Monthly Archives: September 2020

"Downright criminal": Report that "racist Trump stooge" tried to censor CDC reports rocks experts – Yahoo News

Posted on by

Michael Caputo

Michael Caputo Chip Somodevilla/Getty Images

Days after President Donald Trumpadmittedto knowingly downplaying the Covid-19 pandemic in his statements to the public, newreportinglate Friday revealed that Trump political aides have been reviewingand in some cases alteringweekly CDC reports about the deadly virus in an effort to bring them into closer alignment with the president's false narrative and claims.

PoliticoreportedFriday evening that the Health and Human Services Department's politically appointed communications aides, led by former Trump campaign official Michael Caputoa Republican strategist with no medical expertise"have attempted to add caveats to the CDC's findings, including an effort to retroactively change agency reports that they said wrongly inflated the risks of Covid-19 and should have made clear that Americans sickened by the virus may have been infected because of their own behavior."

The primary target of the Trump officials' interference, according toPolitico, has been the CDC'sMorbidity and Mortality Weekly Reports(MMWR), a crucial resource for experts, public officials, and members of the public seeking to track the spread of Covid-19. While CDC officials have pushed back on meddling from political appointees,Politicoreported that the agency has "increasingly agreed to allow the political officials to review the reports and, in a few cases, compromised on the wording."

According to one internal email obtained byPolitico, Caputo aide Paul Alexander accused the CDCan agency directed by Trump appointee Robert Redfieldof "writing hit pieces on the administration" and attempting to use its weekly reports to "hurt the president."

"CDC tried to report as if once kids get together, there will be spread and this will impact school re-opening," wrote Alexander, an assistant professor of health research at McMaster University in Toronto. "Very misleading by CDC and shame on them. Their aim is clear."

Story continues

Alexander demanded that Redfield allow the HHS aide to personally edit the CDC's reports, which are authored by career scientists.

"The reports must be read by someone outside of CDC like myself, and we cannot allow the reporting to go on as it has been, for it is outrageous. Its lunacy," Alexander, who has alsoattempted to alterthe public messaging of Dr. Anthony Fauci, wrote to Redfield. "Nothing to go out unless I read and agree with the findings how they CDC, wrote it and I tweak it to ensure it is fair and balanced and 'complete.'"

Yale epidemiologist Gregg Gonsalves called the emails "explosive" andsaidCaputo should resign immediately.

"This is just beyond the pale," Gonsalves tweeted. "Caputo, with acquiescence of Redfield, has started to twist the science to Donald Trump's advantage. It's sick and disgusting."

According to Politico, attempts by political appointees to alter the MMWR to their liking "began in earnest after a May report authored by senior CDC official Anne Schuchat, which reviewed the spread of Covid-19 in the United States and caused significant strife within the health department."

"HHS officials, including Secretary Alex Azar, believed that Schuchat was implying that the Trump administration moved too slowly to respond to the outbreak," Politico continued. "The HHS criticism was mystifying to CDC officials, who believed that Schuchat was merely recounting the state of affairs and not rendering judgment on the response."

In addition to trying to change the language of CDC scientists to make it fit with the president's rosy depiction of the pandemic, Caputo and his aides have also moved "to halt the release of some CDC reports, including delaying a report that addressed how doctors were prescribing hydroxychloroquine, the malaria drug favored by Trump as a coronavirus treatment despite scant evidence," Politico reported Friday.

"The report, which was held for about a month after Caputo's team raised questions about its authors' political leanings, was finally published last week," Politico noted. "It said that "the potential benefits of these drugs do not outweigh their risks."

Politico's new reporting represents just the latest evidence of the Trump administration's ongoing interference in the activities of public health agencies, an effort lawmakers and experts have denounced as a deliberate campaign to undermine trust in Covid-19 data and advance the president's political agenda.

"A Trump stooge with a history of racist statements and no medical background is doctoring CDC reports warning Americans on Covid because they make Trump look bad," Rep. Bill Pascrell Jr. (D-N.J.) tweeted late Friday, referring to Caputo.

Eric Feigl-Ding, an epidemiologist and senior fellow at the Federation of American Scientists, said the "Trump CDC is dead to me if they muzzle the MMWR."

"To kill the MMWR," Feigl-Ding added, "is akin to burning science."

