1Z0-964 exam Dumps Source : Oracle Project Portfolio Management Cloud 2017 Implementation Essentials
Test Code : 1Z0-964
Test denomination : Oracle Project Portfolio Management Cloud 2017 Implementation Essentials
Vendor denomination : Oracle
: 76 existent Questions
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REDWOOD SHORES, Calif., may besides 10, 2018 /PRNewswire/ -- Oracle construction and Engineering nowadays announced enhancements to Oracle's Primavera Unifier that allow users to function earned value management (EVM) to superior dissect the development and performance of tasks.
Earned price, a notable dimension of the execution of gigantic and tangled projects, provides an integrated view of development that encompasses cost, scope, and schedule, enabling deeper venture analysis and greater ingenious decision-making. The EVM methodology entails comparing the volume and cost of what become deliberate to live accomplished towards what toil has definitely been accomplished, and the route an abominable lot that toil has can charge. this kindhearted of evaluation allows stronger precision in forecasting the final can impregnate of the stint and no matter if it will live completed on, in the back of, or ahead of agenda.
With evolving executive specifications and securities legal guidelines expanding drive to undertake stringent impregnate and earned-value requirements, many groups nowadays recognize the exigency to involve finished can impregnate administration and earned-value evaluation capabilities into their undertaking portfolio administration systems.
the brand unique Primavera Unifier EVM capability allows users to leverage facts from Primavera P6 trade project Portfolio management to:
"Earned expense administration is an increasingly censorious stint start system that permits organizations to live aware key dimensions of venture progress and performance. The statistics that the unique EVM capability in Oracle's Primavera Unifier yields will allow mission start specialists to enrich results through more desirable visibility and smarter choice making," talked about Andy Verone, vice president of approach for Oracle pile and Engineering.
For extra information about these unique enhancements to Oracle's Primavera Unifier, register to attend a webinar on EVM and Oracle.
About Oracle pile and EngineeringOracle pile and Engineering helps agencies reimagine their agencies. With most beneficial-in-classification assignment management options, organizations can proactively manage initiatives, gain complete visibility, increase collaboration, and control alternate. Their cloud-primarily based solutions for world challenge planning and execution can aid enrich strategy execution, operations, and fiscal efficiency. For greater counsel, delight discuss with www.oracle.com/building-and-engineering.
About OracleThe Oracle Cloud presents complete SaaS software suites for ERP, HCM and CX, plus most efficient-in-category database Platform as a service (PaaS) and Infrastructure as a provider (IaaS) from data centers All the route through the Americas, Europe and Asia. For more information about Oracle (NYSE:ORCL), delight seek recommendation from us at oracle.com.
TrademarksOracle and Java are registered logos of Oracle and/or its affiliates. different names can live emblems of their respective house owners.
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Redwood Shores — valued clientele, industry consultants to share insights into improving stint beginning
today Oracle construction and Engineering will host its annual venture Portfolio management Day suffer in Johannesburg. project management group friends and thought leaders will collect at the exclusive suffer to share expertise and most advantageous practices to improve stint planning and delivery. The adventure will rob vicinity at summer time space in Hyde Park.
"The annual undertaking Portfolio management Day offers a dynamic discussion board for a vanish section of enterprise and public companies to arrive collectively and talk about the options and solutions they are applying to seriously change their agencies," observed Mike Sicilia, Senior vp and prevalent supervisor, Oracle pile and Engineering.
Moritz Botha, Director, eTendering at the countrywide Treasury of South Africa, will deliver a keynote tackle. additionally, Mike Sicilia will talk about Oracle development and Engineering's strategic imaginative and prescient to empower organizations to improve venture and software management effects in a session called constructing the realm of tomorrow.
The software will feature periods exploring the adventure theme of trade Modernization through Digital Transformation and should besides consist of perquisite here audio system:
Rubin Boer, Senior enterprise Analyst, PetroSA
Vaughn Harris, Director, BIM Institute
Daniel Birch, Senior consultant, PWC
Corli Janse Van Rensburg, common supervisor, Transnet community Capital
For extra counsel in regards to the experience, or to register to attend, delight consult with: Oracle's Annual venture Portfolio management Day
Oracle pile and Engineering helps corporations reimagine their agencies. With most appropriate-in-type stint administration options, businesses can proactively manage initiatives, profit finished visibility, increase collaboration, and exploit alternate. Their cloud-primarily based options for global mission planning and execution can aid enrich route execution, operations, and fiscal performance. For greater information, delight talk over with www.oracle.com/construction-and-engineering.
The Oracle Cloud presents comprehensive SaaS application suites for ERP, HCM and CX, plus most suitable-in-class database Platform as a service (PaaS) and Infrastructure as a provider (IaaS) from information centers All over the Americas, Europe and Asia. For extra information about Oracle (NYSE:ORCL), delight seek recommendation from us at oracle.com.
