Hong Kong residents march to defend freedom as China’s president draws a ‘red line’ – Washington Post

HONG KONG Tens of thousands of Hong Kong residents marched through the streets in defense of their cherished freedoms Saturday, in the face of what many see as a growing threat from mainland China, exactly two decades after the handover from British rule.

Earlier in the day, Chinas president, Xi Jinping, marked the 20th anniversary of the handover with his sternest warning yet to the territorys people: You can have autonomy, but dont do anything that challenges the authority of the central government or undermines national sovereignty.

Under the terms of the 1997 handover, China promised to grant Hong Kong a high degree of autonomy for at least 50 years, but Xi said it was important to have a correct understanding of the relationship between one country and two systems.

One country is like the roots of a tree, he told Hong Kongs elite after swearing in a new chief executive to govern the territory, Carrie Lam. For a tree to grow and flourish, its roots must run deep and strong. The concept of one country, two systems was advanced first and foremost to realize and uphold national sovereignty.

Many people in Hong Kong accused China of violating the territorys autonomy in 2015 by seizing five publishers who were putting out gossipy books about the Chinese leadership and allegedly distributing them on the mainland.

Some are also angry that Beijing intervened to disqualify newly elected pro-independence lawmakers who failed to correctly administer the oath of office last year. Many people are worried about a steady erosion of press freedom, and that in a range of areas China is increasingly determined to call the shots.

But Xi made it clear that challenges to Beijings authority would not be allowed.

Any attempt to endanger Chinas sovereignty and security, challenge the power of the central government and the authority of the Basic Law of the Hong Kong Special Administrative Region, or use Hong Kong for infiltration or sabotage activities against the mainland, is an act that crosses the red line and is absolutely impermissible, he said.

But that message didnt appear to go down well on the streets of Hong Kong. Organizers said more than 60,000 people joined Saturdays annual march, which they said was meant to deliver a message to the Chinese president.

Hes threatening Hong Kongs people, saying he has the power to make us do what he wants, said Anson Woo, a 19-year-old student.But I still have hope. Seeing all the people around me today, the people of Hong Kong are still fighting for what we value.

A poll by the Chinese University of Hong Kong showed people here attach even greater importance to judicial independence and freedom of the press than to economic development. Any notion that Hong Kong as a city is only about making money is clearly not accurate.

We have to take the chance to express our views while we still can, said Chan Sui Yan, a 15-year-old schoolgirl.They say it is one country, two systems, but right now we are losing a lot of the rights we value.

Some chanted slogans demanding democracy, criticizing the territorys ruling elite or the Communist Party. many called for the release of Nobel laureate and democracy icon Liu Xiabo, imprisoned in China since 2008 and this week taken to a hospital under close guard for treatment for advanced liver cancer.

We want to show the mainland there are other voices, outside the official voice, said teacher Tong Siu, 53.We want to safeguard the core values of Hong Kong.

In his speech, Chinas leader said that the concept of one country, two systems was a great success, and should be implemented unswervingly and not be bent or distorted.

While his words made it clear that sovereignty took precedence over autonomy, he said neither aspect should be neglected. Only in this way will the ship of one country, two systems break the waves, sail steadily and last the distance, he said.

Yet many people here say Hong Kongs autonomy was again badly distorted in March, with Lams election as chief executive. Although the former bureaucrat trailed well behind rival candidate John Tsang in opinion polls, she was chosen by a panel of 1,200 members of the territorys elite that was packed with pro-Beijing loyalists.

Although Tsang was also an establishment figure, political experts say Beijing seemed to want someonein the chief executives chairwho would not challenge its authority.

Xi did not shy away from raising two controversial demands that have previously brought Hong Kong residents out on the streets inthe hundreds of thousands.

Chinas leader said the territory needed to improve its systems to defend national security, sovereignty and development interests, as well as enhance education and raise public awareness of the history and culture of the Chinese nation.

Chinas demand that the territory pass a national security law caused massive street protests14 years ago, while plans to implement a program of patriotic education brought more people onto the streets in 2012 and helped politicize the territorys youths.

Both plans were subsequently shelved, but Lam hasindicated she aims to put themback on the table. But she also argues the time isnt right to satisfy a popular demand for greater democracy by allowing a future chief executive to be chosen by universal suffrage.

Marchers said moves to interfere with the education system smacked of brainwashing.

Martin Lee, Hong Kongs veteran pro-democracy political leader, said China was deliberately confusing patriotism with obedience.

When they say you must love the country, what they mean is you must obey the Communist Party, he said. We have no problem with the Communist Party as long as it adheres to the promises made to us.

But Lee said China had not fulfilled its promise to grant Hong Kong greater democracy.

They kept on postponing democracy, he said. Thats why young people are losing their patience.

On Saturday morning, a small group of pro-democracy protesters said they were attacked by hired thugs when they tried to stage a demonstration, and subsequently were briefly detained and beaten by police.

