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1Z0-934 exam Dumps Source : Oracle Cloud Platform Application Integration 2018 Associate

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: 66 actual Questions

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Will Oracle and Accenture serve Secoo remain significant? | killexams.com actual Questions and Pass4sure dumps

chinese luxury e-tailer Secoo (NASDAQ:SECO) lately announced a "strategic partnership" with Oracle (NYSE:ORCL) to better its enterprise infrastructure. Secoo states that it'll disburse Oracle's cloud solutions in its ERP (business resource Planning) and HCM (Human Capital management) methods alongside Accenture's (NYSE:ACN) administration consulting service.

Secoo CEO Li Rixue claims that the company will launch a "new workplace automation device" with Oracle, and that platform will raise its "accounting techniques, built-in industry and economic programs." Secoo additionally claims that Oracle will implement "reducing-area applied sciences" into Secoo's platform, and that Oracle's cloud features will complement its different blockchain, machine getting to know, IoT (cyber web of things), and cell app efforts.

A shopper checks a handbag's  cost on a smartphone app.

graphic source: Getty photographs.

Secoo states that working with Oracle and Accenture will "empower" its "main position in the luxurious e-commerce trade" and "increase" its digital capabilities. Secoo's hyperbole-crammed press unencumber in the rise sounds fantastic, but it additionally appears dote it's simply becoming one among Oracle and Accenture's many enterprise customers -- instead of really fitting a "strategic" chinese language companion for these two tech giants.

So will using Oracle's cloud functions and Accenture's consulting features actually creep the needle for Secoo, which remains struggling to compete against better e-tailers dote Alibaba's Tmall and JD.com? Let's dig deeper into its company to find out.

figuring out Secoo's company

Secoo claims to subsist the greatest online market for luxurious items in Asia based on a controversial Frost & Sullivan examine, but that claim is challenging to prove -- neither Tmall nor JD experiences their luxury earnings one after the other.

Secoo is plenty smaller than either Tmall or JD in terms of its annual GMV (gross merchandise extent), and it isn't even blanketed in eMarketer's newest rankings of the suitable e-commerce structures in China. Jumei, which ranks tenth on that checklist, has a market share of just 0.1%, so Secoo's slice of the pie is probably going even smaller.

Secoo serves a tiny percentage of China's e-commerce consumers, but that sliver is starting to be. ultimate quarter its total number of lively valued clientele grew 92% yr over yr to 304,000. The enterprise's profits rose 60%, its GMV climbed fifty seven%, and its non-GAAP internet salary grew 23%. perquisite here's how those figures in comparison to its growth during the final yr:

 

q4 2017

Q1 2018

Q2 2018

Q3 2018

revenue

sixty one%

forty three%

fifty six%

60%

GMV

44%

43%

45%

fifty seven%

Non-GAAP internet profits

224%

47%

26%

23%

YOY increase, RMB phrases. source: Secoo quarterly stories.

Secoo's earnings and GMV boom appear to be suit, however its web income growth is clearly decelerating. 

expanding margins and automated systems

On the vibrant side, Secoo's obscene margin rose 20 foundation features annually to 17.2% closing quarter, and its operating margin increased one hundred thirty groundwork features to 4.5%.

A network of human connections on the cloud.

photo source: Getty photos.

it's where Secoo's deals with Oracle and Accenture near in. Secoo stated that or not it's using Oracle and Accenture's features to "automate" its operations, which could vastly in the reduction of its operating fees -- which jumped 47% remaining quarter over the prior-12 months period. cutting some staff would too reduce Secoo's inventory-based compensation (SBC) costs, which already fell 28% ultimate quarter.

Oracle's ERP platform helps companies transform giant amounts of enterprise suggestions into actionable facts, which helps organizations win rid of layers of redundant core administration. Its HCM platform can substitute tremendous numbers of HR personnel and aid companies promptly streamline their workforces by using slicing inefficient positions. Accenture's administration consulting carrier too helps organizations streamline and restructure their organizations.