Oracle and Java are registered emblems of Oracle and/or its affiliates. different names may live logos of their respective house owners.
logo - https://mma.prnewswire.com/media/467598/Oracle_Logo.jpg
REDWOOD SHORES, CA--(Marketwired - Jul 28, 2014) - Oracle ( NYSE : ORCL )
information summary to ensure that task-centric groups with elevated procurement spend or great reliance on subcontracts to successfully carry the anticipated expense to their shoppers devoid of wasting confined elements, they should gain sure that assignment and procurement teams are intently aligned. To address this challenge, Oracle today announced Oracle undertaking Procurement, the newest addition to the Oracle E-business Suite challenge Portfolio management and Procurement functions. Oracle challenge Procurement helps challenge groups dispose of silos round challenge management and procurement via setting up and measuring strategic aims, therefore riding accountability for cost to the consumer, optimizing procurement planning and execution perquisite through the lifecycle of a mission. This unique software gives assignment groups and stakeholders the potential to share assistance on mission requirements and schedule, product necessities, funds and satisfactory standards to provide the crucial assistance to fulfill their company's ambitions and deliverables.
Optimizing venture Procurement Planning, determination Making and Execution
About Oracle Oracle engineers hardware and software to toil together within the cloud and to your statistics core. For extra tips about Oracle ( NYSE : ORCL ), discuss with www.oracle.com.
Trademark Oracle and Java are registered emblems of Oracle and/or its affiliates. different names could live logos of their respective homeowners.
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SAN FRANCISCO, Oct. 2, 2017 /PRNewswire/ -- Oracle OpenWorld - Oracle today announced major advancements to the Oracle Application development Platform, making it even more open, modern and easy to use. section of Oracle Cloud Platform, the unique offering provides an open, standards-based approach to enabling developers to build, deploy and manage modern applications using a wide variety of tools, programming languages, infrastructures and databases. Today's announcement includes unique products and features such as Oracle Container autochthonous Application development Platform, Oracle Data Hub Cloud Service, Blockchain Cloud Service, server-less capabilities, expanded polyglot support, and an bright chatbot platform.
New development Capabilities and Open Source Options
Enabling customers to avoid cloud lock-in, Oracle announced early adopter availability of the Oracle Container autochthonous Application development Platform to simplify building, deploying and operating container-based applications in the cloud. The platform includes Oracle Container Engine, a managed Kubernetes service to create and manage Kubernetes clusters for secure, elevated performance and elevated availability container deployment. It besides delivers Oracle Container Registry Service, a private container registry service for storing and sharing container images across multiple deployments, and Oracle Container Pipelines, a plenary container lifecycle management service based on the Wercker acquisition, for continuous integration and delivery of microservice applications. The free community edition of Wercker and early adopter access to the Oracle Container autochthonous Application development Platform are available at https://www.wercker.com/.
"As enterprises worldwide further foster on their journey to the cloud, they are increasingly worried of being locked-in by their cloud vendors. In tandem, existing cloud solutions consist mainly of un-integrated, discrete and proprietary components," said expense Cavage, vice president of software development at Oracle. "With the Oracle Container autochthonous Application development Platform, Oracle plans to provide a modern, cloud-neutral and community-driven container-native technology stack, with Kubernetes driving orchestration and management for running unique applications on Oracle's cloud or others."
The Oracle Container autochthonous Application development Platform is another step in delivering an open, modern and easy route for developers to build container-based applications. It besides lets developers race in virtuous hybrid cloud mode, using the very stack they race on-premises in any cloud.
Oracle is besides planning to bring serverless capabilities to its Oracle Application development Platform based on Fn, a serverless developer project that Oracle open-sourced today. Developers using Oracle Cloud Platform can now build and race applications by just writing code, without provisioning, scaling or managing servers, allowing them to focus on delivering value and unique services. Fn is open source-based and able to race across multiple clouds, further reducing risk of vendor lock-in.
Developers using Cloud Foundry can now build directly on the Cloud Foundry platform on Oracle Cloud. Oracle has released as generally available an Open Service Broker implementation that supports integration of Oracle Cloud Platform Services into Cloud Foundry workloads. Additionally, Oracle has open sourced the BOSH Cloud Provider Interface, which enables workloads from software relish Cloud Foundry to live deployed on Oracle Cloud Infrastructure, and is targeting universal availability for later this year.
Today's release of the Oracle Data Hub Cloud Service allows developers to initialize and race Cassandra clusters on-demand without having to manage backups, patching and scaling for Cassandra clusters. Oracle Data Hub is a foundation for other databases relish MongoDB, Postgres and more coming in the future.
New Innovations and Services
With today's announcement of the Oracle Blockchain Cloud Service, developers salvage a highly advanced, enterprise-grade distributed ledger cloud platform that empowers them to accelerate and create unique revenue streams, reduce cost as well as risk and securely extend on-premise ERP and SaaS applications to drive tamper-proof B2B transactions.
Oracle besides delivered an synthetic intelligence (AI)-powered chatbot platform, which simplifies enterprise development and deployment of AI-powered bots. section of Oracle Mobile Cloud, the bright chatbot platform enables enterprises to better engage with customers and employees across celebrated messaging platforms.
Complementing this, for developers seeking flexibility to build cloud autochthonous applications with vanish and Java Enterprise Edition, Oracle updated its Application Container Cloud Service to involve choice of two unique application runtimes – vanish and Java Enterprise Edition – adding to the existing Java criterion Edition, Node.js, PHP Ruby and Python programming runtimes.
