Mario Balotelli has revealed he was NEVER happy at Liverpool and does NOT want to move back to Merseyside in the summer.The 25-year-old striker was loaned to AC Milan this season after scoring just once in the Premier League following his £16million Reds switch in August 2014.He has struggled for game time at San Siro, too, and it was claimed in February that the Italian is set to return to Anfield in the summer after Milan decided to turn down the option to sign him permanently.But, after starting in Milan’s last two Serie A games, the Italian media are now suggesting he might have a future with Cristian Brocchi’s team and Balotelli is keen to stay in his homeland.“In terms of my future I want to stay with Milan because I was not happy at Liverpool and don’t want to go back,” he was quoted as saying by Gazzetta dello Sport.“Plus, Milan have the money to buy me.“I’ve played well in my last two games and there are six left for me to prove what I can do.” 1 Mario Balotelli had admitted he was never happy at Liverpool
Newsgator Online, the company’s web-based feed reader and until now a relatively weak product, rolled out a feature today that makes the service worth another look. One of our favorite filtering services, AideRSS, is now ranking by popularity the individual items in feeds you subscribe to. Newsgator users can now read the most commented on, linked-to, Dugg and saved in del.icio.us posts in either a single feed or across the bulk of their subscriptions.This is something that AideRSS began offering Google Reader users earlier this month, but that implementation wasn’t as simple or elegant. It may be more powerful, though. AideRSS is a simple but powerful service that filters out just the most popular items in any feed. We use it frequently here, we used it to highlight the “greatest hits” of ten selected blogs about wonderful things for example. Newsgator Online has long been slower, uglier and more awkward to use than the company’s other consumer products like NetNewsWire and FeedDemon. It’s been much improved lately in all those matters and now offers personalized feed recommendations. Newsgator also publishes an APML file for each user’s activity, though it’s export only so far.LimitationsThe AideRSS processing is limited at launch to the 1000 most subscribed-to blogs in Newsgator. That means this is good for casual use, but one of the biggest benefits of AideRSS is its ability to process any RSS feed. I regularly use it to filter obscure blogs or blogsearch feeds, for example. You can imagine the processing power that would require though. Starting with the 1000 most popular feeds sounds like a great solution to me.Right now it’s only Newsgator Online where this integration is available – not, for example in NetNewsWire. Since the company’s desktop products sync with its online and mobile readers – it would be great if users could read at home on the desktop readers (which are some of the best products on the market) and then read just AideRSS filtered highlights on the road by mobile.We’ll see where this goes, but for now I would recommend exporting your feeds out of whatever reader you currently use, importing them into a Newsgator Online account and giving the AideRSS view a try. It’s pretty handy and OPML makes it very easy to try out.If you’re interested in RSS filtering for popularity, check out RSSMeme’s new FriendFeed filter, too. It looks pretty hot.See the screenshot below, articles truncated here but full feed display is also available. AideRSS ranking is displayed in the bottom right of each item. marshall kirkpatrick Why Tech Companies Need Simpler Terms of Servic… Tags:#Product Reviews#web 8 Best WordPress Hosting Solutions on the Market Related Posts A Web Developer’s New Best Friend is the AI Wai… Top Reasons to Go With Managed WordPress Hosting
A Web Developer’s New Best Friend is the AI Wai… peter yared Related Posts Tags:#Facebook#Google Now#PubNub#Pull Computing#push notifications#Simple Notification Service#Siri Guest author Peter Yared is co-founder and CTO at the push-notification startup Sapho.Since its inception in the 1960s, the modern computer has offered humans the same “pull computing” paradigm: make a query, get a response. Or, as we often experience it: Go to the haystack, try to find the needle.But that’s quickly changing. As software grows more intelligent and learns more about our preferences and behavior, it seemingly gets to know us. That knowledge makes software more valuable because it means that it can deliver things to us, perhaps even before we know we want it. We are at the start of the era of push computing.Pushmi-PullyuWith push computing, a computer is no longer just a question-and-answer service; it’s expected to proactively figure out what’s interesting to you and deliver that data. On mobile, that’s often an actionable stream of cards and timely notifications of important items.Push computing represents a major shift in architecture from the pull relationship computers have long maintained with users. Computing interfaces have evolved from green screens to GUIs to HTML5 to apps, but most applications have the