sciencebusiness.net New legislation is needed for “high-risk” applications of artificial intelligence (AI), in the view of a slim majority of companies that responded to a recent European Commission consultation. The commission on Friday published an overview of the 1,215 responses it received on possible AI legislation, which show a wide mix of opinions on Read More
Source: itproportal.com Microservice architecture is growing in popularity and its adopters are enjoying considerable success, suggests a new report from O’Reilly. The “Microservices Adoption in 2020” report, based on a poll of 1,500 software engineers, systems and technical architects, engineers and decision-makers, states that more than three quarters (77 percent) of businesses have now adopted Read More
Source: betanews.com The use of microservices is succeeding for 92 percent of organizations according to new research from learning resources company O’Reilly. It surveyed over 1,500 software engineers, systems and technical architects, engineers, and decision-makers from around the globe and finds that 77 percent of respondents have adopted microservices. Microservices are clearly flavor of the month Read More
Source: insidegnss.com The European GNSS Agency (GSA) has published a White Paper on “Power-efficient positioning for the Internet of Things,” providing an overview of GNSS technologies that are relevant for low-power IoT applications, including those that require hybridization with other connectivity solutions. Billions of Internet-connected devices are capable of sensing, communicating, interacting, computing and actuating. Read More
Source: searchvmware.techtarget.com VMware offers Kubernetes on vSphere, but the vendor still has work to do to make vSphere ideal for modern applications. Kubernetes enables applications to run in containers at scale for microservices-based applications, but users must combine a collection of microservices to create a full application — which is one role of a service Read More
Source: it.toolbox.com Cloud applications and microservices in an ever-so-complex distributed system need robust, secure, and cross-platform communication software to support the easy exchange of data within applications. Enter ‘message brokers’ – a software that serves as an inter-application communication channel, enabling apps to communicate with each other even if they are written in different languages Read More
Source: mytotalretail.com In recent years, artificial intelligence (AI) and machine learning (ML) technologies have successfully penetrated many industries, ranging from healthcare to automotive. However, retail is particularly susceptible to adopting various ML applications as data is this industry’s driving force both in the physical and e-commerce realms. For example, an AI-powered recommendation engine has become Read More
Source: analyticsindiamag.com As data science proceeds to evolve and become even more blended with operation systems, the role of data science product manager is growing significantly. But, often the same work that is going into one data science product (within an enterprise) may also have another use case for a separate business department. There is Read More
Source: bestgamingpro.com Deep learning opens a brand new stage of capabilities inside the synthetic intelligence realm, however its use has been restricted to knowledge scientists. These days, lastly, it could be ripe for “democratization,” that means it’s poised to turn out to be an accessible set of applied sciences accessible to all who want it — Read More
Source: thecantonsentinel.com XploreMR provides useful information on the competitive environment and strategies of key players in a new study titled “ Lifesciences Data Mining and Visualization Market to Undertake Strapping Growth During 2017 to 2026″ Data mining applications greatly benefit all firms involved in the lifesciences industry. For example, data mining helps insurers in detecting abuse Read More
Source: swisscognitive.ch Artificial intelligence (AI) and machine learning (ML) have the power to deliver business value and impact across a wide range of use cases, which has led to their rapidly increasing deployment across verticals. For example, the financial services industry is investing significantly in leveraging machine learning to monetize data assets, improve customer experience and enhance operational efficiencies. Read More
Source: siliconangle.com Northflank Ltd., a cloud-based DevOps startup, today announced it has raised $2.6 million in a seed round led by Kindred Ventures, Stride.VC and Amaranthine Partners, alongside the launch of its full-stack cloud platform. The platform enables developers to easily build, run and operate web applications, microservices and databases via a real-time back end and application Read More
Source: analyticsinsight.net Disruptive Innovation is transforming the world today. Technologies have the power to change a country’s or an industry’s trajectory in terms of financial gains, productivity benefits, and market standing. Some of these, like Artificial Intelligence, robotics, virtual reality augmented reality, RPA, IoT, have expanded the open-end process of potential value of industries in Read More