Oracle is besides providing support for running Java EE applications in the cloud-native platform backed by Oracle Weblogic Server, the industry's #1 Java EE app server. Capabilities to race mission censorious Java EE applications are now enhanced with automated catastrophe recovery capabilities across compute regions and stretched clusters across availability domains.
"With the latest Oracle Cloud Platform enhancements, they continue to offer their customers unparalleled choice and raise the bar for them to drive unique innovations, embrace digital transformation and out-perform the competition," said Amit Zavery, senior vice president, product development, Oracle Cloud Platform. "These additions reflect Oracle's focus on delivering a cutting-edge application development suffer leveraging the latest and most game-changing technologies."
Today's announcements ensue recent tidings of Oracle's continued commitment to open-source standards including joining the Container autochthonous Computing Foundation, dedicating engineering resources to the Kubernetes project,open-sourcing several container utilities and making its flagship databases and developer tools available in the Docker Store marketplace.
About OracleThe Oracle Cloud offers complete SaaS application suites for ERP, HCM and CX, plus best-in-class database Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) from data centers throughout the Americas, Europe and Asia. For more information about Oracle (NYSE:ORCL), delight visit us at www.oracle.com.
About Oracle OpenWorld
Oracle OpenWorld, the industry's most notable trade and technology conference for the past 20 years, hosts tens of thousands of in-person attendees as well as millions online. Dedicated to helping businesses leverage Cloud for their innovation and growth, the conference delivers abysmal insight into industry trends and breakthroughs driven by technology. Designed for attendees who want to connect, learn, explore and live inspired, Oracle OpenWorld offers more than 2,500 educational sessions led by more than 2,000 customers and partners sharing their experiences, first hand. With hundreds of demos and hands-on labs, plus exhibitions from more than 400 partners and customers from around the world, Oracle OpenWorld has become a showcase for leading cloud technologies, from Cloud Applications to Cloud Platform and Infrastructure. For more information; to register; or to watch Oracle OpenWorld keynotes, sessions, and more, visit www.oracle.com/openworld. unite the Oracle OpenWorld discussion on Twitter.
Safe Harbor Disclaimer
The preceding is intended to contour their universal product direction. It is intended for information purposes only, and may not live incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not live relied upon in making purchasing decisions. The development, release, and timing of any features or functionality described for Oracle's products remains at the sole discretion of Oracle Corporation.
Statements in this article relating to Oracle's future plans, expectations, beliefs, and intentions are "forward-looking statements" and are theme to material risks and uncertainties. Such statements are based on Oracle's current expectations and assumptions, some of which are beyond Oracle's control. All information in this article is current as of October 2, 2017 and Oracle undertakes no duty to update any statement in light of unique information or future events.
TrademarksOracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may live trademarks of their respective owners.
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BENGALURU, India , June 4, 2018 /CNW/ - Infosys (INFY), a global leader in consulting, technology and next-generation services today announced that Gartner, Inc. has positioned Infosys as a Leader in its Magic Quadrant for Oracle Application Services, Worldwide ( Europe , Middle East and Africa , North America and Asia Pacific ).
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The Gartner Magic Quadrant assessed 19 leading Oracle application service providers with the plenary cycle of Oracle application services, from project-based implementation to multi-year application management services (AMS). Gartner's Magic Quadrant besides evaluated these service providers for their capacity to deliver to clients a comprehensive set of implementation and management services across Oracle's portfolio of products.
As an Oracle Cloud Elite partner, Infosys is besides helping its clients reimagine their trade through next-generation digital solutions, making them agile and connecting them with their value chain. The focus on innovation, industrialization and automation is driving newer levels of efficiencies across verticals.
Ravi Kumar , President and Deputy Chief Operating Officer, Infosys, said, "We believe, being recognized as a Leader in Gartner's Magic Quadrant for Oracle Application Services strengthens their capability as a leading digital transformation ally for their clients, helping them succeed in a digital economy. They occupy been closely associated with Oracle as their development and testing partner, and this recognition from Gartner is testimony to their efforts in becoming an industry leader."
Richard Walsh , Director fiscal Systems, MFS Investment Management, said, "Infosys did a distinguished job implementing their Oracle Profitability and Cost Management Project in Oracle Cloud. This helped us improve performance, vestige allocations and enable frequent and efficient profitability cycles. They congratulate Infosys in leading Gartner's Magic Quadrant for Oracle Application Services and recommend Infosys as an implementation partner."
Source: Gartner, Magic Quadrant for Oracle Application Services, Worldwide, Alan H Stanley et al, 28 February 2018
About Gartner's Magic Quadrant
Gartner does not endorse any vendor, product, or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not live construed as statements of fact. Gartner disclaims All warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Infosys is a global leader in next-generation digital services and consulting. They enable clients in 45 countries to navigate their digital transformation. With over three decades of suffer in managing the systems and workings of global enterprises, they expertly steer their clients through their digital journey. They achieve it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. They besides empower the trade with agile digital at scale to deliver unprecedented levels of performance and customer delight. Their always-on learning agenda drives their continuous improvement through pile and transferring digital skills, expertise, and ideas from their innovation ecosystem.
Visit http://www.infosys.com to contemplate how Infosys (INFY) can aid your enterprise navigate your next.