same workflows and address the same needs in a pull-based fashion.Outside the view of users, however, software delivery has steadily evolved toward a push-type model. Just consider how far we’ve come, from the hosted timesharing of mainframes and minicomputers to dedicated Unix servers to the PC floppy disk and CD and finally to the increasingly prevalent “software-as-a-service” we see today.Over the past few years, push computing has also begun to infiltrate the interfaces of key consumer apps. Of course, as Chris Dixon recently pointed out, some Internet services are further along than others. Facebook, for instance, has mastered intelligent news feeds of cards and relevant notifications while Twitter delivers a straight temporal stream that grows more overwhelming the more accounts you follow.Don’t Push MeNot all pushes are the same, after all, and companies have to think carefully about the information that is important to push, when and why it‘s pushed, and how they expect users to react.Major players are also trying to figure out how to make push a central part of the mobile OS. As I wrote a few months ago, Google is aggressively recasting itself as a push player with Google Now and answer cards in search. Apple is decidedly in the pull camp, as Siri is rarely proactive, although the iOS notification manager is well ahead of Android’s. Push has also become the backbone of successful mobile apps powered by real time infrastructure such as PubNub and Amazon’s Simple Notification Service.Machine learning is key to the success of contemporary push-based services. Notifications and cards should only presented to users if they deliver relevant information users can act on easily.Previous attempts to provide user notifications via email failed because email notifications are typically irrelevant and spammy. We’re all well trained to avoid spam like the plague, so users typically dumped all notifications into an email folder and never looked at them at all. Email is also inherently less actionable because a user has to click on a link, log into an application, and then perform an action.For push to work, it’s crucial for applications to make their notifications actionable, friction-free, and rooted in sophisticated machine learning. Early efforts like PointCast to push information were too static and overloaded networks with continual updates.Getting Pushy At WorkWhile push got its start in the consumer realm, the case for business-based push is in many ways much stronger. Enterprise systems manage discrete events that often require urgent action. For example, a sales opportunity might be closing in a CRM system, a complaint from a customer you cover could pop up in the service system, or the HR database could flag you about a new hire you need to onboard.Conversely, the relative importance of events in consumer apps are much more nebulous. To deliver a superior experience to users, Google Now must continually learn, confirm and re-confirm details about where you live, where you work, your calendar, your travel arrangements, your preferences. Peoples’ lives and environs are constantly shifting, making it hard for the new generation of consumer apps to keep up.What is more difficult about enterprise events is that they must be extremely secure and the data is often locked away in a variety of data siloes.As users increasingly expect their services to be intelligent and proactive, push computing is making its way not just to mobile, but also to desktops and laptops by means of browser notifications. The new generation of push software is ushering in a new way for humans to interact with technology, and in the case of the Internet of Things, for technology to interact with itself in the form of networks of “smart” devices.But as digital data becomes more voluminous, our systems have to get more intelligent. They have to filter, analyze, and deliver information to users—and then only when they need to know it or act on it. The goal should always be simple: for the haystack to bring you the needle—whatever it is—before you even start to look for it.Lead photo by james moore Top Reasons to Go With Managed WordPress Hosting Why Tech Companies Need Simpler Terms of Servic… 8 Best WordPress Hosting Solutions on the Market
1 The solution was tested with TensorFlow/ ResNet50 for Inference (comparing INT8 and FP32 tests) and TensorFlow / ResNet50 for Training on March 28, 2019 with the following hardware and software configuration:Base configuration: 4 Nodes, 2x Intel® Xeon® Gold 6252; 1x Intel® Server Board S2600WFT; Total Memory 192 GB, 12 slots/16 GB/2666 MT/s DDR4 RDIMM; HyperThreading: Enable; Turbo: Enable; Storage(boot): Intel® 800GB SSD OS Drive, Storage(capacity): 2x 750GB Intel® Optane SSD DC P4800X PCIe; NIC: 1x Intel XC710, PCH: Intel C621; OS/Software: CentOS Linux release 7.6.1810 (Core) with Kernel 3.10.0-957.el7.x86_64; BIOS CPU microcode 0x400000aFramework version: TensorFlow 1.13.1,; Dataset: Synthetic from benchmark tool; Model topology: ResNet 50 v1; Batch Size: 128 High performance computing (HPC), once specialized to scientific and government supercomputers, has