Joshua Wong, who led protests against patriotic education in 2012 and in favor ofdemocracy in 2014, was among the group andcalled the incidentanother violation of the promise to maintain Hong Kongs values, including the right to free speech. One country, two systems has given way to one country, one-and-a-half systems, he told The Washington Post.

Why would Hong Kong people want to accept patriotic education from a country that isruled by a single party dictatorship? he said. This is the core question. If the government is not elected by the people, how can we have a sense of belonging?

Luna Lin contributed to this report.

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Believe in the motherland, Chinas leader tells Hong Kong people and respect its might

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Hong Kong residents march to defend freedom as China's president draws a 'red line' - Washington Post

Many paid a high price for us to have freedom – Edmond Sun

Peggy Garner had a deeper and different understanding of liberty than Patrick Henry he who famously shouted Give me liberty or give me death. Peggy Garner had no liberty. She was a slave.

Patrick Henry detested taxation without representation by a distant British Parliament. Peggy Garner paid no taxes and had no liberty. Imprisoned on a plantation and a black female, she had perhaps the least liberty of all.

But when Peggy Garner escaped across a frozen river to Ohio, with her four children, perhaps she faintly heard Patrick Henry when hunted down by slave catchers. Give me liberty or give me death? Peggy chose death, wanting to kill her children and herself rather than be returned to slavery. She had killed just one child, slitting her throat, before being restrained.

Opposites help define each other, much as the meaning of light resides in total darkness. Peggy Garners act of desperation tells us what liberty means in a deeper and different way than even Jeffersons majestic claim that we are endowed by our Creator with certain unalienable rights of life, liberty, and the pursuit of happiness.

We get a deeper sense of the gradual, grinding progression of actualizing Jeffersons bold claim for all Americans when two centuries elapsed between a colonial editors shutting down his paper rather than pay the Stamp Act tax of 1764 and Martin Luther King, Jr.s soaring words on the national mall in 1963. Free at last! Free at last! Thank God Almighty, we are free at last!

And while black females were perhaps last in line for liberty, and white males particularly wealthy ones first in line, our liberty largely started with wealthy white males claiming those rights and then, with commoner whites and free blacks and some courageous women, fighting with guns, guts, and French help to secure freedom from British rule.

Two people illustrate the gradual trickle down progression of liberty over the next several centuries. David Acheson immigrated to America from northern Ireland in 1788 with the clothes on his back and a letter of introduction from his minister. Nine years later he was a successful banker, businessman, and politician who was invited to dine with President George Washington. The vast expanse of our new country soon from sea to shining sea opened up opportunities for those with ambition and talent to pursue their dreams, the American dream.

No one really wanted war. But Lincoln knew it was coming, perhaps unavoidable due to historical circumstance and economic pressures. Julia Ward Howe awakened around dawn at her Washington hotel and peered out the window. Having watched Union troops parade the day before, new words came to her for the rhythmic music of John Browns Body.

Mine eyes have seen the glory of the coming of the Lord, He is trampling out the vintage where the grapes of wrath are stored; He hath loosed the fateful lightning of his terrible swift sword; His truth is marching on.

David Achesons grandson of like name marched to those stirring words on his way to Gettysburg. He fell in battle a few hours later, giving his life that others might be free to live theirs more fully. His blood sacrifice and that of thousands more fulfilled the last verse of The Battle Hymn of the Republic As he died to make men holy, let us die to make men free.

Julia Ward Howe fought for womens rights and emancipation from a paternalistic culture, her own husband was something of a tyrant, for the next 50 years, being a fighting feminist before the phrase existed. Deep in her heart, she knew that one eternal truth that was marching on was that none of us are truly free until we all are free free to fully develop our God-given talents as both an act of self-fulfillment and a contribution to our national welfare.

For, as Peggy Garner, David Acheson, Julia Ward Howe, and many others knew, the freedom we celebrate on the Fourth of July must be for all people and for as long as we are willing to sacrifice blood and treasure to preserve it. God bless America and let us not let our liberty slip away. Many paid a high price for us to have it.

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Many paid a high price for us to have freedom - Edmond Sun

Alibaba: Building a retail ecosystem on data science, machine learning, and cloud – ZDNet

Data science and machine learning for domain specific insights are at the core of Alibaba's strategy for global expansions.

The war in retail has long ago gone technological. Amazon is the poster child of this transition, paving the way first by taking its business online, then embracing the cloud and offering ever more advanced services for compute and storage to thirrd parties via Amazon Web Services (AWS).

Amazon may be the undisputed leader both in terms of its market share in retail and its cloud offering, but that does not mean the competition just sits around watching. Alibaba, which some see as a Chinese counterpart of Amazon, is inspired by Amazon's success. However, its strategy both in retail and in cloud is diversified, with the two converging on one focal point: data science and machine learning (ML).