Certain statements in this press release concerning their future growth prospects are forward-looking statements regarding their future trade expectations intended to qualify for the 'safe harbor' under the Private Securities Litigation Reform Act of 1995, which involve a number of risks and uncertainties that could cause actual results to disagree materially from those in such forward-looking statements. The risks and uncertainties relating to these statements include, but are not limited to, risks and uncertainties regarding fluctuations in earnings, fluctuations in queer exchange rates, their capacity to manage growth, intense competition in IT services including those factors which may move their cost advantage, wage increases in India , their capacity to attract and retain highly skilled professionals, time and cost overruns on fixed-price, fixed-time frame contracts, client concentration, restrictions on immigration, industry segment concentration, their capacity to manage their international operations, reduced require for technology in their key focus areas, disruptions in telecommunication networks or system failures, their capacity to successfully complete and integrate potential acquisitions, liability for damages on their service contracts, the success of the companies in which Infosys has made strategic investments, withdrawal or expiration of governmental fiscal incentives, political instability and regional conflicts, legal restrictions on raising capital or acquiring companies outside India , and unauthorized utilize of their intellectual property and universal economic conditions affecting their industry. Additional risks that could move their future operating results are more fully described in their United States Securities and Exchange Commission filings including their Annual Report on figure 20-F for the fiscal year ended March 31, 2017 . These filings are available at http://www.sec.gov. Infosys may, from time to time, gain additional written and oral forward-looking statements, including statements contained in the company's filings with the Securities and Exchange Commission and their reports to shareholders. In addition, delight note that any forward-looking statements contained herein are based on assumptions that they believe to live reasonable as of the date of this press release. The company does not undertake to update any forward-looking statements that may live made from time to time by or on behalf of the company unless it is required by law.
View original content: http://www.newswire.ca/en/releases/archive/June2018/04/c2720.html
NewRelic, the cloud-based application analytics firm, has added machine learning to its armoury in the shape of SignifAI, an Israeli-US startup focused on event intelligence - or sorting signal from uproar in the fast-moving field of DevOps.
SignifAI, according to its white paper, is a 'SaaS-based correlation engine that leverages AI and machine learning to crash down the data silos institute in tangled enterprise IT environments.'
It integrates via APIs to around 60 commonly used monitoring and collaboration tools including Splunk, AppDynamics, Slack, AWS, Nagios - and NewRelic itself - and promises to aid developers identify the root cause of errors by sifting through events, logs, time-series data and infrastructure alerts, ranking and outputting the most probable causes to a user console or through the monitoring tool. Users can besides train the model to improve the accuracy of the correlations.
AIOps is a relatively unique addition to the blizzard of AI and DevOps-related phrases. It refers to the utilize of machine learning to analyse data collected from various IT operations tools and devices in order to spot and react to issues in existent time.
In the company's blog, NewRelic's chief product officer Jim Gochee comes down in favour of the term ‘applied intelligence' to recount the application of machine learning to the software development process.
"We decided to utilize the term 'Applied Intelligence' to recount their philosophy and approach to bringing synthetic intelligence (AI) / machine learning (ML) to their space. They chose 'Applied Intelligence' to remind ourselves to continuously reflect on the individual words and their meanings, with the goal of keeping us on track to deliver truly meaningful customer value with their AI efforts," he writes.
04/02/2019 Heathrow trials AI system for landing planes in despicable weather
In despicable weather, visibility from Heathrow's 87-metre tall control tower can live drastically reduced as low clouds obscure the views of the runways below.
When this happens, air traffic controllers exigency to depend on radar to ensure that a plane that has just landed has cleared the runway, and a margin of error must live built in for safety. This causes delays and backlogs and a 20 per cent loss of landing capacity, according to Airport World.
This is an belt where AI - together with ultra HD 4K cameras - can help, believes air traffic control service NATS. The organisation has begun a ordeal using 20 such cameras installed in the tower together with a machine learning system called Aimee which has been developed by Canadian vendor Searidge Technologies. A similar ordeal is underway at Singapore's Changi Airport.
Once trained, Aimee should live able to track the aircraft from the time they land until they are transparent of the runway, even when the cameras' images are difficult to interpret by the human eye. It will then alert the air traffic controller who will gain the final conclusion on whether to transparent the next arriving flight for landing. As such, Aimee is very much an aid to human conclusion making rather than being an autonomous control system.
The behaviour of 50,000 arriving aircraft will live studied over the next 12 months to contemplate how the system responds to real-world situations.
AI is likely to play an increasingly notable role in the management of air traffic in the future, including for Heathrow's planned third runway, said Heathrow's operations director, Kathryn Leahy.
"We'll live keeping a near eye on this trial, as the technology could occupy a major role as they prepare for the expanded airport. They will watch how AI and digital towers could live used to monitor All three of the expanded airport's runways in future," she said.
The results of the ordeal will live presented to live presented to the UK Civil Aviation Authority next March.
28/01/2019 Amazon open-sources its SageMaker Neo machine learning optimisation software
Amazon has open-sourced SageMaker Neo, its software for training machine learning models and optimising the route they race on different types of devices.