Source: verdict.co.uk BaoTech Corporation and Neutrinos have partnered to offer new-age digital insurance applications to insurance carriers, brokers and InsurTechs. These applications will be powered by eBaoTech’s Insurance PaaS platform eBaoCloud InsureMO (InsureMO) and Neutrinos’ Low Code Multi-Experience Development Platform (MXDP). Joint customers can utilise the front-end application development capabilities for Omni-channels offered by Neutrinos’ Read More
Source: helpnetsecurity.com With businesses from various industries tightening their belt due to pandemic-induced economic challenges, investing in data science applications and building out their teams may be taking a backseat. While the primary focus must be on preserving cash flow, what many companies don’t realize is the power evolving data science applications have on business Read More
Source: biztechmagazine.com Small businesses collect large amounts of data. Most already generate and manage almost 48 terabytes’ worth, and that number is constantly climbing. Effective collection and use of Big Data offers big benefits, from tracking customer purchase history and service interactions to predicting new trends and delivering prescriptive advice for current operations. As noted by Forbes, Read More
Source: itnews.com.au NSW Health Pathology relied on its investment in API-led connectivity over the past four years to rapidly build out “world-class” public facing services in response to the coronavirus pandemic. Enterprise architect Tim Eckersley told the MuleSoft CONNECT digital summit last week the agency was able to move with speed in the early stages Read More
Source: analyticsinsight.net Looking at quantum computing-fueled applications of the future, we much of the time look to the innovation’s capability to take care of computationally-intensive mathematical problems, which could lead to breakthroughs in drug discovery, logistics, cryptography, and finance. A research paper by Bernhard Dieber and different scholastics entitled Quantum Computation in Robotic Science and Applications, Read More
Source: inventiva.co.in An Introduction To Artificial Intelligence: In the field of computer science, artificial intelligence – sometimes termed as machine intelligence – is “intelligence” portrayed by machines of various kinds. This sort of intelligence is defined to be any device that perceives the environment it is surrounded by, and acts to maximize its chance of Read More
Source: containerjournal.com SAP, at its SAPPHIRE NOW Converge online conference, announced it has further unified its Business Technology Platform around a set of curated microservices from SAP and third-party partners that IT organizations can mix and match to their needs. Gunther Rothermel, president of the SAP Cloud Platform, says SAP is on a journey toward migrating away from monolithic Read More
Source: diginomica.com Most companies aren’t adopting modern software development approaches such as microservices architectures without compelling business reasons for doing so — to accelerate time to market, gain greater agility to respond to emerging opportunities, and deliver differentiated experiences that grow the customer base, customer lifetime value, and market share. Modern software development is good Read More
Source: analyticsinsight.net Cognitive computing typically refers to simulate human intelligence to enable computers to understand data and derive insights, all through the use of AI and machine learning. Applications of cognitive computing are enormous giving computers the human-like brain to compute data at fast. As a collection of algorithmic capabilities, the technology strengthens employee performance, Read More
Source: analyticsinsight.ne The quest for making machines, to think, and act like humans has evolved from movie-fiction to real-world applications. Yet we are far from replicating the cognitive thinking of humans with accuracy and precision. Although the bots, cobots, robots, humanoids, and digital humans can either outplay or coordinate with us in many ways, unlike Read More
Source: searchenterpriseai.techtarget.com Machine learning has moved from the stuff of science fiction to a staple of modern business, as organizations across nearly every industry vertical implement ML technologies. Doctors are using machine learning to more accurately diagnosis and treat their patients, retailers are using ML to get the right merchandise to the right stores at the right Read More
Source: sdtimes.com In today’s modern software world, applications and infrastructure are melding together in different ways. Nowhere is that more apparent than with microservices, delivered in containers that also hold infrastructure configuration code. That, combined with more complex application architectures (APIs, multiple data sources, multicloud distributions and more), and the ephemeral nature of software as Read More
Source: zdnet.com The idea behind microservices and a microservices architecture is relatively simple: hide all the complexities of hardware, operating systems, and different development toolkits behind a standard ‘service’ that is available on a network. Perhaps the simplest way to illustrate this is with an example. If you click this link, you’ll access Zippopotamus, an open Read More