See the original post:

"Downright criminal": Report that "racist Trump stooge" tried to censor CDC reports rocks experts - Yahoo News

Ted Cruz, Tom Cotton, and others are trying to censor a Netflix film they haven’t seen – Boing Boing

Posted on by

The Netflix blurb for Cuties describes the plot as:

Eleven-year-old Amy starts to rebel against her conservative family's traditions when she becomes fascinated with a free-spirited dance crew.

Directed by Mamouna Doucour, a French Senegalese woman (not unlike the film's young protagonist), the film won the Directing Award in the World Cinema Dramatic Competition at the Sundance Film Festival before getting picked up by Netflix a truly prestigious accomplishment! Ahead of its streaming release, Doucour told TIME that the movie, "tries to show that our children should have the time to be children, and we as adults should protect their innocence and keep them innocent as long as possible."

This intention was clear to people like Monica Castillo, who reviewed the film for RogerEbert.com, saying:

Doucour uses these uncomfortable images to provoke a serious conversation about the sexualization of girlsespecially regarding girls of color, the policing of a girl's sexuality, double standards, the effect of social media on kids, and how children learn these behaviors. To do this, the director shows what it looks like for young girls to emulate what they see in music videos and grown-up dance routines. A few times in the film, we see the confused or even disgusted faces of adults watching the younger generation gyrate and twerk, biting their lips or their nail in a suggestive way. It's likely that these girls don't fully understand what those gestures mean, but they see it in pop culture and they imitate it, like several other generations of girls before them. Doucour also explores some of the emotional tangles that come with wanting to fit in and to be taken seriously, as well as the repercussions that come with acting youthfully impulsive.

Sounds provocative, sure, and challenging but certainly topical and relevant. Sounds like Doucour deliberately tried to make a film that tackled a difficult subject, and may have even done so successfully.

But you wouldn't know it from the right-wing media machine, which picked up on the film's provocative artwork and immediately declaring it to be a dangerous work of snuff that promotes the exact agenda the director was deliberately rejecting which people who actually watched the film seemed to understand.

Ted Cruz, for instance, now wants to weaponize the apparatus of the State and send the DOJ after Netflix for producing and distributing "child pornography."

Ted Cruz certainly knows about porn, having previously tweeted about his porn-watching habits. He also certainly knows about the legal precedent for defining pornography as established by the Supreme Court in 1964the impossibly vague qualifications of "I know it when I see it."

Er go, if the Republicans who claim to believe in small government decide that a film in which there is no sexual intercourse between children is, indeed, "pornography," they can make a legal argument in defense of that.

Here's Josh Hawley, ostensibly concerned about the very same topic as the film's director:

Tom Cotton, who just a few months ago spoke out in favor of a heavily armed military invasion of Democrat-leaning American cities, similarly told conservative rag The Daily Caller: "I urge the Department of Justice to take action against Netflix for their role in pushing explicit depictions of children into American homes."

Critic Emily Nussbaum summed up this non-troversy well:

The summer of "Cancel Culture" and boy-who-cried-wolf claims of "liberal censorship" has finally come full circle. And I, for one, am relieved that Republicans are once again nakedly revealing themselves as the censorious authoritarians they have always been.

'This Film Is Sounding an Alarm.' What Cuties Director Mamouna Doucour Wants Critics to Know About Her New Film [Suyin Haynes / Time]

Why 'Cancel Netflix' is trending [Julia Alexander / The Verge]

"Cuties" Review [Monica Castillo / RogerEbert.com]

As we mentioned yesterday, China has banned media coverage of Disney's new live-action remake of Mulan. The most expensive movie ever directed by a woman (Niki Caro), with a cast full of famous Chinese and Chinese-American actors should have been a huge win for, well, everyone, right? So what the hell happened? After some stumbles []

The Chinese government has ordered major media outlets in China to not cover the release of Walt Disney's "Mulan." Authorities ordered the ban as controversy broke out over the film's links with China's Xinjiang region, where China is committing mass human rights abuses against the Uighur minority population and others, Reuters reports today. This is []

The government of Pakistan, an Islamic nation in which extramarital affairs and gay sex are illegal, has blocked five popular apps in its quest to purify the internet of the second largest Muslim-majority country. Reuters reports that the Pakistan Telecommunications Authority today sent notices to the management of five apps, Tinder, Grindr, Tagged, Skout and []