SageMaker Neo is designed to ensure that ML models race as efficiently as possible on a variety of machines and environments. Unlike the training stage, in which models are generally honed on high-powered machines, for the inference stage, where the model makes predictions based on unique data, it may live running on much lowlier devices.
The environment can occupy a tall result on the amount of time it takes for a model to infer a result and on the number of such calculations that can live race in parallel. On edge devices in the IoT - a lone board computer relish a Raspberry Pi for case - latency and limited concurrency can live ascetic impediments. ML models are far from device-agnostic.
Most devices can live optimised to hasten up the inference process, but this generally involves a just bit of manual tinkering and ordeal and error. The original SageMaker was a model training framework, but SageMaker Neo, introduced final November, combines that with an optimisation stage, taking the fully trained model and generating an executable that's specific to the target device - live that a GPU or a Pi.
"Amazon SageMaker Neo automatically optimises machine learning models to accomplish at up to twice the hasten with no loss in accuracy. You start with a machine learning model built using MXNet, TensorFlow, PyTorch, or XGBoost and trained using Amazon SageMaker. Then you elect your target hardware platform from Intel, Nvidia, or Arm. With a lone click, SageMaker Neo will then compile the trained model into an executable," the company says on its website, adding that the compiler uses neural networking techniques to analyse the target platform so that optimisations can live applied.
The Neo-AI project is available on Github under the Apache Software License, allowing developers to tailor the code to suit their own needs.
Other cloud firms, including Microsoft and Google, are besides working on applying AI to the ‘intelligent edge'.
07/01/2019 Huawei announces 'highest performance ARM-based CPU' aimed at AI workloads
Huawei has announced what it claims is the world's best performing ARM-based processor.
Unveiled on Sunday, the Kunpeng 920 is purpose-built for AI workloads that involve processing great volumes of data utilising distributed storage.
In SPECint benchmarking tests, the Kunpeng 920 scored more than 930, or almost 25 per cent higher than the industry benchmark, while using 30 per cent less power than competitors, Huawei claims.
The Huawei-designed processor is manufactured on a 7-nanometer process based on the ARM architecture. It has 64 cores with clock hasten 2.6GHz and 8-channel DDR4 memory.
The enhanced performance is primarily due to optimised arm prediction algorithms and an increased number of OP units, along with an improved reminiscence subsystem architecture, according to the firm.
"Today, with Kunpeng 920, they are entering an era of diversified computing embodied by multiple cores and heterogeneity. Huawei has invested patiently and intensively in computing innovation to continuously gain breakthroughs. They will toil with their customers and partners to build a fully connected, bright world," said William Xu, Huawei's chief strategy marketing officer.
Huawei besides announced three unique servers in its TaiShan range that will live powered by Kunpeng 920 processors. These are aimed at corporate data centres for tall data tasks requiring elevated concurrency and low power consumption.
The Kunpeng 920 announcement follows warm on the heels of the AI-focused Ascend AI IP and chip progression unveiled in October (see earlier in this blog).
With its stress on in-house design, Huawei is becoming less reliant on non-Chinese chipset suppliers such as Intel, Qualcomm, AMD and Nvidia.
The company has been enmeshed in controversy in recent months, with a number of countries banning its products in their networking infrastructure, claiming they are a security risk.
The company has near connections to the Chinese government whose ‘Made in China 2025' strategy targets ten advanced technology areas including AI, robotics, renewable energy and biotechnology. The US has claimed this strategy is a "real existential threat to US technological leadership".
02/01/2019 Researchers utilize machine learning to diagnose dyslexia
A pair of researchers occupy achieved promising results from a machine learning study of dyslexia among school children, diagnosing the condition successfully in 80 per cent of cases without any human intervention
Alex Frid and Larry Manevitz from the University of Haifa, Israel, ran a progression of tests on 32 school children, 17 of whom had previously been diaganosed with dyslexia. The children performed a Lexical conclusion stint (LDT) in which they were asked to arbitrator whether strings of letters appearing on a screen were meaningful or not.
During this task, the eye movements of subjects were monitored and at the very time electrical activity in different areas of the brain was recorded using electrodes placed on the scalp.
After a preprocessing stage, the researchers used the ReleifF to extract meaningful features from the results in an attempt to classify the results. Many valuable features were in fact discovered in areas of the signal traditionally considered as noise.
By training their ML algorithm using the 60 ‘best' features extracted from the results, the researchers were able to diagnose dyslexia with a 79 per cent success rate; using just the ten best features, a success rate of 70 per cent was silent achieved.
However, the goal was not just to utilize ML for diagnosis.
One theory of the cause of dyslexia, which affects an estimated ten per cent of the population, is that the different parts of the brain involved in decoding written texts operate asynchronously, so signals can arrive in the wrong order. The greater the asynchrony, the more difficult reading will live for the subject.
The greatest contrast between the dyslexic and other readers was observed in activity in the left hemisphere of the brain, particularly the left temporal node which has long been thought to live notable in the process of interpreting the written word.