Wanli Min, Alibaba's principal data scientist, is a key figure in devising and implementing Alibaba's strategy. ZDNet had a chance to talk with Min about retail in and of the cloud, as well as data science, data pipelines, and ML.

Alibaba is not really a household name in the US, as the e-retail market there is dominated by Amazon and Walmart with others in pursuit. Recent expansion moves by Amazon and the ensuing demand by Walmart on its associates to move their applications off AWS has peaked the antagonism between them.

Alibaba however is huge in China, and China is huge. This makes Alibaba a force to be reckoned with. Even more so as there is still margin for growth there, both in terms of retail and in terms of cloud. This has not gone unnoticed by global players rushing to China to claim a piece of that pie, but it's clear that Alibaba has the home court advantage there.

Alibaba is not really in the picture for retail in the US. But they are set on changing that, by leveraging new products and data science. Image: Statista

This cuts both ways though, as Alibaba is also aiming to expand beyond its home market. Besides Asia, Alibaba is expanding in the Middle East, the US, and Europe. This brought Min to Paris to investigate partnerships and to advocate, as Alibaba Cloud participated in Viva Technology, the French answer to CeBIT.

Alibaba's record-breaking IPO in 2014 coincided with the launch of Alibaba Cloud. Alibaba looked to Amazon for inspiration there, however its cloud strategy is diversified, reflecting its overall strategy. Alibaba works as an ecosystem of retailers, consisting what it calls an economy.

What this means is that Alibaba wants to be something like a service provider to its retail customers, rather than owning the entire stack like Amazon or Walmart. And now Alibaba wants to leverage its cloud, data, and expertise to become the disciple of digital transformation (DT) for its ecosystem partners.

""The cloud is already accepted, but the question is -- what's next?" says Min. "What can you do with that compute power? Our answer is data intelligence, to provide real-time actionable insights. We are bringing together our cloud, our data and our expertise to facilitate DT via data science."

Min refers to Alibaba's recent launch of "Brains": Alibaba domain-specific intelligence solutions for domains such as healthcare, transportation, and manufacturing. This is in stark contrast to AWS, which offers generic infrastructure and tools and lets clients build applications on top of that.

Min explained that the rationale was to diversify from AWS by offering a value-add proposition instead of trying to play catch-up with them. "Convincing clients to go cloud is easy. But we need to convince them to go Alibaba Cloud, and that's where we made a different choice: vertical, vertical, vertical, value, value, value."

This may sound like a reasonable strategy for Alibaba, but it's not an easy one to execute.

First of all, how can you get the expertise for so many domains in one place? For domains like manufacturing and transport, Alibaba leveraged expertise by finding and hiring the right people. But Min says they can't do this for every domain, so the goal is to build strategic partnerships.

"We develop something workable, like a version 1.0, something our partners can start with, and then work with them to build versions 2.0, 3.0 and so on," explains Min. There's just one problem there: how is "something workable" going to compete against specialized solutions that have been developed by a number of domains by now?

"We had our doubts," Min confesses. "Doing this means going against competitors specialized in their area." The advantages of cloud that Alibaba can provide, like elasticity and scaling across geographies, are pretty much a given for these solutions too. Running in the (AWS, Microsoft, Google, etc.) cloud as SaaS means that's not much of a differentiating factor.

So why go for Alibaba? There's always the ecosystem aspect, and Min's answer along these lines, focusing on data science: "We can support clients going into uncharted territory. Our Brains can support you, and you will not be fighting by yourself -- you'll have an army of data scientists on your side."

The numbers there speak volumes. Alibaba has ~37,000 employees, and 20,000 of them are technical. Min is the leader of a cross-functional team of 300 people, including about 50 data scientists, 200 data engineers, and 50 business experts. The data science skill shortage is also felt in China, but Min says they have managed to recruit people from places like Japan, Europe, and the US.

Alibaba's strategy is based on an ecosystem, and it leverages this ecosystem to offer domain specific, data science-based intelligence applications too.

So how do all these people work, and what keeps them busy? Min says when approaching a new domain or problem, they do so in an exploratory fashion, but always with a business-oriented mindset. For example, transportation and logistics was chosen for its potential for impact. Even a single digit improvement for Alibaba partners can result in huge savings.

"There's different stages," says Min. "Initially, nobody knows how much we can do. We investigate feasibility and boundaries -- where it would be possible to break through current barriers. Then we try to accelerate, find better approaches, and invite our partners to co-innovate."

That sounds closely knit, but also labor and time intensive. Does Alibaba consider automating part of this process, or using some sort of framework for this? "Our approach is semi-automated. I don't believe in fully automated data science," says Min. "There is a huge risk there: you may come up with something that does not make sense in the real world.