For all of their elegance, style and universe busting utility, Apple products can still be a monumental pain sometimes. Just try transferring files. Or sharing large files with non-Apple users. The process often requires iTunes, a lot of hoop-jumping and a decent percentage of curse words as you try to click and drag a simple []

During daylight hours, lightwaves in the blue spectrum are actually very beneficial. They help make you more alert, improve your reaction times and generally elevate your mood. But as with almost anything, positives and negatives are situational. So when your eyes are flooded with blue light at nightwell, let's just say it isn't nearly as []

The typical MacBook Pro or MacBook Air these days has either two or four external ports. Other laptops may include one or two more, but in this age of interactivity, users routinely find they need more hookups than their laptops can handle. Between external drives, mice, phones, tablets and everything else that requires a USB []

Continue reading here:

Ted Cruz, Tom Cotton, and others are trying to censor a Netflix film they haven't seen - Boing Boing

Why Percona wants your database to be open source, and not everyone is happy about it – TechRepublic

Posted on by

Commentary: Percona runs open source databases as managed services, which makes the company popular with customers but less so with competitors.

Image: iStock/sdecoret

Percona, a company that offers open source databases as managed services, has an ambitious goal: "... anyone, anywhere, should have free access to the software and tools necessary to turn their ideas into a viable business." The only problem with this high-minded sentiment? The software to which Percona wants to provide "free access" is owned and/or primarily developed by others, who may not like sharing revenue with Percona.

Indeed, as Percona co-founder and CEO Peter Zaitsev put it in an interview, "We're in an interesting situation, because for MySQL [Oracle] and MongoDB, we are working to increase the adoption of technology by promoting the technology. But at the same time, we often can be seen as a competitor by the company." In such a world of open source but (relatively) closed governance of the code, does open source even matter?

Absolutely, said Zaitsev. Let's look at why.

SEE:Special report: Prepare for serverless computing (free PDF)(TechRepublic)

Long before Oracle acquired its way into ownership of MySQL, very few outside the MySQL AB engineering team contributed to the core of the project, said Zaitsev, who once worked at MySQL AB. Instead the focus has always been about "driving the product roadmap based on our customer needs," he said. The MySQL engineering team under Oracle's guidance has continued this practice. Yes, there are some small changes accepted here and there by outsiders, including from Percona (which is filled with MySQL experts), but MySQL's open source license doesn't change its closed project governance.

Historically, this hasn't really mattered, because few are technically competent to contribute, said Zaitsev. "You really need to be a damn good C developer to contribute things into the core. [Of all those who use a database like MySQL,] I would say 90% of them probably don't even know C." As such, most MySQL users were not in a position to become contributors.

But this doesn't mean the open source license doesn't matter. Even if Percona is barred from making larger MySQL contributions upstream, access to the source code enables it to understand and support the code:

Some of our customers say, 'Percona offers amazing support. Why don't you support Oracle or Microsoft SQL Server?' In this case, we don't have access to the source code, so we won't ever be able to understand the software as well as the teams inside Oracle [and Microsoft], or provide fixes to our customers. We will be forever second class, if we choose to do that. In open source software, Percona engineers have the same access to the source code as MongoDB or [MySQL] engineers. Assuming we have equally good engineers, frankly, we can provide equally good services.

Except, according to Zaitsev, the MySQL engineering team has taken to "helicopter open source." What does this mean? "They do not really provide all the details of all the patches in the source code, but periodically just dump whole new versions to GitHub." Why go this route? Because, said Zaitsev, this makes it "harder for people who fork MySQL to cherry-pick fixes, like security fixes, and apply them."

SEE: How to build a successful developer career (free PDF) (TechRepublic)

This approach makes sense from an anti-competitor stance, but it's not good for community or customers. Or, for that matter, for the company engaging in the practice. By taking the "helicopter" route, for example, the MySQL team blocks itself off from community insight into better approaches to security, for example. "Getting that feedback before you actually release your software is valuable, because you get better quality," said Zaitsev.

What if you could get that same database (or other software) for free? Proprietary but 100% free? Wouldn't this be just as good as open source, I asked?

No, Zaitsev replied, for a few reasons.