expanded to a range of workloads, including visualization, analytics, and artificial intelligence (AI). With so many different types of highly-demanding tasks now open for enterprises to pursue, Intel has created a family of Intel® Select Solutions based on a common foundation of hardware and software to address today’s HPC workloads.All of the solutions share a common foundation, utilizing the Intel® HPC Platform Specification to deliver consistency and compatibly with a wide range of applications. Each solution adds capabilities that tailor the solution to a specified use case, without compromising compatibility.Foundational WorkloadsExisting HPC solutions are targeted at three foundational workloads:Simulation & Modeling—designed for scientists and engineers in a variety of fields who rely on HPC simulation and modeling to improve performance and productivity, Intel® Selection Solutions for Simulation & Modeling are compatible with industry standard software from leading vendors like ANSYS*, COMSOL*, and Dassault*. Organizations, from aerodynamics to manufacturing, can streamline deployment with the solution and start simulation and modeling workloads quickly.Professional Visualization—visualization is critical to analyzing and gaining insights from the modeling and simulation results. With Intel® Select Solutions for Professional Visualization, organizations can realize software defined visualization benefits faster than trying to construct their own systems. Utilizing the Intel® Rendering Framework (comprised of OpenSWR*, Embree*, and OSPRay*) to perform in-situ simulation and visualization, the solution provides organizations the convenience of using familiar analysis tools, like ParaView*, on top of trusted Intel infrastructure. The popular application VisIt* is also included in the refreshed solution, allows scientists and engineers to quickly generate visualizations, animate them through time, and save them for presentations. The solutions offer the ability to run larger datasets, achieve faster time-to-insight by avoiding data movement I/O bottlenecks, and reduce the costs of having to move simulation data to disk for post-processing.Genomics Analytics—Intel® Selection Solution for Genomics Analytics builds on the common infrastructure of the other HPC solutions and adds the specialization of BIGstack*, an integrated hardware and software stack designed to run the Broad Institute Genomic Analysis Toolkit (GATK) more quickly, at a larger scale, and with easier deployment.These three workload-optimized solutions take advantage of the newly released 2nd Generation Intel® Xeon® Scalable processors and deliver generation over generation higher performance, improved price/performance, and enhanced security capabilities. We anticipate a number of companies offering these updated solutions, including Advantech, Atipa, Fujitsu, Megware, Nor-Tech, and RSC.Additional capabilities will be available in an upcoming v2 releases of Intel Select Solutions for Simulation & Modeling, Simulation & Visualization (an upgrade of the Professional Visualization solution), and Genomics Analytics including enhancements to take advantage of Intel® Optane™ DC persistent memory, Intel® Deep Learning Boost (Intel® DL Boost), Intel® SSDs, Intel® Ethernet, software, accelerators.A New Era of ConvergenceThe new Intel® Select Solutions for HPC & AI Converged Clusters joins these three existing HPC solutions, expanding the scope of HPC workloads beyond simulation & modeling, to including both Analytics and AI workloads and integrated workflows. The new solutions leverage the low-latency, high-performance features of 2nd Generation Intel Xeon Scalable processors to offer new capabilities and performance while minimizing data movement, delivering breakthrough capabilities via a converged platform that supports all three workloads.AI is having a huge impact on data analytics throughout the HPC ecosystem, with neural networks often being used to accelerate discovery and innovation. Organizations are quickly realizing the opportunity to converge both AI and traditional modeling and simulation workloads on a common infrastructure. As AI joins traditional simulation & modeling workloads on HPC systems, there’s a need for higher performance compute, memory, storage, and networking capabilities, along with optimized software tools and libraries.Building on the simulation and modeling foundation and adding analytic workloads like Apache Spark* and AI workloads like TensorFlow*, the newly launched Intel Select Solutions support integrated workflows that previously had to run on specialized systems. With Intel Select Solutions for HPC & AI Converged Clusters, organizations can use AI to accelerate better scientific results or add analytics to perform in-situ visualization at scale, all on a common, flexible system that minimizes storage repetition and data movement and maximizes infrastructure flexibility and utilization.Intel is releasing two solution architectures for the new Intel Select Solutions for HPC & AI Converged Clusters, both of which focus on augmenting resource managers to support broader