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Peter Porter, formerly an authorized client govt at IBM‘s (NYSE: IBM) public sector enterprise, joined Oracle (ORCL) as director of federal system earnings, G2Xchange and so forth stated Monday.
He has greater than 30 years of know-how revenue sustain and is liable for leading a crew of authorities that presents Oracle methods to federal civilian corporations.
Porter held a 29-yr profession at IBM, where he in the past managed the company’s enterprise progress efforts concentrated on the U.S. Postal service and income of the IBM Smarter Cities portfolio.
earlier in his corporate career, he worked in sales positions at Tektronix and Hewlett-Packard.
Andrea Garvey, former facts governance officer for the Maryland department of Human materials, has joined …
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a brand new manner by researchers at Princeton school, college of Chicago and IBM tremendously improves the reliability of quantum computer systems through harnessing statistics in regards to the noisiness of operations on actual hardware. In a paper presented this week, researchers narrate a novel compilation formulation that enhances the potential of aid-constrained and "noisy" quantum computers to bear helpful answers. certainly, the researchers validated a nearly thrice ordinary improvement in reliability for actual-device runs on IBM's 16-qubit quantum desktop, improving some software executions by as a superior deal as eighteen-fold.
The joint research community contains desktop scientists and physicists from the EPiQC (Enabling useful-scale Quantum Computation) collaboration, an NSF excursion in Computing that kicked off in 2018. EPiQC aims to bridge the pocket between speculative quantum applications and courses to purposeful quantum computing architectures on near-time epoch contraptions. EPiQC researchers partnered with quantum computing experts from IBM for this study, which will exist introduced at the twenty fourth ACM overseas convention on Architectural sheperd for Programming Languages and working programs (ASPLOS) convention in windfall, Rhode Island on April 17.
Adapting courses to qubit noise
Quantum computers are composed of qubits (quantum bits) which are endowed with particular residences from quantum mechanics. These special homes (superposition and entanglement) enable the quantum computer to signify a extremely large space of chances and comb through them for the commandeer answer, discovering options an poor lot quicker than classical computers.
however, the quantum computer systems of these days and the subsequent 5-10 years are restrained by strident operations, the space the quantum computing gate operations bear inaccuracies and error. while executing a software, these blunders accumulate and potentially result in incorrect solutions.
To offset these error, users elope quantum programs heaps of times and select essentially the most established reply because the rectify reply. The frequency of this reply is referred to as the success rate of the application. In an awesome quantum laptop, this success rate would exist 100%—each elope on the hardware would bear the identical answer. despite the fact, in apply, success charges are an poor lot less than 100% as a result of strident operations.
The researchers observed that on existent hardware, such because the sixteen-qubit IBM gadget, the mistake costs of quantum operations own very giant adaptations across the several hardware elements (qubits/gates) in the system. These mistake rates can too sweep from day to day. The researchers discovered that operation mistake fees can own up to 9 instances as much variation depending upon the time and site of the operation. When a application is elope on this laptop, the hardware qubits chosen for the elope examine the success expense.
"If they requisite to elope a software these days, and their compiler chooses a hardware gate (operation) which has terrible mistake price, the program's success fee dips dramatically," said researcher Prakash Murali, a graduate pupil at Princeton school. "in its place, if they collect with cognizance of this pandemonium and elope their courses the expend of the premiere qubits and operations in the hardware, they are able to enormously boost the success fee."
To deserve the most this thought of adapting application execution to hardware noise, the researchers developed a "noise-adaptive" compiler that makes expend of specified pandemonium characterization information for the goal hardware. Such pandemonium facts is automatically measured for IBM quantum programs as a section of each day operation calibration and comprises the mistake fees for each and every character of operation in a position on the hardware. Leveraging this data, the compiler maps software qubits to hardware qubits that own low mistake charges and schedules gates prerogative away to prick back possibilities of state molder from decoherence. additionally, it additionally minimizes the number of communication operations and performs them using reputable hardware operations.
improving the pleasant of runs on a existent quantum gadget
To point to the influence of this approach, the researchers compiled and completed a collection of benchmark classes on the 16-qubit IBM quantum computer, comparing the success rate of their new noise-adaptive compiler to executions from IBM's Qiskit compiler, the default compiler for this laptop. throughout benchmarks, they followed practically a three-times benchmark improvement in success cost, with up to eighteen instances advancements on some programs. In a yoke of instances, IBM's compiler produced wrong answers for the executions owing to its noise-unawareness, whereas the noise-adaptive compiler produced commandeer answers with excessive success costs.
despite the fact the team's methods were established on the sixteen-qubit machine, sum quantum programs within the next 5-10 years are expected to own strident operations on account of difficulties in performing genuine gates, defects led to by using lithographic manufacturing, temperature fluctuations, and different sources. Noise-adaptivity will exist censorious to harness the computational vigour of those programs and pave the artery towards enormous-scale quantum computation.