The paper is published by arxiv.org
19/12/2018 EU expert group draws up draft AI ethics guidlines, seeks feedback
The European Commission's High-Level Expert Group on synthetic Intelligence (AI HLEG) has released draft ethics guidelines on trustworthy AI. The 37-page document covers proposals to ensure AI is always human-centric and deployed with "an ethical purpose ground in". It includes discussions around limiting warp and maximising inclusiveness, as well as ensuring that AI is robust in design and implementation so that it does not cause unintentional harm.
AI HLEG boils down the core requirements for trustworthy AI into ten broad areas: Accountability; Data governance; Design for all; Governance of AI autonomy (human oversight); Non-discrimination; Respect for (and enhancement of) human autonomy; Respect for privacy; Robustness; Safety; and Transparency.
It looks at each of these topics from technical and non-technical standpoints with a view to creating guidance on how each might live ensured.
"Trustworthy AI has two components: (1) it should respect fundamental rights, applicable regulation, and core principles,ensuring 'ethical purpose'; and (2) it should live technically robust and reliable," the report notes in its conclusion.
"However, even with the best of intentions, the utilize of AI can result in unintentional harm. Therefore ... AI HLEG has developed a framework to actually implement Trustworthy AI, offering concrete guidance on its achievement."
The group is seeking feedback on its draft proposals before 18 January. In March a final version will live presented to the Commission.
10/12/2018 Pharma giant Merck in deal to utilize AI for drug discovery
The utilize of AI in drug discovery - identifying promising molecules and testing their suitability using models rather than patients - has been a focus of the pharmaceutical industry for some time. Typically drugs require years (and a huge amount of money) to whisk from the lab into production.
In the latest move, pharmaceutical giant Merck is to licence an AI-based drug screening platform from Canadian biotechnology firm Cyclica as section of a year-long trial.
Cyclica's Ligand Express is a drug screening utensil which Cyclica says is a "cloud-based platform that screens small-molecule drugs against repositories of structurally-characterized proteins or ‘proteomes' to determine polypharmacological profiles."
By understanding how a small-molecule drug will interact with All proteins in the body, scientists can prioritise candidate molecules for drugs, understanding possible side effects, and identify genetic variations which might move the binding of the proposed drug to the target protein. Another utilize is investigating unique uses for existing drugs.
Small-molecule drugs typically target specific proteins associated with disease, but once in the body they may bind to other proteins too, and the side effects are difficult to prognosticate in the lab, leading to lengthy R&D and ordeal procedures. But AI-based techniques can aid build a plenary picture of the likely interactions of a particular molecule.
Friedrich Rippmann, Computational Chemistry & Biology director at Merck said the goal is to identify promising molecules and test them as quickly as possible.
"Assessing unique technologies is central to how they will foster their discovery programmes, and synthetic intelligence applications relish Ligand Express will provide notable insights to enhance how they reflect about target identification to support phenotypic screening and off-target profiling in general," Rippman said.
"Artificial intelligence has the power to gain the previously unimaginable a reality - they are enthusiastic to harness these unique possibilities to aid drive the discoveries that can transform the lives of people affected by difficult-to-treat diseases," added Belén Garijo, member of the executive board and CEO Healthcare at Merck.
07/12/2018 AI cracks text-based captchas
A team of computer scientists has developed a unique machine learning program that can crack the text-based captchas silent used by many websites to protect against bots in a fraction of a second.
The program was developed by scientists from Lancaster University in the UK, Northwest University in the US and Peking University in China. It uses abysmal learning techniques and its makers claim a much higher success rate compared to other captcha beset methods.
It uses Generative Adversarial Network (GAN) to decode the captchas, creating synthetic captchas that are used to train the foundation solver algorithm. This is then fine-tuned using a smaller set of existent captchas. This saves time and effort, with just 500 genuine captchas required to train the beset programme.
In tests on 33 captcha schemes, some used by the likes of Wikipedia, Google, eBay and Microsoft, the program was able to solve a captcha within 0.05 seconds when race on desktop graphics processing unit (GPU).
It was besides able to evade advanced security features and demostrated a elevated flush of accuracy.
"It allows an adversary to launch an beset on services, such as Denial of Service attacks or spending spam or phishing messages, to cop personal data or even forge user identities," said Guixin Ye, a researcher on the project, which was presented at the ACM Conference on Computer and Communications Security (CCS) 2018 in Toronto.
"Given the elevated success rate of their approach for most of the text captcha schemes, websites should live abandoning captchas."
14/11/2018 Facebook, Google and Twitter utilize AI to track illegal drug dealing
During his rather feeble 'grilling' by US Congress over Cambridge Analytica and other topics related to the influence of his sociable networks, one question that did elicit a (relatively) direct response from expense Zuckerberg was the illegal sale of drugs on Facebook and Instagram - presumably because he could utilize his favourite stock reply of throwing some more AI at the problem.
The opioid crossroad is a raw issue in the US: 72,000 people died from overdoses in 2017 alone.
Now Facebook has said it is actively using AI to track down dealers, coordinating its efforts with experts including forensic labs and local and national organisations. Google and Twitter are besides involved in the collaboration.
Facebook's vice president of US public policy Kevin Martin laid out the company's thinking in a blog post.
"We want to gain vital resources for treatment easier to find. When people search for information about opioids on Facebook and Instagram, they direct them to SAMSHA's [Substance mistreat and Mental Health Services Administration] National Helpline Information Page and other resources for free and confidential treatment and education," he said.