If you do exploratory work in physics for example, you must make sure that your results are in line with the laws of physics. In business, your results must be in line with business processes. Otherwise you may end up with results that look fine on paper, but not make sense."

There are a number of spurious correlations examples that Min cites there. But isn't the boost in productivity that comes from automating tasks like trying out a multitude of ML models and features tempting? And what does Alibaba do to ensure ML results make sense in the real world?

"We do sanity checks" says Min. "And it is the subject matter experts that do those, not the data scientists. I don't want data scientists involved, I want people with a critical view to do this. They don't know the techniques, but they know the domain, and can tell you whether something makes sense or not.

Yes, it is conceivable that you may get in Go-like situations, where an algorithm may give results that make no sense because you did not think something was possible, but we're not talking about this. We are talking about checking whether your moves are in the board, so to speak. If results comply with the rules, fine, otherwise you have a problem. I see this a lot, this is why I insist."

And what about the black box problem with ML? While using ML may give great results, explaining how these result were derived is not always easy. "That's a huge concern," says Min. "Predicting is great, but in the end it's all about actionable insights. Our clients want to know how to improve, which factor to change and why. So we need to have explainable models. I don't like massive data intelligence without paying attention, and our clients often tell us too."

Min's way of dealing with this is by building two models -- a fast one and an explainable one. "We use a black box model to get results fast. Then we try to use a traditional model with explainable structure to approximate our results. As long as we have an explainable model that can approximate results with infinitesimal difference, it's good enough. I'd rather go for an explainable model.

Very often we have a hard time explaining results to customers. If we use the approximate model, it's much easier to sell: this is negative impact, this is positive impact... this matches the expert's experience of the world. They may not be able to quantify it, but they can relate to positive and negative impact."

Min says they build such models that look like sequential step-wise regression to try and mimic and approximate a black box model. But is it always possible to do this when you have features in the thousands? And wow hard is it? For Min, "you need the computational power to run them, but building them is the hardest part.

It takes a while for every new product, as it's a trial and error process. It's even hard to define the problem: we need to account for all input, figure out what kind of output we should expect and so on. We need to decompose the problem in a number of smaller problems, and that requires both technical and business expertise.

For example, my team once came up with what they considered a great solution for a certain problem. But on closer look, that solution depended heavily on a parameter that was vulnerable, as its value came from a sensor that was not 100 percent reliable. So that model was not workable. What happens if that value is missing, or if it's wrong?"

Finally, what kind of architecture and infrastructure does Alibaba use for its data pipeline? Its pipeline is a classic Lambda architecture one, with a streaming layer and a batch layer. It's rather complicated in fact, as Alibaba uses both Flink and Storm for real-time data processing, and in both cases has its own forks that it works with.

Min says the reason has to do with legacy. This is also why the company does not have immediate plans to flatten their architecture to a pure streaming Kappa one, as it has to support existing partners that use Storm.

Min emphasizes that partnerships are the key to Alibaba's strategy for expansion, so in that light that makes sense. Min also claims the "Brain" solutions are tested and reliable and will be competitive against point solutions. It remains to be seen how this strategy pays off for Alibaba, and how much traction it can get.

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Alibaba: Building a retail ecosystem on data science, machine learning, and cloud - ZDNet

Developing a Secure and Scalable Web Ecosystem at LinkedIn – InfoQ.com

Key Takeaways

Between 2008 and 2014, LinkedIns member base grew from around 16 million members to around 330 million members globally. This exponential growth within a relatively short period of time placed strains on the organizations infrastructure. As our member base grew, the need increased for more insight into how our members were best utilizing our platform and what product lines we could introduce to best serve the needs of professionals worldwide.

As such, numerous internal, web-based applications were produced that engineers, product managers, executives, and operations teams used to perform a variety of crucial tasks ranging from A/B testing, application deployment and lifecycle management, reporting, analytics, and more. As these new applications were rapidly fleshed out, likewise new approaches were taken to solve technology problems by introducing and vetting a number of different languages, frameworks, and tools. Such growth and experimentation resulted in a lack of uniformity among technologies and solutions between groups which created strains as more engineers were hired to fill roles within emerging teams.

Languages such as Python, Ruby, Java, Scala, JavaScript, and others emerged in various organic efforts or acquisitions that peppered the ecosystem with incompatible but useful solutions. Mind you, this effort of exploration was a healthy and intentional endeavor to seek out the best, long-term solutions for problems we were seeking to solve. Teams were encouraged to seek out technologies that they felt might provide benefit to the organization and this exploratory process was instrumental in helping us define what we would lean on, long-term, as a scaling and notable organization in Silicon Valley and across the globe.

By mid-2015, several dozen active projects had surfaced with various implementations, frameworks, and libraries. Because of the varying approaches, teams struggled to share code and, though repositories and artifacts were in place to provide, the implementations themselves lacked uniformity. In the case of JavaScript, some used a composite of libraries and micro-libraries like jQuery and Backbone.js, some teams used popular frameworks, while others rolled their own. A growing uncertainty loomed around how we would approach building front-ends for applications, how developers could share common logic across teams, and how we could streamline best practices for developer ergonomics and satisfaction.