First, developers might not want to be locked into infrastructure that they can't easily change--something that might be of particular concern for developers outside the US, especially in our current geopolitical climate. Zaitsev, who originally comes from Russia, told about how "in Russia in the 1990s, I could buy Oracle or Microsoft SQL Server for half a dollar." Sounds great, right? Well. "The relations between the United States and Russia went south, and some of the companies could not, because of sanctions, get their Oracle updated. They couldn't get the new updates and security fixes."

Even if you don't take geopolitical issues into account, Zaitsev declared, "If you look at especially long-term perspectives, there is a lot of one-sided control" with a proprietary license, even one that initially comes at zero cost.

Percona tries to remove that "one-sided control" by religiously adhering to an open source project's upstream. "If your application runs on MySQL and doesn't run on Percona Server, that is a bug, no questions asked," Zaitsev concluded. Where the Percona code base diverges (perhaps adding technology missing from the open source build of MySQL or MongoDB, for example), Percona open sources all of its code, putting customers in control.

Those customers, in turn, are moving to open source databases. With very few exceptions, all of the most popular databases over the last 10 years have been open source. While enterprises will be reluctant to go through the bother (and license fee fight) of swapping out a proprietary database, new applications are almost always going open source. For these, Percona hopes its 100% open source approach will be a winning strategy. So far, so good.

Disclosure: I work for AWS, but the views herein are mine and don't reflect those of my employer.

You don't want to miss our tips, tutorials, and commentary on the Linux OS and open source applications. Delivered Tuesdays

Read more here:
Why Percona wants your database to be open source, and not everyone is happy about it - TechRepublic

TANSTAAFL! The tragedy of the commons meets open source software – Security Boulevard

Posted on by

Open source projects can become victims of their own success. What can developers do to secure their open source software?

(This article was published in slightly different form for Black Hat 2020.)

One of the reasons behind the popularity of open source is the volunteer communities improving and updating code. Its what software developer and author Eric Raymond called Linuss Law in action: with many eyes looking at code, all bugs become shallow.

A Purdue University study showed that Linuss Law does work. Open source communities regularly issue patches faster than their proprietary software counterparts. But Linuss Law only works when there are enough eyes on the code. And theres no guarantee that the community behind any given open source project will continue maintaining the code. Of the 1,200+ codebases examined for the 2020 Open Source Security and Risk Analysis (OSSRA) report, 88% contained open source components that had had no development activity in the last two years.

OpenSSL, an open source encryption protocol, secures a substantial portion of the web: as much as two-thirds of all active websites, plus hundreds of thousands of email servers, chat servers, and VPNs, as well as the network infrastructure of various military, government, and financial institutions.

In 2011, a programming bug that could allow an attacker to intercept information secured by OpenSSL was introduced into the code, where it remained undiscovered for almost three years before being reported by a Google developer. Within 24 hours of its disclosure, the vulnerability, dubbed Heartbleed, was used to break into a major corporation and steal taxpayer data from the Canada Revenue Agency, according to a report in The New York Times. Although a patch was quickly issued, Heartbleed still lives on in hundreds of thousands of devices, with Shodanan Internet of Things search enginereporting over 91,000 instances of the vulnerability as of late 2019.

Steve Marquess, the former CEO of the OpenSSL Foundation, noted in ablog postthat the coding error leading to Heartbleed was partially attributable to developer burnout. In 2011 there was only one overworked, full-time developer on the OpenSSL project. There should be at least a half dozen full-time OpenSSL team members, not just one, Marquess wrote. And that developer should be able to concentrate on the care and feeding of OpenSSL without having to hustle commercial work. Things have improved somewhat in 2020. There are now 18 contributors listed on the OpenSSL site and their work is funded through at least 2021, thanks to a grant from the Linux Foundation Core Infrastructure Initiative, a project dedicated to distributing resources to open source projects that are critical to the security of the internet. But the Heartbleed bug is what happens when people ignore the TANSTAAFL price.

In the early 19th century, free lunches were a popular saloon promotion. Patrons still had to buy a beer or other drink in order to wash down whatever food the barkeep offered, and that was the catch. Profits on whiskey and beer sales more than compensated the saloon for putting out the free lunch spread, which often was little more than soup, crackers, and problematic pickled eggs. Coined by science fiction author Robert Heinlein, TANSTAAFL (There aint no such thing as a free lunch) reminds us that things always have to be paid for, whether the price is evident or not.