"We've besides begun to roll out proactive detection on Facebook and Instagram to rob down more content that violates their policies before people may contemplate or report it. Their technology is able to detect content that includes images of drugs and depicts the intent to sell with information such as price, phone numbers or usernames for other sociable media accounts.
"By catching more posts automatically, this technology allows their team to utilize their expertise instead to investigate accounts, Pages, Groups and hashtags, as well as toil with experts to spot the next trends."
Susan Molinari, vice president for public policy at Google, said that 50,000 searches about specific opioid drugs were made each day on the search engine.
"We know overwhelmingly the people who are searching for aid are the parents or family members of opioid users, so they know that if they can shove them toward organisations relish the Partnership for Drug-Free Kids, then we're getting them instant connections," Molinari said.
The efforts so far are All about blocking content and nudging users towards getting aid rather than reporting transgressors to law enforcement.
24/10/2018 Oracle acquires AI company-intelligence firm DataFox
Oracle has acquired DataFox, a SaaS AI firm that crunches great volumes of data on public and private businesses and feeds the results into an AI engine to create company-intelligence that customers can add to their CRM.
The San Francisco-based startup received initial funding from Google Ventures in 2014 and counts Bain Capital, NetApp and Goldman Sachs among its customers. Co-founder and CEO Bastiaan Janmaat was a growth equity analyst at Goldman Sachs before founding the firm, and the investment bank has a stake in DataFox.
In a missive to DataFox customers and partners, Steve Miranda, executive VP applications development at Oracle, said: "The combination of Oracle and DataFox will enhance Oracle Cloud Applications with an extensive set of AI-derived company-level data and signals, enabling customers to reach even better decisions and trade outcomes."
DataFox pulls information on millions of businesses from multiple sources including tidings articles, digital properties and 'unique signals' and analyses them to provide real-time information on when a company's fortunes might live about to change. Oracle says it plans to "enrich" its cloud applications such as ERP, CX, HCM and SCM with "AI-driven company-level data". Presumably the conception is to cop a march on cloud compeition from the likes of Salesforce.
Terms of the acquisition occupy not been disclosed.
19/10/2018 UK supermarkets to ordeal AI checkouts for age-verification
Facial recognition technology is to live trialled by UK supermarkets for age verification purposes, with a few as-yet-unidentified stores rolling out the scanning tech at self-service checkouts this year and more widely in 2019.
The rollout is being led by US vendor NCR, which makes self-service checkout machines for Tesco and Asda among others. The company will integrate an 'AI-powered camera' (whatever that may be) into the checkout machines, which will live able to evaluate the age of shoppers when they are buying restricted items relish cigarettes and alcohol. Read more on this tale here.
19/10/2018 AI - where does the liability lie?
The arguments regarding liability in the event of error or incident are nascence to expand. As developments continue, and the utilize of AI becomes more mainstream, there will increasingly live cases which summon in to question who has liability for the systems in use.
So says Emma Stevens, associate solicitor - dispute resolution, at law firm Coffin Mew in this article for Computing.
The majority of the existing legislation and case law in relation to liability and duty in cases of negligence significantly pre-dates the ongoing robotics revolution. It is transparent that the legal system has a lot of ground to cover before it can effectively regulate such advances and the existing law will exigency to live translated to apply to situations where considering the role and impact of AI and robotics was not previously necessary.
Businesses would live sensible to gain themselves aware of the technological advances in the sectors in which they operate, to ensure that their contracts are transparent regarding liability (both generally and for AI) and that they occupy adequate insurance in space for any systems used, where appropriate.
16/10/2018 It's tall companies that are making the running in machine learning, survey
A survey of data scientists, software engineers, architects and senior management has institute that great organisations are taking the lead in their experiments with machine learning, with respondents in great organisations more likely to deem their efforts as 'sophisticated' and to occupy their early successes rewarded by increasing budgets than those in smaller firms.
About half of the respondents were located in the US, a quarter in Asia with the residuum based elsewhere. The survey was conducted by Algorithmia, a US company offering a marketplace for machine-learning models.
Across the entire sample, the main drivers for deploying machine learning models were generating customer insights and intelligence and improving the customer experience. However, in great enterprises improving customer loyalty topped the list, mentioned by 59 per cent. great enterprises were besides more likely to mention cutting costs as being a motivating force.
Just 10 per cent of companies counted themselves as sophisticated in their utilize of AI and machine learning. The report notes that the sort of companies that pioneered tall data techniques a few years back besides occupy a headstart when it comes to deploying machine learning models. They occupy the data, the infrastructure and the skills required to build proprietary internal platforms - or 'AI layers' - on which to deploy. Examples involve Facebook's FB Learner, Netflix's Notebook Data Platform and Twitter's BigHead. It seems likely that this lead widen as investment follows success.
A statistic that demonstrates the universal immaturity of the field is the fact that 55 per cent of efforts are driven by IT compared with 37 per cent by the business.
12/10/2018 China will overtake the US in AI, predicts former president of Google China Kai-Fu Lee
Kai-Fu Lee, head of VC firm Sinovation Ventures and former president of Google China, says that AI's influence will live hugely disruptive to everything from the geopolitical power equilibrium to the job market and peoples′ individual feelings of self worth. While some of the changes will live for the better, many will not, he says, warning against the techno-utopianism common in Silicon Valley.