As you can imagine, these growing number of varying technologies also introduced a security debt over time. Having a large number of frameworks, languages, and components made it increasingly difficult to assess the security posture of the applications built on top of it. Additionally, this undermined the efforts to move towards releasing a common framework level security solution to eliminate certain classes of vulnerabilities.

Around this same time, our complex infrastructure for the Linkedin.com website alone surpassed 3,000 submodules across over 6 million lines of code, all within a single repository trunk. This trunk approach was governed by a tedious monthly release cycle that encompassed hundreds of engineers across various teams. Prior to each release, a release candidate (RC) was selected and handed off to our testing teams for four days of manual regression testing. If any bugs were found, hotfixes were made to the RC to avoid disrupting the deployment. Engineers rushed to get their code checked in before the deadline to avoid having to wait an entire month to deliver their features or bug fixes to members.

Figure 1 - Our former deployment process

Such a serial and time-sensitive process had to be meticulously timed with product managers and marketing partners to coincide with their plans for new feature releases. It wasnt easy to iterate on member feedback because of this infrequent cadence of twelve releases per year.

Further, the need for prevention and remediation of potential security vulnerabilities had a strong dependency upon the deployment and release process. It was imperative that once a fix was identified and in place that it be within the production environment as quickly as possible. This often meant that security fixes were hotfixed against the release cycle instead of incorporated within it. It is generally a good practice to deploy a security patch in isolation; i.e. not to add other non-security related bug fixes along with a security update. This is primarily to reduce the chances of re-introducing a security vulnerability if the patch is rolled back due to a non-security related update breaking functionality on the site.

A less obvious side-effect of hyper-growth, a long release cadence, and a mixture of technologies was an emerging blocky and inconsistent User Experience (UX). As LinkedIn began to employee user research in its product development process, we found that many users felt the site was disconnected and that one page would look different from another. Because teams were releasing so far apart in cycles, the feedback loop for UI changes was delayed, impacting the quality of changes over time.

In 2014, LinkedIns mobile engineering teams began experimenting with what would become our current release model. Dubbed Train Release, this approach shifted from our monthly release cadence to one called 3x3 that would release three times per day, with no more than three hours between when code would be committed to when that code would be available to members.

The idea behind this was not just web-specific. The ultimate goal was to have all platforms running on this cadence including iOS, Android, API, and other back-end services necessary to run the LinkedIn.com experience and extended product lines and services.

Transitioning to such a release model was very challenging and required involvement from all areas of engineering, especially from our tooling and infrastructure teams. This would mean that our existing internal applications and tooling would require revisiting to ensure that developers were receiving timely information about the status of their changes in the deployment process, that they had the proper scripting and systems in place to automate much of that process, and that proper end-to-end testing could take place to ensure adequate code coverage.

Because of the short window between release cycles in this newly proposed approach, not all changes could be tested in such a short amount of time, placing a strong and necessary emphasis on testing and automation. This, among other challenges, resulted in the need for a client-side technologies that placed a natural emphasis on testing in its development lifecycle, as testing has not, historically, been in the purview of client-side engineering in the industry, particularly in web. This, combined with the many pain points listed above, became the catalyst for change in not only the Linkedin.com experience, but in the structure of our infrastructure and application-level technology stack.

While this meant that a security issue identified on the platform can now be fixed in a short period of time, it also meant that security issues could slip in fast with this frequency of code deployment. And when such a model is adopted by 100+ applications that comprise the LinkedIn ecosystem, this amplifies the need for security automation.

A simple but powerful approach towards securing web applications is to rely upon frameworks that offers inherent security features. Of course, the choice of framework is not only dependent on security, but also performance, ease of use and multiple other factors.

Our infrastructure team in collaboration with other partner teams, began extensively researching and vetting many languages, frameworks, and libraries, creating gap analyses for technologies that spanned the server-client relationship and the applications that would serve as tooling for future spin-ups in new and existing product lines and internal platforms.

Alongside this effort, our User Experience Research team established extensive focus groups and feedback efforts from members to gain a better sense of what the ideal experience for LinkedIn.com would be.

These joint efforts of product, design, and engineering resulted in project Voyager - a mobile-first, consistent User Experience (UX) across mobile platforms (iOS, Android, and Web). Focusing on mobile first gave us the opportunity to later extend to a future desktop application that would embrace the same UI patterns and theme, providing a consistent experience across all platforms.

Figure 2 - Project Voyager

As a result of this effort, two frameworks were chosen for building our API and web client - The Play Framework for Java and the Ember framework for web were chosen to be the de facto frameworks used for building web applications. LinkedIn had been previously investing efforts to contribute back to the Play Framework for some time prior to this new project and our security team performed an extensive gap analysis on the security features that were currently available in these frameworks against those features that were required for our stack.