"when they elope colossal-scale programs, they covet the success quotes to exist excessive to exist capable of distinguish the commandeer reply from pandemonium and too to in the reduction of the number of repeated runs required to acquire the answer," emphasised Murali. "Our comparison clearly demonstrates that noise-adaptivity is essential for reaching the whole scholarship of quantum techniques."
The crew's complete paper, "Noise-Adaptive Compiler Mappings for strident Intermediate-Scale Quantum computer systems" is now posted on arXiv and may exist offered at the 24th ACM foreign convention on Architectural aid for Programming Languages and operating programs (ASPLOS) conference in windfall, Rhode Island on April 17.greater information: Prakash Murali et al. Noise-Adaptive Compiler Mappings for strident Intermediate-Scale Quantum computer systems, arXiv:1901.11054 [quant-ph] arxiv.org/abs/1901.11054
quotation: Researchers expend pandemonium statistics to extend reliability of quantum computers (2019, April 17) retrieved 17 April 2019 from https://phys.org/news/2019-04-noise-reliability-quantum.html
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This chapter covers the history of IBM's Information Management System (IMS) from its beginnings at NASA in 1969 to its current incarnation, and explains why IMS is quiet material to customers today.This chapter is from the book
This chapter presents IMS's past and discusses IMS as a strategic section of today's computing environment.
In This Chapter:
IMS has been an necessary section of world wide computing since its inception.
On May 25, 1961, United States President John F. Kennedy challenged American industry to route an American man to the moon and recur him safely to earth. The achievement was to exist accomplished before the cease of the decade, as section of the Apollo program. American Rockwell won the bid to build the spacecraft for the Apollo program and, in 1965, they established a partnership with IBM to fulfill the requirement for an automated system to manage large bills of material for the construction of the spacecraft.
In 1966, 12 members of the IBM team, along with 10 members from American Rockwell and 3 members from Caterpillar Tractor, began to design and develop the system that was called Information Control System and Data Language/Interface (ICS/DL/I). During the design and progress process, the IBM team was moved to Los Angeles and increased to 21 members. The IBM team completed and shipped the first release of ICS in 1967.
In April 1968, ICS was installed. The first "READY" message was displayed on an IBM 2740 typewriter terminal at the Rockwell Space Division at NASA in Downey, California, on August 14, 1968.
In 1969, ICS was renamed to Information Management System/360 (IMS/360) and became available to the IT world.
Since 1968, IMS:
The IMS database management system (DBMS) introduced the credit that application code should exist separate from the data. The point of separation was the Data Language/Interface (DL/I). IMS controls the access and recovery of the data. Application programs can quiet access and navigate through the data by using the DL/I benchmark callable interface.
This separation established a new paradigm for application programming. The application code could now focus on the manipulation of data without the complications and overhead associated with the access and recovery of data. This paradigm virtually eliminated the requisite for redundant copies of the data. Multiple applications could access and update a unique instance of data, thus providing current data for each application. Online access to data too became easier because the application code was separated from data control.IMS as a Transaction Manager
IBM developed an online component to ICS/DL/I to uphold data communication access to the databases. The DL/I callable interface was expanded to the online component of the product to enable data communication transparency to the application programs. A message queue role was created to maintain the integrity of data communication messages and to provide for scheduling of the application programs.
The online component to ICS/DL/I ultimately became the Data Communications (DC) role of IMS, which became the IMS Transaction Manager (IMS TM) in IMS Version 4.
It is the present-day darling of the tech world. The current renaissance of simulated Intelligence (AI) with its sister discipline Machine Learning (ML) has led every IT arduous worth its salt to engineer some figure of AI onto its platform, into its toolsets and throughout its software applications.
IBM CEO Ginni Rometty has already proclaimed that AI will change 100 percent of jobs over the next decade.
And yes, she does affect everybody's job from yours to mine and onward to the role of grain farmers in Egypt, pastry chefs in Paris and dog walkers in Oregon i.e. every job. They will now exist able to uphold direct sum workers’ actions and deportment with a new degree of intelligence that comes from predictive analytics, sum stemming from the AI engines they will now increasingly depend upon.
When did it sum depart so right?
But AI used to exist a fanciful notion mostly confined science fiction, so when did it sum depart right?
In recent years we’ve had some ample changes in technology. Aside from the proliferation of mobile devices that has impacted us all, memory has become a lot cheaper, data storage has become a lot easier (in cloud, and elsewhere) and computer processing speeds own continued to outstrip previous records. With the power of quantum computing around the corner, is the AI renaissance simply a result of the coming together of these ‘tech ingredient’ forces?