With popular open source code, the TANSTAAFL price has been the increased pressure on its maintainersthe people who handle bug reports, feature requests, code reviews, and code commits for their free software. Increasingly, as open source use grows in popularity, the TANSTAFFL price has been developer burnout and their open source projects being abandoned.

Its the tragedy of the commons in actiona resource growing so much in popularity that it cant remain viable unless the community shifts to sustenance rather than exploitation. Witness the Twitter thread started by James M. South, creator of several popular open source solutions, who bemoaned the fact that, #ImageSharp passed 6 million downloads this weekend and Im a lot less happy about it than I probably should be.

Why? South goes on in several follow-up tweets, Over 5 years of development there have only been 98 collaborators, 23 of which have made more than 10 commits. its not about money, it never was and never will be, its about sustainability.

Several other developers chimed in with their experiences: a similar story for #FluentValidation. Over 41 million downloads 140 contributors, but only 1 has made more than 10 commits. Same with ReportGenerator 15 million downloads but not a single sponsor.

Too few peopleand their organizationswho rely on open source software are contributing to the projects whose open source they use. If youre a developer and have a favorite open source component, you can contribute to its development through development, sharing your modifications, bug reporting, crowd-funding, letting the developers know how you are using it, and helping others get started. That last may be the most important thing you can do for any open source projecthelping build a user community large enough to sustain the project.

While development support is important, its not necessarily just about the code. Whether youre a writer, translator, designer, or information security or legal specialist, the chances are good that you too can help support the community in some fashion.

Download the 2020 Open Source Security and Risk Analysis (OSSRA) Report

See original here:
TANSTAAFL! The tragedy of the commons meets open source software - Security Boulevard

What is OSINT? 8 top open source intelligence tools – CSO Online

Posted on by

OSINT definition

OSINT, or open source intelligence, is the practice of collecting information from published or otherwise publicly available sources. OSINT operations, whether practiced by IT security pros, malicious hackers, or state-sanctioned intelligence operatives, use advanced techniques to search through the vast haystack of visible data to find the needles they're looking for to achieve their goalsand learn information that many don't realize is public. Open source in this context doesn't refer to the open source software movement, although many OSINT tools are open source; instead, it describes the public nature of the data being analyzed.

OSINT is in many ways the mirror image of operational security, or OPSEC, which is the security process by which organizations protect public data about themselves that could, if properly analyzed, reveal damaging truths. IT security departments are increasingly tasked with performing OSINT operations on their own organizations in order to shore up operational security.

During the 1980s, the military and intelligence services began to shift some of their information-gathering activities away from covert activities like trying to read an adversarys mail or tapping their phones to discover hidden secrets. Instead, effort was put into looking for useful intelligence that was freely available or even officially published.

Read the original post:
What is OSINT? 8 top open source intelligence tools - CSO Online

Global Open Source Software Industry 2020 Market Research With Size, Growth, Manufacturers, Segments And 2026 Forecasts Research – The Daily Chronicle

Posted on by

Open Source Software Market Forecast 2020-2026

The Global Open Source Software Market research report provides and in-depth analysis on industry- and economy-wide database for business management that could potentially offer development and profitability for players in this market. This is a latest report, covering the current COVID-19 impact on the market. The pandemic of Coronavirus (COVID-19) has affected every aspect of life globally. This has brought along several changes in market conditions. The rapidly changing market scenario and initial and future assessment of the impact is covered in the report. It offers critical information pertaining to the current and future growth of the market. It focuses on technologies, volume, and materials in, and in-depth analysis of the market. The study has a section dedicated for profiling key companies in the market along with the market shares they hold.

The report consists of trends that are anticipated to impact the growth of the Open Source Software Market during the forecast period between 2020 and 2026. Evaluation of these trends is included in the report, along with their product innovations.

Get a PDF Copy of the Sample Report for free @ https://dataintelo.com/request-sample/?reportId=92455

The Report Covers the Following Companies:IntelEpsonIBMTranscendOracleAcquiaOpenTextAlfrescoAstaroRethinkDBCanonicalClearCenterCleversafeCompiereContinuent

By Types:SharewareBundled SoftwareBSD(Berkeley Source Distribution)

By Applications:BMForumphpBBPHPWind

Furthermore, the report includes growth rate of the global market, consumption tables, facts, figures, and statistics of key segments.