Our analysis concluded that the Play Framework provided a secure-by-default approach along with a responsive security team, an active core developer community, extensive documentation, and a stable release cycle.

Ember shared all of these traits as well. As a Single-Page Application (SPA) framework, Ember also provided:

By moving the web to a client-side application, we were able to establish a uniform internal API for all clients (iOS, Android, Web), better aligning our infrastructure across various platforms and reducing the number of applications needed to provide data.

Embers focus on tests took us one step further towards automating deployment and was instrumental in our efforts towards embracing 3x3s. The framework provides three different types of tests - integration, acceptance, and unit tests. Integration testing allowed us to test data flows and interactions of components in the application, acceptance tests gave us user interaction testing, and unit tests provided us with ways to test application logic. As new components were generated by developers, the framework would produce the test files as well, allowing the developer to focus more on writing code and verifying its functionality in the tests, as opposed to just in the browser.

At Linkedin, our security team performs in-depth design reviews including hands on penetration test for all member facing products/features and functionalities. We are also heavily invested in security automation; However, with the 3x3 deployment architecture, we couldn't possibly scale manual penetration test for all builds, resulting in a decision to double down on security automation. Once we find a class of vulnerability that can be detected with a high level of confidence, we build automation checks for such classes of vulnerabilities. Our partner product security engineering teams have helped in building, maintaining, and scaling such automation. This allows us to focus on more interesting areas of the application/underlying framework and provides us more time to research some in-depth vulnerabilities in those areas.

As API endpoints were added to the application, a security analysis would need to occur to prevent vulnerabilities from emerging. Previously, this process was operationally cumbersome given the number of routes (paths to resources or URLs) per application but also the number of such applications that existed in the system. Our security team build tooling to detect and notify any new changes made to an application, broken down by the nature of change (addition or deletion of an external API route, modification to key code of the application etc) to assist in the evaluation of each such commit to the application. Thus, we were in a position to determine the state of an application since the last review. This allowed for targeted reviews, ensuring broader coverage and faster turnaround time for the assessment of our applications.

An established approach to security assessment is through the adoption of a security in depth principle. We do not want to be in a situation where the failure of a particular security control results in the failure of the entire chain. We love to give developers the tooling they need to avoid introducing security vulnerabilities. Our product security team built tooling to scan the code changes for potential vulnerabilities and, if any anti-patterns or discouraged practices were revealed, the developer would be notified even before committing the code, where they would have the opportunity to properly address the problem with the tool providing suggested code fixes. Once past the code review process, the changes were again analyzed and if a potential vulnerability was found, the code was rejected at the pre-commit stage of the deployment pipeline, through the adoption of custom pre-commit hooks.

Once a security issue has been identified on the platform through any channel, our goal is to prevent the same issue from surfacing back on the platform in the future. Thus, to help avoid regression issues, we build tooling and test cases that run continuously against the deployed services, detect the reintroduction of a particular instance of a security vulnerability, and send an alert to the security team for investigation.

Figure 3 - Pre-commit hook tool for scanning for potential XSS

In January of 2014, prior to the introduction of this system, we identified over 5,000 potential XSS vulnerabilities through code scans; by January of 2016, that number was less than 500. Further, the observation of pre-commit failures occurring due to the introduction of offending commits steadily declined during this same timeframe. Through our methodical approach to security automation, we saw close to 90% reduction in the presence and introduction of potential vulnerabilities.

[Click on the image to enlarge it]

Figure 4 - Our current (3x3) release cycle

To date, in our web client, we average around 50-75 commits per day from a developer body of over 100 UI engineers in a single repository. Each of these commits go through a code review system and require several separate approvals from developers on Access Control Lists (ACLs) to ensure code is at the highest quality. Code is evaluated against a style guide of best practices but is also scanned with linters for various languages to ensure developers are writing code similar to their peers. As mentioned above, these code changes also undergo an automated custom security scan to check for known classes of vulnerabilities including, but not limited to XSS, CSRF, and access control issues. Once developers receive the approvals they need and have addressed any opened issues, their code is submitted through a set of systems to ensure its health before it makes it into the set of commits bound for the next deployment.

These systems will perform a variety of tasks as well as run all of the applications tests. If these tests do not pass, the commit is rejected and the developer is notified. Once the commit passes, it enters into the trunk of the application and a separate set of tests are ran to ensure the code did not introduce performance regressions or exceed other obvious thresholds established by the application owners. Assuming all of these pass, the commit ends up in a production environment at the next available deployment. If no commits are introduced between deployment times, a deployment is still performed against the same version; this is part of the 3x3 methodology and ensures that code is rigorously tested.