Secoo practicable thinks that the disburse of Oracle and Accenture's services will buoy its operating margins and spur an acceleration of its internet profits boom again. it's a nice vote of self faith for both age tech giants, however Secoo's enterprise probably might not movement the needle for either company on its own.

A step within the preempt route

Secoo has a drift to inflate the maintain an repercussion on of its fresh functions or "strategic partnerships." In early 2018, it revealed that it changed into constructing a blockchain platform, which brought about its stock to in brief rally, but this failed to generate any actual salary increase. The enterprise has too introduced in the past a wide array of "strategic partnerships" with businesses dote LVMH's health subsidiary Will's neighborhood, mobile app maker Meitu, and even a aid-sharing select supervision of its rival JD.com, but the merits were everyone vaguely described.

therefore it subsist sensible to select Secoo's "strategic partnerships" with a grain of salt. nevertheless, the corporation's coincident deals with Oracle and Accenture may meaningfully in the reduction of its working expenses over the next few quarters -- which might serve the inventory at final bounce returned above its IPO price.

 

Leo solar owns shares of JD.com. The Motley fool owns shares of and recommends JD.com. The Motley fool owns shares of Oracle and has here options: lengthy January 2020 $30 calls on Oracle. The Motley idiot recommends Accenture. The Motley fool has a disclosure policy.


What's in the back of Oracle's Gen 2 Cloud: with Oracle VP Kyle York | killexams.com actual Questions and Pass4sure dumps

Jan 9, 2019

At Oracle OpenWorld, Oracle CTO Larry Ellison unveiled Cloud Computing – era 2 and establish a pointy ingredient on the protection features of the Oracle Gen 2 Cloud working the Oracle self sustaining Database. recently, Kyle York, VP of product fashion on Oracle Gen 2 Cloud, mirrored on Oracle’s priorities relocating forward, together with why the industry feels the Oracle self enough Database is probably the most vital development in database management in years and how the DBA role will evolve.

Why is Oracle calling the brand fresh technology “Gen 2”—what is different from different cloud technology?

Kyle YorkKyle York: As with most fresh issues, the primary rev isn't at everyone times built for the long-time period success. First era public cloud choices were no longer architected to accommodate mediocre software architectures. They were architected for web-new cloud native functions. believe websites, cellular apps, or ecommerce storefronts—by no means economic methods, govt workloads, or records-intensive applications. Many enterprise workloads without problems can not elope in hypervisor-primarily based environments, as they don’t provide the efficiency predictability and exorbitant availability commonly required with the aid of common industry applications. They too don’t play pleasant with the tooling and security infrastructure traditionally deployed on-premise, in a intricate ecosystem cultivated over decades.

All of this has ended in a smash up between typical and cloud IT, which in a DevOps world is converging quick. Analysts estimate handiest 15%-30% of enterprise workloads were efficiently migrated to the cloud. a fraction of it really is technical, a fraction of that's cultural, but that number will grow impulsively in the coming years and Oracle is poised to convey to purchasers with their next generation infrastructure.

Enabling complete commercial enterprise adoption of the cloud and fixing this complexity is precisely where Oracle Cloud Infrastructure is concentrated. We’ve purpose-constructed their cloud from the floor up to fulfill the necessities of huge companies and intricate workloads. Oracle Cloud Infrastructure is the best cloud that can exchange the on-premise facts center, enabling businesses of any measurement to elope even the most mission-essential, excessive-quantity, high-performance applications and databases, however with everyone of the remarkable advantages of public cloud.

How is Oracle’s structure interesting?

KY: Oracle offers the most flexibility within the public cloud, allowing corporations to elope common and cloud-native workloads on the equal platform. This makes it practicable for their customers to in the reduction of operational overhead and costs and enable connectivity and shared records between these workloads. 

We try this via providing the broadest variety of deployment alternatives from a lone dealer—bare metallic servers, digital machines, containers, serverless, on-premise methods (each typical on-premise methods and on-premise cloud by the disburse of Cloud at client)—and network connectivity options to enable hybrid cloud deployments and management.  

What else sets it apart?