By Regions:

Grab Your Report at an Impressive Discount! Please visit https://dataintelo.com/ask-for-discount/?reportId=92455

Years Considered to Estimate the Market Size:History Year: 2015-2019Base Year: 2019Estimated Year: 2020Forecast Year: 2020-2026

Important Facts about Open Source Software Market Report:

What Our Report Offers:

Make an Inquiry of This Report @ https://dataintelo.com/enquiry-before-buying/?reportId=92455

About DataIntelo:DATAINTELO has set its benchmark in the market research industry by providing syndicated and customized research report to the clients. The database of the company is updated on a daily basis to prompt the clients with the latest trends and in-depth analysis of the industry. Our pool of database contains various industry verticals that include: IT & Telecom, Food Beverage, Automotive, Healthcare, Chemicals and Energy, Consumer foods, Food and beverages, and many more. Each and every report goes through the proper research methodology, validated from the professionals and analysts to ensure the eminent quality reports.

Contact Info:Name: Alex MathewsAddress: 500 East E Street, Ontario,CA 91764, United States.Phone No: USA: +1 909 545 6473 | IND: +91-7000061386Email: [emailprotected]Website: https://dataintelo.com

See the rest here:
Global Open Source Software Industry 2020 Market Research With Size, Growth, Manufacturers, Segments And 2026 Forecasts Research - The Daily Chronicle

Global Open Source Software Market Forecast Revised in a New Market Research Store Report as COVID-19 Projected to Hold a Massive Impact on Sales in…

Posted on by

Global Open Source Software Market 20202026: Global Supply and Demand Analysis, Trends, and Forecast

Market Research Storehas published a research report on Open Source SoftwareMarket. This Open Source Software market report offers information related to future market scope, market size, production, market drivers, market statistics, and other vital factors. In addition to the market growth factors and restraining factors, the report also provides details related to the future scope and development in the market. The Open Source Software market report incorporates all the information related to the market challenges and opportunities depending on the sudden COVID-19 outbreak. Market Research Store touches upon all the market analysis of the yearly economic growth in the latest report on theOpen Source Software market. As per the analysts, the growth of the Open Source Software market will have an optimistic impact on the worldwide platform and it is also expected to grow over the next few years.

Ask for a Sample Copy of the Report (Use Corporate email ID to Get Higher Priority):https://www.marketresearchstore.com/report/global-open-source-software-market-report-2018-industry-269351#RequestSample

Competitive Landscape of Open Source Software market:

The report provides details such as strategies and collaborations among the players in order to gain a better understanding of the competition in the market place. Major manufacturersTranscend, Alfresco Software Inc, Continuent Inc., ClearCenter, Canonical, Cleversafe, Oracle, Actuate, Astaro Corp, Acquia, Compiere Inc., IBM, Intel, Epson, RethinkDBcovered in the report gives a microscopic outline of the market by focusing on global revenue, production, and distribution during the forecast period.

Market segmentation of Open Source Software market:

The Open Source Software market is segmented based on key players, regions, and other segments. Furthermore, each market segment is studied in-depth considering the market dynamics, supply & demand, growth factors, and status on the global platform. Customers can customize their market approach based on the segments. Furthermore, the market segmentation that is included in the report is{Shareware, Bundled Software, BSD(Berkeley Source Distribution), Other}; {Phpbb, BMForum, Phpwind, Other}.

Browse Full Report with More Professional and Technical Insights Including COVID-19 Impact::https://www.marketresearchstore.com/report/global-open-source-software-market-report-2018-industry-269351

Major highlights of the Open Source Software market report:

1. COVID-19 impact on the revenue streams of the Open Source Software market players.2. Statistics of the total sales volume and overall market revenue.3. Industry trends breakdowns.4. Estimated growth rate of the Open Source Software market.5. Pros and cons of the direct and indirect sales channels.6. In-depth information about the major distributors, dealers, and traders.

Productive opportunities:

This comprehensive report spills all the data concerning market challenges and dynamics in order to help take advantage of all the lucrative opportunities. This study provides studies of the current market conditions while concentrating on new business targets. Regional Insights ofOpen Source Software MarketBased on the geography, the report incorporates all regions North America, Latin America, Europe, Asia Pacific, and the Middle East and Africa from around the globe. The Open Source Software market analysis on the regional level will provide key characteristics and market expansion prospects.