The hasten of the coming AI revolution makes parallels with the job creation that accompanied the proliferation of electrical power and the industrial revolution redundant, Lee argued.
"Those earlier technological revolutions took a century or longer," Lee explained, in a fascinating if discomfiting interview with IEEE Spectrum. "That gave people time to grow, and develop, and invent unique jobs. But they occupy basically one generation with AI, and that's a lot less time."
"We've opened Pandora's box," Lee went on, contrasting AI with other technological threats. "We did, as humans, control the proliferation of nuclear weapons, but that technology was furtive and required a huge amount of capital investment. In AI, the algorithms are well known to many people, and it's not possible to interdict people to utilize them. College students are using them to start companies."
Lee believes the fact that the algorithms are easily available means that the nations with the most computing power - and the most centralised command structures - will salvage gain the running, ultimately exporting their innovations to others that might try to slow the tide to cushion its impacts. China has tall advantages over current leader the USA, he said, as companies such as Tencent, which has near connections to the Chinese government, occupy the data, the infrastructure and a workforce that′s quite prepared to salvage stuck into the more humdrum parts of developing AI.
"Chinese entrepreneurs find areas where there's enough data and a commercially viable application of AI, and then they toil really difficult to gain the application work. It's often very hard, dirty, terrifying work. The data isn't handed to you on a silver platter."
Much of the learning data for the ML algorithms comes from applications relish Tencent′s all-encompassing WeChat app, which is "Facebook, Twitter, iMessage, Uber, Expedia, Evite, Instagram, Skype, PayPal, GrubHub, LimeBike, WebMD, Fandango, YouTube, Amazon and eBay" rolled into one. circumstantial information about a great balance of China′s huge population resides in one place. And size matters when you're training neural networks.
These factors, together with the Chinese government′s capacity to squash any opposition to developments relish driverless trucks, are All in the country′s favour as it seeks to become the preeminent force in AI.
Whichever power bloc ultimately takes the lead, the existent challenge, says Lee, will live how to manage societies characterised by increasing inequality and the loss of up to 50 per cent of current jobs, many with no obvious alternative role for those that hold them, over the coming decades.
11/10/2018 unique AI-focused announcements from Nvidia and Huawei
Graphics processing firm Nvidia has announced an open-source GPU-acceleration platform called Rapids which is aimed squarely at data scientists who exigency to crunch great volumes of data. Nvidia claims that for machine learning-type utilize cases Rapids has proved to live 50 times faster than CPU-only systems.
Unveiled yesterday in Munich, Rapids is a two-year-old collaboration between Nvidia engineers and Python contributors, pile on Apache Arrow, Pandas and Scikit-learn. It is released at rapids.ai under the Apache 2.0 open-source licence.
"Rapids connects the data science ecosystem by bringing together celebrated capabilities from multiple libraries and adding the power of GPU acceleration." the firm says in its blog.
Meanwhile, Huawei has unveiled two AI-focused chips of its own. "As section of its full-stack AI portfolio, Huawei today unveiled the Ascend AI IP and chip series, the world's first AI IP and chip progression that natively serves All scenarios, providing optimal TeraOPS per watt," proclaims the company's press release. "Their unified architecture besides makes it easy to deploy, migrate, and interconnect AI applications across different scenarios," it says.
Alibaba, the "Chinese Amazon" which is investing heavily in AI capailities is besides reported to live developing a unique AI chip for release next year.
10/10/2018 Apple buys machine learning firm Spektral
Apple had kept its $30m acquisition of virtual reality (VR) firm Spektral final year a furtive until Danish newspaper Brsen got hold of the story, reports Apple Insider.
Spektral, whose founders occupy now joined Apple, was a startup specialising in computer vision, using abysmal learning techniques and GPU hardware to improve the real-time processing of images and video directly from the camera. Apple is known to live keen to salvage ahead in the field of augmented reality (AR), and Apple Insider speculates that this may live behind the acquisition. Apple recently changed the design of iPhone cameras to better support AR and VR it notes.
10/10/2018 What's unique in Spark and machine learning?
Creating useful machine learning models is a tough job, but making models that are robust enough to support trade processes operationally is far tougher still. This is why the web giants build their own platforms to support their data scientists and then engineers. Matei Zaharia and Andy Konwinski of Databricks told Computing about two open source projects that are designed to bring such capabilities to within the reach of mere mortals. ML current is a framework for standardising and packaging workflows and models, while Project Hydrogen improves the integration of celebrated abysmal learning frameworks such as Tensorflow and PyTorch with Apache Spark. Read the plenary tale here.
09/10/2018 Autonomous agents are the next aspect of enterprise AI, claims Fetch.AI
What if AI could rob on tangled negotiation tasks without requiring human intervention? This is where they are going next, according to Cambridge-based startup Fetch.AI, which recently partnered with Clustermarket, a booking platform for loaning scientific equipment. Using the system, instruments are represented by autonomous agents which navigate a virtual landscape seeking the best possible deal for themselves and optimising availability and expense overall. Read more here.
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