KY: We’ve too invested heavily in each proprietary innovations in their stack, however too by means of utterly embracing open supply, interoperable specifications, and the OSS device unifying Cloud native Computing groundwork, everyone from day-one.

Oracle Cloud Infrastructure implements off-field community virtualization, which takes network and IO virtualization out of the software stack and puts it within the network. here's commonly called a flat network structure.

here's how Oracle Cloud Infrastructure combines the benefits of public cloud (on-demand, self-carrier, scalability) with those merits continually associated with on-premise environments (predictability, efficiency, control) perquisite into a lone offering. In other words, Oracle doesn't drive corporations to hand over the visibility and methods they maintain got on-premise when settling on to circulate or build workloads on Oracle Cloud Infrastructure. as a substitute Oracle presents the capability to prolong these practices into the cloud by means of featuring compute, networking, and storage options that are programmatically attainable and fully controllable, identical to on-premise systems.

How is that this new?

here is fresh to Oracle clients and the market since it’s a breadth of providing in no artery before delivered via a lone exploit aircraft and APIs, marrying premier-in-category hardware with the entire management principles of on-demand public cloud. The timing is perquisite and we’re taking fraction in to their strengths. if you happen to embrace flexibility of option for clients and convey an ambiance with tremendous price/efficiency merits, the future probability is uncapped, the enterprise CIO, CSO is grateful and the everyday developer feels empowered.

How are security threats diverse nowadays than in years past? 

KY: in the past, organizations ran everyone IT systems on premises and had tense control over give chains, deployment and technical operations. however things maintain modified. agencies are stirring IT operations to the cloud—a shared infrastructure—and security operations hub (SOC) groups are struggling to maintain up with the relentless deluge of cybersecurity threats. 

inside todays tightly-integrated know-how ecosystem the complexity and pace of latest cyber threats is unheard of. Malicious bots. Viruses. Ransomware. centered phishing.  BGP hijacks. disbursed denial of service (DDoS) assaults. records breaches. The listing goes on. The cloud transformation is compounding the already tall challenges associated with the types of random actors and assault vectors described above. And volatility isn’t at everyone times as a result unsafe actors. APIs can elope haywire, coders paunchy finger, issues break. They now should subsist much more vigilant.

How is Oracle Cloud Infrastructure coping with these fresh challenges?

KY: Oracle Cloud Infrastructure views safety from the core to area, which is why safety is a basic design precept within their cloud infrastructure as a provider platform. inside their infrastructure, we isolate compute and network resources, assisting subsist confident that no client can notice any other client’s records or site visitors.  Oracle Cloud Infrastructure isolates every consumer’s traffic in a completely inner most Layer 3 software-defined overlay community, wholly encapsulating site visitors as soon as it enters the fringe of their cloud, thereby assisting ensure that no consumer can notice every other consumer’s traffic.? 

moreover, Oracle Cloud Infrastructure makes it practicable for purchasers to configure naked steel servers that are absolutely committed to them and remoted from everyone other tenants—they share no processor or memory area with every other tenant. Oracle Cloud Infrastructure is additionally designed to permit customers to set up their workloads on compute and storage hosts on which no Oracle utility of any variety runs thereby providing an further degree of isolation from the cloud service company itself. 

At Oracle, we’ve worked with businesses for more than forty years. They subsist mindful the value of compliance and governance. here is why they present companies built-in governance through a mingle of id and access management, position-based mostly access controls, and granular allocation and auditing capabilities so that agencies don't appear to subsist pressured to compromise their governance practices when relocating to their cloud.  however one of the crucial safety threats i mentioned earlier than are happening on the edge of the network, into the core of cloud management, which is why they strengthened their safety portfolio at OpenWorld after they introduced a web software firewall, DDoS insurance plan, Cloud entry safety broker and a key management service.

What other industry challenges does Oracle Cloud Infrastructure handle?