Report can provide answers to these questions:

What are the factors propelling the Open Source Software market growth? What are lucrative opportunities for Open Source Software market in the future? Which are the key players in the Open Source Software market? What are the future Open Source Software market trends?

Contact Us For More Inquiry of Open Source Software Report at@https://www.marketresearchstore.com/report/global-open-source-software-market-report-2018-industry-269351#InquiryForBuying

The conclusion of this report provides a complete study and analysis conducted for the Open Source Software market by focusing on the developing market trends, opportunities, restraints, investment potential, and effective strategies to figure the market position.

About Us :

Market Research Store is a single destination for all the industry, company and country reports. We feature large repository of latest industry reports, leading and niche company profiles, and market statistics released by reputed private publishers and public organizations. Market Research Store is the comprehensive collection of market intelligence products and services available on air. We have market research reports from number of leading publishers and update our collection daily to provide our clients with the instant online access to our database. With access to this database, our clients will be able to benefit from expert insights on global industries, products, and market trends.

Read the original here:
Global Open Source Software Market Forecast Revised in a New Market Research Store Report as COVID-19 Projected to Hold a Massive Impact on Sales in...

What is ‘custom machine learning’ and why is it important for programmatic optimisation? – The Drum

Posted on by

Wayne Blodwell, founder and chief exec of The Programmatic Advisory & The Programmatic University, battles through the buzzwords to explain why custom machine learning can help you unlock differentiation and regain a competitive edge.

Back in the day, simply having programmatic on plan was enough to give you a competitive advantage and no one asked any questions. But as programmatic has grown, and matured (84.5% of US digital display spend is due to be bought programmatically in 2020, the UK is on track for 92.5%), whats next to gain advantage in an increasingly competitive landscape?

Machine Learning

[noun]

The use and development of computer systems that are able to learn and adapt without following explicit instructions, by using algorithms and statistical models to analyse and draw inferences from patterns in data.

(Oxford Dictionary, 2020)

Youve probably head of machine learning as it exists in many Demand Side Platforms in the form of automated bidding. Automated bidding functionality does not require a manual CPM bid input nor any further bid adjustments instead, bids are automated and adjusted based on machine learning. Automated bids work from goal inputs, eg achieve a CPA of x or simply maximise conversions, and these inputs steer the machine learning to prioritise certain needs within the campaign. This tool is immensely helpful in taking the guesswork out of bids and the need for continual bid intervention.

These are what would be considered off-the-shelf algorithms, as all buyers within the DSP have access to the same tool. There is a heavy reliance on this automation for buying, with many even forgoing traditional optimisations for fear of disrupting the learnings and holding it back but how do we know this approach is truly maximising our results?

Well, we dont. What we do know is that this machine learning will be reasonably generic to suit the broad range of buyers that are activating in the platforms. And more often than not, the functionality is limited to a single success metric, provided with little context, which can isolate campaign KPIs away from their true overarching business objectives.

Custom machine learning

Instead of using out of the box solutions, possibly the same as your direct competitors, custom machine learning is the next logical step to unlock differentiation and regain an edge. Custom machine learning is simply machine learning that is tailored towards specific needs and events.

Off-the-self algorithms are owned by the DSPs; however, custom machine learning is owned by the buyer. The opportunity for application is growing, with leading DSPs opening their APIs and consoles to allow for custom logic to be built on top of existing infrastructure. Third party machine learning partners are also available, such as Scibids, MIQ & 59A, which will develop custom logic and add a layer onto the DSPs to act as a virtual trader, building out granular strategies and approaches.

With this ownership and customisation, buyers can factor in custom metrics such as viewability measurement and feed in their first party data to align their buying and success metrics with specific business goals.

This level of automation not only provides a competitive edge in terms of correctly valuing inventory and prioritisation, but the transparency of the process allows trust to rightfully be placed with automation.

Custom considerations

For custom machine learning to be effective, there are a handful of fundamental requirements which will help determine whether this approach is relevant for your campaigns. Its important to have conversations surrounding minimum event thresholds and campaign size with providers, to understand how much value you stand to gain from this path.

Furthermore, a custom approach will not fix a poor campaign. Custom machine learning is intended to take a well-structured and well-managed campaign and maximise its potential. Data needs to be inline for it to be adequately ingested and for real insight and benefit to be gained. Custom machine learning cannot simply be left to fend for itself; it may lighten the regular day to day load of a trader, but it needs to be maintained and closely monitored for maximum impact.