workloads. The first is based on the community project Magpie*, which automates the process of generating interfaces between analytics frameworks like Spark and AI frameworks like TensorFlow, so that they can run seamlessly without any modifications to a traditional HPC resource manager such as Slurm*.The second is a more integrated solution that builds on the work of Univa Grid Engine* and their Universal Resource Broker, an engine that sits alongside a traditional HPC batch scheduler and can interface into resource manager plugins created with an Apache Mesos* framework. Both solutions allow workload coexistence and workflow convergence across simulation & modeling, analytics, and AI. We will be evaluating and updating additional features and workloads for the new Intel Select Solution for HPC & AI Converged Clusters in the coming months, specifically examining the benefits of Intel Optane Memory for large data setsAccelerated BenefitsWhen analytics and AI workloads are brought into HPC infrastructure designed to support simulation and modeling, additional speed benefits cascade through the stack. For example, Apache Spark* and TensorFlow can run faster when connected to a HPC fabric. The new 2nd Generation Intel Xeon Scalable processors also deliver 4x faster images/second with inferencing solutions optimized using Intel DL Boost technology.1Advania Data Center is planning to offer the new Intel Select Solution for HPC & AI Converged Clusters later this year. Their customer Gimix wants to run mixed workloads in their HPC environment and is looking to this solution to meet their needs.Intel Select Solutions for HPC offer higher performance and enhanced capabilities in a single environment, eliminating the burden of data transfer between systems. A host of commercial applications in the Intel® HPC Application Catalog are verified and interoperable with all other Intel Select Solutions for HPC, ensuring even greater flexibility.A complete hardware and software recipe for advancing product innovation, Intel Select Solutions represent a proven set of configurations utilizing Intel architecture building blocks that the ecosystem can innovate on and take to market more quickly. For more information, and to see the full range of Intel Select Solutions, visit intel.com/selectsolutions. For more about Intel’s work in HPC, visit intel.com/hpc. For more information on how to accelerate your data insights and building your infrastructure, visit intel.com/yourdata.
View comments Robredo: True leaders perform well despite having ‘uninspiring’ boss PLAY LIST 02:49Robredo: True leaders perform well despite having ‘uninspiring’ boss02:42PH underwater hockey team aims to make waves in SEA Games01:44Philippines marks anniversary of massacre with calls for justice01:19Fire erupts in Barangay Tatalon in Quezon City01:07Trump talks impeachment while meeting NCAA athletes02:49World-class track facilities installed at NCC for SEA Games Arellano coach Obet Javier. Photo by Tristan Tamayo/INQUIRER.netArellano University head coach Obet Javier is bracing for a gauntlet of games to end the elimination round.The Lady Chiefs are gunning for their third title in four years and Javier knows achieving the feat won’t be easy.ADVERTISEMENT LATEST STORIES MOST READ Sonnen outlasts Rampage, advances in Bellator heavyweight tournament Don’t miss out on the latest news and information. Jordan delivers on promise: 2 Cobra choppers now in PH BeautyMNL open its first mall pop-up packed with freebies, discounts, and other exclusives SEA Games: PH still winless in netball after loss to Thais Ethel Booba on hotel’s clarification that ‘kikiam’ is ‘chicken sausage’: ‘Kung di pa pansinin, baka isipin nila ok lang’ Up ahead in the latter part of their schedule are four of the top five teams last season—San Sebastian, San Beda, College of St. Benilde, and University of Perpetual Help.“These are four tough teams so we know that we have to prepare well for them,” said Javier in Filipino Sunday at Filoil Flying V Centre.FEATURED STORIESSPORTSSEA Games: Biñan football stadium stands out in preparedness, completionSPORTSBoxers Pacquiao, Petecio torchbearers for SEA Games openingSPORTSPrivate companies step in to help SEA Games hostingIn what served as a tune-up match for Arellano before its tough stretch, the Lady Chiefs dominated the Lyceum Lady Pirates in three sets, 25-16, 25-17, 25-11, to extend their perfect run to 5-0.READ: Arellano blasts Lyceum for 5th straight win Hotel says PH coach apologized for ‘kikiam for breakfast’ claim But Javier added that for Arellano to sweep its remaining games, it has to play even better than how it performed against the Lyceum.“We’re still starting slow and that’s not a good sign for any team especially if you’re playing against these next ones,” said Javier. “We have to show them, or show ourselves at least, that we can immediately get it going.”Sports Related Videospowered by AdSparcRead Next ‘We cannot afford to fail’ as SEA Games host – Duterte PH military to look into China’s possible security threat to power grid ‘A complete lie:’ Drilon refutes ‘blabbermouth’ Salo’s claims