KY: apart from safety, Oracle Cloud Infrastructure addresses perquisite here key company priorities as core pillars. First, Oracle Cloud supports everyone functions, historic and fresh alike, which minimizes the deserve to update or redecorate legacy utility enabling purchasers to promptly handicap from the cloud. 2d, Oracle’s cloud performs more desirable and extra predictably while costing less for mission-essential applications. Third, Oracle utterly enables the tools, purposes, guide, and partners that corporations depend on emigrate and role within the cloud. And, ultimately, Oracle embraces interoperable requisites and open source technology to build it effortless to creep workloads between the consumer environment, Oracle’s cloud, and other clouds, as well as improvement from open supply innovation.

How does Oracle Cloud Infrastructure exploit the continuing want for hybrid, on-premise and cloud deployments?

KY: As i mentioned prior, nearly everyone of enterprises maintain yet to stream key functions and information to the cloud. They with no anguish haven’t discovered a cloud they can maintain faith with an ecosystem of tooling to ease the transition. Their intention-developed cloud will assist these groups extra simply circulation the most problematic workloads—mission considerable databases and industry applications— to the cloud. And, they are able to back inspite of the space they are on this event and assist them continue to glean cost from present methods as well as fresh born-in-the-cloud methods.

Hybrid cloud is an attractive mannequin for many, many valued clientele and Oracle supports this built-in fashion to computing. To further enable hybrid deployments, Oracle offers relaxed, committed connectivity between their cloud and on-premise facts facilities via their FastConnect networking service. They present valued clientele a predictable, consistent port-velocity can charge, allowing limitless throughput gated simplest by using the port pace chosen by artery of the consumer. The competitors offers complex, regionally focused, tiered pricing fashions that may frequently result in unpredictable and lofty fees.

For those wishing to hook up with Oracle Cloud Infrastructure over the cyber web, they present VPN features, or of course that you can disburse the general public cyber web, the space Oracle’s web Intelligence tooling provides world leading capabilities and insights backed by artery of over a decade of web performance records across verge Gateway Protocol, area appellation device, actual-person Monitoring and greater.

ultimately, they entirely steer modern tooling dote Kubernetes, Terraform and Kafka and maintain a prosperous inheritance of aiding open supply, which handiest empowers the industry in this fresh cloud age. Their openness pillar and embody of open supply and the Cloud native Computing groundwork makes this everyone viable and transportable.

How is desktop discovering and artificial intelligence used during this fresh platform?

KY: They pride ourselves in being a frontrunner in self reliant Database. via weaving synthetic intelligence, computing device gaining lore of, and different slicing-aspect technologies into their cloud database portfolio and their cloud infrastructure platform, as neatly because the SaaS purposes that runs on these world-leading services, Oracle engineers are constructing a really self-driving database ambiance working on Oracle Cloud Infrastructure. here is very captivating to company shoppers cautious of coping with the complexity and subsist troubled of maintaining methods up to date, patched, and secured.

we are too focused on the useful disburse of AI, desktop studying, in its functions so shoppers can win industry cost from them straight away. believe about—nefarious actors and unhealthy bots getting blocked before they could ever accomplish damage to your applications or infrastructure. Oracle is integrating these rising technologies into its functions to maintain customers and their data protected. additionally, Oracle invests upwards of $6 billion a year in R&D to build, test, and deploy these technologies in a realistic means for industry consumers. That scale of funding is difficult to fit.

How would clients of Oracle’s database improvement from the disburse of Oracle Cloud Infrastructure?

KY: Oracle has the area's most run-of-the-mill database by means of far, specially for mission-critical purposes. They made it a precedence that the Oracle Database and everyone Oracle applications, in reality, elope most efficient on Oracle Cloud Infrastructure.

Anchoring their cloud platform around the industry-shaping independent Database portfolio, which contains self enough records Warehouse and self sustaining Transaction Processing applied sciences, gives Oracle a major talents compared to different clouds in this faultfinding phase. Oracle is constructing an entire stack—cloud-based mostly infrastructure, databases, apps—with safety and automation embedded during. We’re the simplest cloud company who can bring such an entire offering to their customers.

What does this denote for DBAs and their roles in companies?

KY: The Oracle autonomous Database is essentially the most faultfinding development in database administration in years. This next fraction in automation now not most efficient gets rid of labor prices nevertheless it additionally improves security by artery of casting off the potential for human mistake by artery of automatically tuning, patching, and updating the key database device.