While custom machine learning brings numerous benefits to the table transparency, flexibility, goal alignment its not without upkeep and workflow disruption. Levels of operational commitment may differ depending on the vendors selected to facilitate this customisation and their functionality, but generally buyers must be willing to adapt to maximise the potential that custom machine learning holds.

Find out more on machine learning in a session The Programmatic University are hosting alongside Scibids on The Future Of Campaign Optimisation on 17 September. Sign up here.

Visit link:
What is 'custom machine learning' and why is it important for programmatic optimisation? - The Drum

How Machine Learning is Set to Transform the Online Gaming Community – Techiexpert.com – TechiExpert.com

Posted on by

We often equate machine learning to fictional scenarios such as those presented in films including the Terminator franchise and 2001: A Space Odyssey. While these are all entertaining stories, the fact of the matter is that this type of artificial intelligence is not nearly as threatening. On the contrary, it has helped to dramatically enhance the overall user experience (UX) and to streamline many online functions (such as common search results) that we take for granted. Machine learning is also making its presence known within the digital gaming community. Without becoming overly technical, what transformations can we expect to witness and how will these impact the experience of the average gaming enthusiast?

Although games such as Pong and Super Mario Bros. were entertaining for their time, they were also quite predictable. This is why so many users have uploaded speed runs onto websites such as YouTube. However, what if a game actually learned from your previous actions? It is obvious that the platform itself would be much more challenging. This concept is now becoming a reality.

Machine learning can also apply to numerous scenarios. It may be used to provide a greater sense of realism with interacting with a role-playing game. It could be employed to offer speech recognition and to recognise voice commands. Machine learning may also be implemented to create more realistic non-playable characters (NPCs).

Whether referring to fast-paced MMORPGs to traditional forms of entertainment including slot games offered by websites such as scandicasino.vip, there is no doubt that machine learning will soon make its presence known.

We can clearly see that the technical benefits associated with machine learning will certainly be leveraged by game developers. However, it is just as important to mention that this very same technology will have a pronounced impact upon the players themselves. This is largely due to how games can be personalised based around the needs of the player.

We are not only referring to common options such as the ability to modify avatars and skins in this case. Instead, games are evolving to the point that they will base their recommendations off of the behaviours of the players themselves. For example, a plot may change as a result of how a player interacts with other characters. The difficulty of a specific level may be automatically adjusted in accordance with the skill of the player. As machine learning and AI both have the ability to model extremely complex systems, the sheer attention to graphical detail within the games (such as character features and backgrounds) will also become vastly enhanced.

We can see that the future of gaming looks extremely bright thanks to the presence of machine learning. While such systems might appear to have little impact upon traditional platforms such as solitaire, there is no doubt that they will still be felt across numerous other genres. So, get ready for a truly amazing experience in the months and years to come!

Excerpt from:
How Machine Learning is Set to Transform the Online Gaming Community - Techiexpert.com - TechiExpert.com

The Use of Machine Learning to Forecast Progression to Advanced AMD – DocWire News

Posted on by

There is a need for more comprehensive prediction models for advanced age-related macular degeneration (AMD) that consider a wider range of risk factors. Researchers tested a prediction model and applied a machine learning algorithm that autonomously identified the most significant clinical, genetic, and lifestyle risk factors for AMD.

The training set, obtained from the Rotterdam Study I (RS-I), included 3,838 patients aged 55 years or older. Median follow-up was 10.8 years, and there were 108 incident cases of advanced AMD. The test set, obtained from the ALIENOR study, included 362 participants aged 73 years or older. Median follow-up was 6.5 years, and there were 33 incident cases of advanced AMD.

The following factors were retained by the prediction model:

In the RS-I group, the cross-validated area under the receiver operating characteristic curve (AUC) estimation was: at five years, 0.92; at 10 years, 0.92; and at 15 years, 0.91. In the ALIENOR cohort, at five years, the AUC was 0.92. The researchers noted that when it came to calibration, the prediction model underestimated the cumulative incidence of advanced AMD in high-risk groups; this was particularly evident in the ALIENOR cohort.

They concluded that their prediction model achieved high discrimination abilities and was a step toward precision medicine for patients with AMD.

More here:
The Use of Machine Learning to Forecast Progression to Advanced AMD - DocWire News