The resulting shift towards a new release model has been instrumental in our ability to scale as an organization and has ushered in increased code quality, security, productivity, and member satisfaction. We are now more capable of providing our members with a safer, faster, modern experience, quickly resolving issues or bugs that are found, and innovating more rapidly.

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Developing a Secure and Scalable Web Ecosystem at LinkedIn - InfoQ.com

ESHIP Summit recap: Largest-ever meeting of ecosystem builders convenes to forge new economic model – Startland News

At times regarded as a buzzword whose definition is as variable as a startups valuation, the concept of entrepreneurial ecosystems received stalwart validation last week when the largest gathering of leaders cultivating such communities met in Kansas City. The Ewing Marion Kauffman Foundations ESHIP Summit culled more than 400 entrepreneurial ecosystem builders from around the world to the City of Fountains. The three-day summit whose mission was in part to explore a new model of economic development focused on entrepreneurship represents the largest ever meeting of ecosystem leaders in the United States.

Andy Stoll, the foundations senior program officer in ecosystem development, said the summit was unlike any other event as it focused on how to build a community for entrepreneurs in which they can thrive.Having that many people together reaffirmed what both Kauffman and myself have always believed, which is that theres a new emerging field of ecosystem building, Stoll said. This is really the beginning of a new model for economic development. To see the different types of people and the places they came from was powerful and affirming. Not everyone uses the term ecosystem builder, but a lot of people were thinking of how we can build a system that supports and encourages more entrepreneurs in our communities, which was exciting. Over the three days, the summit featured a variety of installations, including a Kansas City startup tour, analysis of ecosystem amenities, conversations to challenge attendees notions on economic development and other thought-provoking content, Stoll said. But as attendees embarked on the summit, Stoll said an intriguing exercise was for the group to define common nomenclature in the field of ecosystem development. For example, each attendee was asked defined words like ecosystem, entrepreneur, startup, capital and others.

Stoll was surprised by the array of answers.What we found were that some of the definitions were as varied as the diversity of attendees, he said. Its both exciting but also a little intimidating in recognizing that theres a lot more work to bring this field together than a three-day event can.

Stoll said that among many focus areas, diversity and inclusion of minority entrepreneurs was central. He said that the Kauffman Foundations research has shown a large gap among minority entrepreneurs, prompting to further support efforts to boost business creation among underrepresented groups.For example, the foundations State of Entrepreneurship report found if minorities started and owned companies at the same rate as White people, the U.S. would have over one million more businesses and up to an extra 9.5 million jobs.Stats like that should prompt ecosystems around the nation to be more intentional in catalyzing minority entrepreneurship, he said.

Diversity and inclusion became an underlying theme for the event, Stoll said. Diversity and inclusion arent just important because theyre the right thing to do, but theres also an incredibly powerful economic imperative to be more inclusive in building entrepreneurial ecosystems. Not giving all the community an opportunity to be an entrepreneur decreases the economic output of the community. It doesnt allow a community to be its true, full self.Regan Hales, vice president for strategic communication for the Amarillo Economic Development Corporation, said the summit was inspiring for a variety of reasons, including conversations on diversity and inclusion.With her head still spinning in a good way from the summit, Hales said its imperative for her and other organizations to drive change in how ecosystems are built. You couldnt leave the summit without thinking about diversity and inclusion, she said. My task now is to figure out how to give women and minorities and those entrepreneurs that havent been placed in a public role, a platform to be seen by a younger generation. Younger people need role models. We need to give these role models a public voice. A partner of Alyeska Venture Management in Anchorage, Alaska, Katherine Jernstrom said that her community also faces challenges with diversity and inclusion. There are over 100 languages spoken in the Anchorage School District and Anchorage is considered the largest Alaska Native Village. And yet, we dont focus on diversity and inclusion enough, said Jernstrom, whos also the founder of the Boardroom. I think because were such a new entrepreneurial community that weve built programs, funds and infrastructure with a lot of passion and speed but perhaps with less intention than we should have. I learned that we need to change that. Both Jernstrom and Hales said they were blown away by Kansas City. ESHIP Summit attendees not only were treated to in-depth conversations of ecosystem building, but also the areas vibrant art, music and food scene. Many attendees also took in a Kansas City Royals game, in which Royals second baseman Whit Merrifield hit a walkoff home run for a comeback win that was punctuated with fireworks. It made an impression on Hales.

I dont think that the rest of the world knows whats going on in Kansas City but they will soon, she said. I grew up in Texas and Im familiar with Austin and communities like Boulder and San Francisco that are known for entrepreneurship and innovation. But to go to Kansas City and see whats happening there community-wide is really inspiring.Jernstrom echoed the sentiment.