This means the role of the DBA will evolve. as a substitute of spending the vast majority of their time on protection, they could now focal point on the artery to disburse the records to serve pressure sooner innovation. They too notice a apt and close-term operational intersect and boom random for the DBA and the DevOps practitioner to near back together and become one in this subsequent technology cloud period.




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1Z0-934 exam Dumps Source : Oracle Cloud Platform Application Integration 2018 Associate

Test Code : 1Z0-934
Test appellation : Oracle Cloud Platform Application Integration 2018 Associate
Vendor appellation : Oracle
: 66 actual Questions

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Oracle Student Cloud Delivers First Complete Student Lifecycle Platform | killexams.com actual questions and Pass4sure dumps

New cloud enhancements wrap fiscal planning, other services into one solution

DENVER, Oct. 30, 2018 /PRNewswire/ -- EDUCAUSE -- Built from the ground-up to subsist flexible, insightful, and singularly focused on delivering an exceptional student experience, Oracle announced the latest release of its Oracle Student Cloud suite of products, including Student Management, focused on back for traditional programs. Oracle is too announcing integration for Campus Solutions customers to Oracle Student fiscal Planning, a student-centric, cloud-based fiscal aid solution within Oracle Student Cloud. Oracle Student Cloud's rendezvous and advanced analytics capabilities together with faultfinding transactional processes free institutions to create and deliver bold fresh programs and transform existing ones to better align with the student's educational goals and achievements.

A modern student system drives student success across the entire educational journey. Yet many universities are hindered by legacy student-information-systems (SIS) that are unable, architecturally, to back non-traditional educational experiences, such as non-credit courses, competency-based programs, and self-paced study, alongside traditional degree programs. With Oracle Student Cloud, institutions can now manage both traditional and non-traditional programs on a lone platform, enabling apt student lifecycle management. In addition, programs can subsist offered and fiscal aid processed without the constraint of a lone academic calendar, further unlocking the flexibility and variety of programs available to students.

"Oracle is building Student Cloud not as a solely transactional 'student-information-system' but as a apt 'student system,'" said Joyce Kim, analyst, Ovum. "While this might appear dote semantics, such messaging ruptures traditional boundaries to back much of the student lifecycle, from recruiting everyone the artery to alumni relations."

"Central state University has always prioritized equipping graduates with the knowledge, skills and dispositions for advanced studies and careers through efficient and efficient institutional operations," said Tonjia Coverdale, Ph.D., vice president for Information Technology and CIO at Central state University. "Oracle Student Cloud will serve us present their students an expanded array of educational programs including immersive, online programs to foster academic success for their students while optimizing university operations."

"Today's student expects institutions to back a journey of lifelong learning, including traditional and degree programs and a diverse array of continuing education events," said Vivian Wong, group vice president of Higher Education development at Oracle. "With the latest release, Oracle Student Cloud takes a giant leap forward delivering an educational sustain focused on the student and one that promotes overall student success."

With student loan debt in the US reaching $1.5 trillion, universities are working to serve drive more liable student borrowing and back better course planning. Student fiscal Planning frees universities to disburse more time advising students on their fiscal aid choices and less time packaging their aid. Real-time synchronization with government systems and automated, student-centric processes maintain already made it practicable for Student fiscal Planning to process $2.9 billion in fiscal aid, representing 15 million automated packages to date.

Supporting a variety of academic models, Oracle Student fiscal Planning with advanced automated technologies enables:

  • Comprehensive fund management
  • Calculated and repackaged student fiscal aid based on pre-set triggers
  • Optimization of both private and public funding sources based on student financing requirements
  • Reduction of time and resources spent on supporting manual processes
  • Reduced complexity of annual audits and compliance risk
  • With pre-built Student fiscal Planning integration for Campus Solutions, universities can select handicap of these powerful capabilities more easily while simultaneously taking their first step to Oracle Student Cloud.