“It isn't just massive compute power. There are necessary algorithmic changes that own been developed. Plus, it is much easier to gain access to more data in an Internet-connected world,” said Ted Dunning, CTO at data platform, AI and analytics company MapR. “All three aspects (compute, algorithms, data) combine to deserve todays machine learning possible. too and quite frankly, a lot of applications only requisite data availability... they could own implemented them 25 years ago pretty easily if the data had been available and the output of the model could own been integrated back into the trade flow.”
So, in many ways, Dunning really heralds the modern era of the web as the key facilitator for the new age of AI. Information has become not just ubiquitous; it has too become easier to access and more accurately classified into structured, semi-structured and unstructured data in its rawest form.
Tuning AI towards life
Dunning and MapR point out that the new generation of AI & ML is now rediscovering ideas, some of which were first thought of some 50 years ago. The disagreement today is, each time sustain adding a bit of something new. A bit of computing power here, better data there, new ideas for organizing and optimizing a network and after a while they entrap to build new AI systems that really conclude useful work. So how should they continue to engineer these new systems?
"A key to success [in the new era of AI] is to focus on the design of the human-AI interactions as much as in the AI itself," said Jesus Mantas, general manager and managing confederate in IBM Global trade Services. “Many AI programs focus primarily on machine learning algorithms and training datasets, but fail to address the most necessary success factors: the design of human-machine relationships, new AI-powered workflows… and perfecting the choreography of processes, technology and humans. Those programs rarely scale or achieve benefits. The companies succeeding to scale AI and its benefits demonstrate that skilled, purposeful design of workflows and user interactions lead to faster adoption and trade benefits."
CEO of AI code analytics platform company Gamma is Vishal Rai. In general terms, Rai agrees that the AI renaissance has been driven by tectonic shifts in three areas in the computing world: computing power, swathes of data (and its accessibility)… but too by human ingenuity.
He points to new developments coming out of both Silicon Valley but further afield too (China being a prime example, Huawei builds its smartphone chipsets around its Kirin AI-enriched microprocessor) and says that this is sum helping to create future industries such as autonomous driving and health keeping diagnostics.
Real world application of AI applications
So in what ways are the new existent world applications of AI manifesting themselves and starting to repercussion the services they expend below the surface?
Cloud computing software intelligence and Application Performance Management (APM) specialist Dynatrace has now extended its AI-powered platform to include IBM Z mainframe uphold for CICS (a mainframe programming language), IMS (a mainframe database) and middleware. To do that in less technical terms, Dynatrace can exist used to monitor software that sits on mainframes to deserve positive it stays healthy.
Why bother? Because the mainframe was never built to exist hammered by devices with massively industrious data streams fancy mobile banking apps, games and other online niceties. This means they requisite AI to understand what repercussion the mainframe is having on the newer systems they build.
“While enterprises are affecting applications to modern cloud stacks for agility and competitive advantage, these applications often quiet depend on censorious transactions and ‘crown jewels’ customer data residing on IBM Z mainframes. This puts pressure on these resources to achieve tasks that were not envisioned when the mainframes were launched,” said Steve Tack, SVP of products at Dynatrace. “Because Dynatrace provides end-to-end hybrid visibility [through their Davis AI engine], customers can optimize new services, entrap performance degradations before user impact, and understand exactly who has been impacted by an incident. This enables customers to confidently innovate applications that leverage data from mainframes to extend revenue, build brand loyalty, and create competitive advantage.”
AI as a toil of art
Many would quarrel that the path to synchronous AI has been a long slog, but the systems they build now sustain finding clever shortcuts… so the momentum for the AI renaissance is actually building cumulatively.
Some quarrel that AI never went away and that the current popularization of AI and its ensuing discussion is just a natural progression of a technology that simply needed to gain through a epoch of adolescence. Either way, AI is in your smartphone and in your cloud computing services, so renaissance or not, let’s hope it continues to become a toil of art.Wikipedia
August 15, 2018 Alex Woodie
IBM unveiled a pair of out-of-bound technology refreshes (TRs) for the IBM i operating system last week. In addition to supporting the new Power Systems E980 server, IBM i 7.3 TR5 and 7.2 TR9 bring a set of enhancements to the platform’s database, progress tools, and the administrative interface.
The IBM i installed ground has grown accustomed to seeing operating system updates in the spring and the fall. This twice-a-year pattern has been with us, more or less, since IBM shifted to the TR approach several years ago. But IBM broke with that tradition last week when it announced that IBM i 7.3 TR5 and 7.2 TR9 will ship on September 14.
The two TRs bring largely the identical set of new features. However, customers IBM i who design to adopt Power9 hardware should exist making the scramble to IBM i 7.3 “fairly quickly,” according to Steve Will, the IBM i architect at IBM.
Here’s what the new TRs bring to various components of the IBM i operating system:Db2 for i
IBM is delivering various enhancements to the core database that ships with the operating system, starting with new ILE RPG controls that will bow “improved RPG programmer productivity” when using embedded SQL.