    Oracle's technology and solutions back more than 11,000 education and research institutions around the world in addition to a full suite of cloud-based applications including Student Cloud,  Enterprise Resource Planning (ERP), and Human Capital Management (HCM) as well as Infrastructure, Data and Platform as a Service.

    For more information on how the capabilities in Oracle Student Cloud, including Oracle Student fiscal Planning can profit higher education institutions, visit:

    Story continues


    Oracle to expand automation capabilities across developer cloud services | killexams.com actual questions and Pass4sure dumps

    Last Fall at Oracle OpenWorld, chairman Larry Ellison showed he was a man of the people by comparing the company’s fresh autonomous database service to auto-pilot on his private plane. Regardless, those autonomous capabilities were pretty advanced, providing customers with a self-provisioning, self-tuning and self-repairing database. Today, Oracle announced it was expanding that automation beyond the database to other parts of its developer cloud platform.

    The company started with that autonomous database, known by the exciting name, 18C, which dote Ellison’s airplane, practically runs itself. “We are extending the automation across everyone of their cloud platform services, making them self driving, self securing and self repairing and eliminating human requirements to exploit everyone of the [installation], protection and services,” Amit Zavery, executive vice president for the Oracle Cloud Platform told TechCrunch.

    The automation will subsist applied to a broad array of Oracle cloud services including applications development, data integration and security. The fresh services are designed to remove a significant amount of the complexity and reduce the time and cost associated with launching, running and maintaining cloud services. The goal is to leave it to the machine wherever possible.

    Developers quiet need to accomplish their jobs, but it drastically reduces much of the day-to-day operations and initial tasks, which should multiply the efficiency of the IT team, Zavery said. “The time to market, risk and cost near down. The mundane tasks Go out of your hands and you can disburse more time on the application you want to build,” he explained.

    This automation uses a lot of artificial intelligence and machine learning under the hood and should precipitate up the transition to the cloud for Oracle’s customers. What’s more, the intelligence layer means that technology should better over time as it learns the intricacies of each customer’s individual requirements.

    Ellison founded Oracle in the late 1970s in a very different computing world. Over the final several years, the company has been transitioning to a cloud model, but it was very late to the game and far behind companies dote Amazon, Microsoft, Google, IBM and even Alibaba. Zavery sees this flat of automation as a key differentiator between Oracle and its cloud competitors.

    The fresh autonomous services will subsist rolling out over the first half of this year, Zavery said.


    AI and ML latest: Huawei announces 'highest performance ARM-based CPU' aimed at AI workloads | killexams.com actual questions and Pass4sure dumps

    Our round-up of animated and significant AI and machine learning stories.

    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 big 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 precipitate 2.6GHz and 8-channel DDR4 memory.

    The enhanced performance is primarily due to optimised fork prediction algorithms and an increased number of OP units, along with an improved memory 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 build breakthroughs. They will travail with their customers and partners to build a fully connected, intelligent world," said William Xu, Huawei's chief strategy marketing officer.

    Huawei too announced three fresh servers in its TaiShan scope that will subsist powered by Kunpeng 920 processors. These are aimed at corporate data centres for tall data tasks requiring lofty concurrency and low power consumption.

    The Kunpeng 920 announcement follows heated on the heels of the AI-focused Ascend AI IP and chip sequence unveiled in October (see earlier in this blog).

    With its emphasis 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 disburse machine learning to diagnose dyslexia

    Robot AI reading

    A pair of researchers maintain 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 sequence of tests on 32 school children, 17 of whom had previously been diaganosed with dyslexia. The children performed a Lexical decision chore (LDT) in which they were asked to referee 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 identical 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 quiet achieved.

    However, the goal was not just to disburse ML for diagnosis.

    One theory of the antecedent 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 subsist for the subject.

    The greatest unlikeness 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 subsist considerable 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 artificial 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 bias and maximising inclusiveness, as well as ensuring that AI is robust in design and implementation so that it does not antecedent 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 subsist ensured.

    "Trustworthy AI has two components: (1) it should respect fundamental rights, applicable regulation, and core principles,ensuring 'ethical purpose'; and (2) it should subsist technically robust and reliable," the report notes in its conclusion.

    "However, even with the best of intentions, the disburse 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 subsist presented to the Commission.

    10/12/2018 Pharma giant Merck in deal to disburse AI for drug discovery

    The disburse 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 creep from the lab into production.

    In the latest move, pharmaceutical giant Merck is to licence an AI-based drug screening platform from Canadian biotechnology solid Cyclica as fraction 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 everyone proteins in the body, scientists can prioritise candidate molecules for drugs, understanding practicable side effects, and identify genetic variations which might impress the binding of the proposed drug to the target protein. Another disburse is investigating fresh 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 foretell in the lab, leading to lengthy R&D and ordeal procedures. But AI-based techniques can serve build a full 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 fresh technologies is central to how they will further their discovery programmes, and artificial intelligence applications dote Ligand Express will provide considerable insights to enhance how they believe about target identification to back phenotypic screening and off-target profiling in general," Rippman said.

    "Artificial intelligence has the power to build the previously unimaginable a reality - they are interested to harness these fresh possibilities to serve 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 fresh machine learning program that can crack the text-based captchas quiet 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 profound learning techniques and its makers claim a much higher success rate compared to other captcha bombard methods.

    It uses Generative Adversarial Network (GAN) to decode the captchas, creating synthetic captchas that are used to train the basis solver algorithm. This is then fine-tuned using a smaller set of actual captchas. This saves time and effort, with just 500 genuine captchas required to train the bombard programme.

    In tests on 33 captcha schemes, some used by the likes of Wikipedia, Google, eBay and Microsoft, the program was able to unravel a captcha within 0.05 seconds when elope on desktop graphics processing unit (GPU).

    It was too able to evade advanced security features and demostrated a lofty flat of accuracy.

    "It allows an adversary to launch an bombard on services, such as Denial of Service attacks or spending spam or phishing messages, to filch 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 lofty success rate of their approach for most of the text captcha schemes, websites should subsist abandoning captchas."

    14/11/2018 Facebook, Google and Twitter disburse 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 mark Zuckerberg was the illegal sale of drugs on Facebook and Instagram - presumably because he could disburse his favourite stock respond of throwing some more AI at the problem.

    The opioid head 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 too 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 build 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 maltreat and Mental Health Services Administration] National Helpline Information Page and other resources for free and confidential treatment and education," he said.

    "We've too begun to roll out proactive detection on Facebook and Instagram to select down more content that violates their policies before people may notice 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 disburse their expertise instead to investigate accounts, Pages, Groups and hashtags, as well as travail 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 serve are the parents or family members of opioid users, so they know that if they can push them toward organisations dote the Partnership for Drug-Free Kids, then we're getting them instant connections," Molinari said.

    The efforts so far are everyone about blocking content and nudging users towards getting serve rather than reporting transgressors to law enforcement.

    24/10/2018 Oracle acquires AI company-intelligence solid DataFox

    Oracle has acquired DataFox, a SaaS AI solid that crunches big 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 letter 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 compass even better decisions and industry 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 subsist 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 plan is to filch a march on cloud compeition from the likes of Salesforce.

    Terms of the acquisition maintain not been disclosed.

    19/10/2018 UK supermarkets to ordeal AI checkouts for age-verification

    Facial recognition technology is to subsist 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 subsist able to estimate the age of shoppers when they are buying restricted items dote cigarettes and alcohol. Read more on this Story here.

    19/10/2018 AI - where does the liability lie?

    Emma Stevens, Associate Solicitor – Dispute Resolution, Coffin Mew

    The arguments regarding liability in the event of mistake or incident are rise to expand. As developments continue, and the disburse of AI becomes more mainstream, there will increasingly subsist cases which muster in to question who has liability for the systems in use.

    So says Emma Stevens, associate solicitor - dispute resolution, at law solid 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 limpid that the legal system has a lot of ground to cover before it can effectively regulate such advances and the existing law will need to subsist translated to apply to situations where considering the role and repercussion of AI and robotics was not previously necessary.