This release too brings “new and enhanced” built-in functions (BIFs) that will uphold developers shove more trade logic into SQL statements. IBM has too improved its code generation process for procedures, BIFs, and triggers, which will bow better performance when the objects are recompiled. Enhancements to the JTOpen JDBC driver should deserve it easier to build highly available applications, IBM says.
System, administrators will too entrap something out of the Db2 for i enhancements. Instead of typing IBM i commands, admins can expend a pair of SQL statements, including ACTIVE_JOB_INFO UDTF and JOB_DESCRIPTION_INFO, to entrap useful information from the database.
Database engineers are the ample beneficiaries of a succession of other enhancements, including a new SQL procedure — the eloquently named QSYS2.GENERATE_SQL_OBJECTS() – that “analyzes conditional objects to bear perfectly ordered generated SQL,” IBM says.
IBM will deliver the database enhancements through Db2 PTF Group SF99703. You can read more about the Db2 for i enhancements in IBM database guru Scott Forstie’s developerWorks article on the topic.IBM i Access Client Solutions
The ascendance of IBM i Access Client Solutions (ACS) as the primary user interface for multiple audiences on the platform is one of the ample IBM i stories of the past five years. With the new TRs, the ACS epic gets better.
One of the ample enhancements with ACS version 1.7 resides within the 5250 emulator, which is one component of the product. IBM says it will uphold Java Print Service (JPS) for the 5250 emulator, which will bring a sweep of print-related capabilities to ACS.
With this release, the 5250 emulator for ACS gains uphold for new features, such as: setting characters per inch (CPI) and lines per inch (LPI); specifying page size and font size scaling (i.e. double-width, double-height); uphold for SBCS and DBCS text; uphold for horizontal and plumb positioning; uphold for grid lines, barcodes, and fonts; the capability to set orientation (portrait and landscape); and scaling features (i.e. fit-to-page or not).
Database engineers are too beneficiaries of enhancements in ACS. IBM says it’s giving engineers a host of new features for managing database schemas in ACS, including the capability to toil with locked rows and the capability to lock holders. They too entrap the capability to cut, copy, and paste tables and indexes; to change schema text and schema properties; and to retract action to launch in Journal View Entries, the announcement note says.
IBM too mentioned in the announcement note that it will exist providing a new interface for managing open source software with ACS. As they previously told you, IBM is affecting away from the 5733-OPS product and instead is embracing Yum and RPMs for delivering open source to IBM i. As section of that transition, IBM is providing a GUI in ACS that lets users select which open source components to download and install to their IBM i, avoiding the confusing PTF process entirely.
The one caveat to the new ACS functions is that the software will now require Java 8.Open Source
On the open source front, the shift to Red Hat Package Manager (RPM) and Yellow Dog Updater Modified (Yum) brings significant changes to the artery that IBM i users will consume and expend open source software going forward. IBM shipped a tech preview of RPM and Yum on IBM i earlier this year. With IBM i 7.3 TR5 and 7.2 TR9, the technologies will become benchmark parts of the OS.
IBM is planning to ride RPM and Yum to shift its open source delivery into elevated gear. To that end, IBM i users now own access to the latest versions of favorite open source languages, including Node.js version 8 and Python version 3.6.
IBM is too updating its cryptographic libraries via RPM. IBM says that, by supporting OpenSSL 1.1.1, it “brings TLS 1.3 capabilities to any technology that uses OpenSSL.” TLS 1.3 is much-anticipated follow-on to TLS 1.2, which has identified security holes, and was finally released by the IETF just last week. IBM too is offering the nginx HTTP server via RPM, which is necessary because nginx was built to retract advantage of OpenSSL 1.11 and therefore TLS 1.3, IBM points out.
New commands are too coming to the platform through RPM. IBM says users can find a host of industry-standard GNU commands, including: less; grep; ls; awk; sed; find; patch; tar; iconv; and sort. (We’re positive these commands will find their artery into the IBM i vernacular in short order.)
Other open source packages riding the RPM wave onto the IBM i include GNU C Compiler and associated toolchain, which will let developers create apps that elope in PASE; LFTP a “sophisticated” file transfer program that can serve as a command-line FTP utility and can exist used to create mirror sites or achieve multiple tasks in parallel; and GNU nano, which delivers a basic file editor in a terminal session.
You can read the announcement note for IBM i 7.3 TR5 here, and the note for IBM i 7.2. TR9 here.RELATED STORIES
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mySQL [4 Certification Exam(s) ]
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Nortel [130 Certification Exam(s) ]
Novell [37 Certification Exam(s) ]
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PostgreSQL-CE [1 Certification Exam(s) ]
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Wonderlic [2 Certification Exam(s) ]
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