    Businesses would subsist sensible to build themselves conscious of the technological advances in the sectors in which they operate, to ensure that their contracts are limpid regarding liability (both generally and for AI) and that they maintain 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 found that big organisations are taking the lead in their experiments with machine learning, with respondents in big organisations more likely to esteem their efforts as 'sophisticated' and to maintain 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 remains 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 big enterprises improving customer loyalty topped the list, mentioned by 59 per cent. big enterprises were too more likely to mention cutting costs as being a motivating force.

    Just 10 per cent of companies counted themselves as sophisticated in their disburse of AI and machine learning. The report notes that the sort of companies that pioneered tall data techniques a few years back too maintain a headstart when it comes to deploying machine learning models. They maintain the data, the infrastructure and the skills required to build proprietary internal platforms - or 'AI layers'  - on which to deploy. Examples comprehend 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 general immaturity of the sphere 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 solid Sinovation Ventures and former president of Google China, says that AI's influence will subsist hugely disruptive to everything from the geopolitical power equipoise to the job market and peoples′ individual feelings of self worth. While some of the changes will subsist for the better, many will not, he says, warning against the techno-utopianism common in Silicon Valley.

    The precipitate 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 fresh jobs. But they maintain 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 underhand and required a huge amount of capital investment. In AI, the algorithms are well known to many people, and it's not practicable to prohibit people to disburse 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 win build the running, ultimately exporting their innovations to others that might try to tedious 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, maintain the data, the infrastructure and a workforce that′s quite prepared to win 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 travail really difficult to build the application work. It's often very hard, dirty, grisly work. The data isn't handed to you on a silver platter."

    Much of the learning data for the ML algorithms comes from applications dote 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. minute information about a big 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 ability to squash any opposition to developments dote driverless trucks, are everyone in the country′s favour as it seeks to become the paramount coerce in AI.

    Whichever power bloc ultimately takes the lead, the actual challenge, says Lee, will subsist 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 fresh AI-focused announcements from Nvidia and Huawei

    Graphics processing solid Nvidia has announced an open-source GPU-acceleration platform called Rapids which is aimed squarely at data scientists who need to crunch big volumes of data. Nvidia claims that for machine learning-type disburse cases Rapids has proved to subsist 50 times faster than CPU-only systems.

    Unveiled yesterday in Munich, Rapids is a two-year-old collaboration between Nvidia engineers and Python contributors, building 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 Popular capabilities from multiple libraries and adding the power of GPU acceleration." the solid says in its blog.

    Meanwhile, Huawei has unveiled two AI-focused chips of its own. "As fraction of its full-stack AI portfolio, Huawei today unveiled the Ascend AI IP and chip series, the world's first AI IP and chip sequence that natively serves everyone scenarios, providing optimal TeraOPS per watt," proclaims the company's press release. "Their unified architecture too 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 too reported to subsist developing a fresh AI chip for release next year.

    10/10/2018 Apple buys machine learning solid Spektral

    Apple had kept its $30m acquisition of virtual reality (VR) solid Spektral final year a underhand until Danish newspaper Brsen got hold of the story, reports Apple Insider.

    Spektral, whose founders maintain now joined Apple, was a startup specialising in computer vision, using profound learning techniques and GPU hardware to better the real-time processing of images and video directly from the camera. Apple is known to subsist keen to win ahead in the sphere of augmented reality (AR), and Apple Insider speculates that this may subsist behind the acquisition. Apple recently changed the design of iPhone cameras to better back AR and VR it notes.

    10/10/2018 What's fresh in Spark and machine learning?

    Creating useful machine learning models is a tough job, but making models that are robust enough to back industry processes operationally is far tougher still. This is why the web giants build their own platforms to back 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 compass of mere mortals. ML stream is a framework for standardising and packaging workflows and models, while Project Hydrogen improves the integration of Popular profound learning frameworks such as Tensorflow and PyTorch with Apache Spark. Read the full Story here.

    09/10/2018 Autonomous agents are the next aspect of enterprise AI, claims Fetch.AI

    What if AI could select on intricate 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 practicable deal for themselves and optimising availability and cost overall. Read more here.



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