I love Kansas City, she said. Im so in awe of the food scene, the arts and culture, the people. You can actually feel the energy of a community that has put so much intention and work into rebuilding their neighborhoods and spirit of innovation. After a late night visit to the Green Lady Lounge with other ESHIPers I called my husband to download my day. His response was So we should move to Kansas City then?Stoll said that the Kauffman Foundation plans to host at least two more ESHIP Summits one in 2018 and another in 2019 but has not yet settled on a location.

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ESHIP Summit recap: Largest-ever meeting of ecosystem builders convenes to forge new economic model - Startland News

Legrand developing solutions for Cisco’s Digital Building ecosystem – Telecom Reseller (press release)

Over the past year since the last Cisco Live event, Legrand has been busy developing solutions for Ciscos Digital Building ecosystem and have been working with other ecosystem partners to help drive the market forward. We can talk about our partnerships (Superior Essex, Platformatics) within the ecosystem and how we have been working closely with them.Legrand has a strong connectivity offering to meet the needs of almost any PoE lighting installation and we are building out our physical infrastructure to support various installations as well. In this podcast with Rebecca Gilstra, LeGrands Director of Strategy, we explore the LeGrands product lineup for Cisco users, including prototype carriage for the new Cisco 8-port building series switch which will hook onto Cablofil, Legrands wire mesh tray as well as a new vertical wall mount cabinet that can be used to house your more traditional PoE switches. Visit http://www.legrand.com/EN/

Podcast: Play in new window | Download (Duration: 13:39 6.3MB)

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Legrand developing solutions for Cisco's Digital Building ecosystem - Telecom Reseller (press release)

Report Tells Pentagon to Beware Nuclear Drone Bombers … – Discover Magazine (blog)

A 509th Bomb Wing B-2 Spirit conducts a fly-by during the Scott Air Force Base 2017 Air Show and Open House June 11, which celebrates the bases 100th anniversary. The Air Force plans to replace the B-2 Spirit bomber with the similar-looking B-21 Raider bomber starting in the mid 2020s. Credit: U.S. Air Force photo/Senior Airman Tristin English

The U.S. Air Forces future B-21 Raider bomber may havethe option to remove the human pilots from the cockpit and effectively becomea large drone bomber. In one of the more unlikely scenarios,B-21 Raiders could theoretically end upcarrying nuclear bombs or missiles without a human pilot onboard. That seems like an extremely remote possibility given the U.S. Air Forces current views, but other countries may not hesitate as much to turn uninhabited aircraft into nuclear drone bombers, according to a new report.

Nobody in the U.S. defense community seems to be pushing nuclear drone bombers as a great idea, saysPaul Scharre, project director for the 20YY Warfare Initiative at the Center for a New American Security (CNAS).But Scharre and his colleagues still recommend that the Pentagon examine the possible implications of nuclear drone bombers in their recentreport titledDrone Proliferation: Policy Choices for the Trump Administration. After all, other countries that havenuclear weapons may also have a different risk calculus in mind when considering the idea of putting nuclear weapons aboard drones.

Given that countries are getting access to larger drones that can operate with larger payloads, and some of those countries have nuclear weapons, how should we be reacting?says Paul Scharre, project director for the 20YY Warfare Initiative at the Center for a New American Security (CNAS). It hasnt gotten much attention in the U.S. defense community because its considered a crazy idea, but other countries may think about this quite differently.

Russia is one example of a country that may have a different mindset.In 2012, a Russian Air Force lieutenant general suggested that Russia could deploy an uninhabited nuclear bomber by the 2040s.There is some precedent for Russias having greater comfort in handingnuclear weapons over to robotic systems, given its reliance on aDead Hand system (also calledPerimeter) that ensures automatic nuclear launches and retaliation against the United States if the U.S. military was ever to destroy the Russian leadership and command and control centers.

Unlike nuclear-armed cruise missiles or ballistic missiles, an uninhabited nuclear bomber could potentially end up on patrol in a holding pattern during a crisis situation. Such a delicate situation would require the drone nuclear bomber to have extremely trustworthyonboard autonomyand reliable communications with its remote human handlers, so that humans could ensure that they retain control over its nuclear payload. That complication of command and control is just one factor that the U.S. military might want to study, even if its simply to prepare for the possible complications of another country deploying nuclear drone bombers.

The U.S. military has been careful to keep a human in the loop for itsnuclear triad system that can deploy nuclear weapons from land-based missile silos, from stealthy submarines hidden under the sea, and from an aging fleet of 66 nuclear-capable strategic bombers in the air.That nuclear triad will receive a much-needed upgrade to the air arm when the B-21 Raiders begin becoming operational in the mid 2020s and begin replacing B-52 and B-2 bombers that havetypically already been in military service for more than45 years.

Its fine to keep human pilots aboard nuclear-armed strategic bombers as long as they have the stealth or other capabilities to survive their missions. But many nuclear-armed countries lack the ability to build sophisticated, long-range bombers that can survive the gauntlet of enemy air defenses and deliver nuclear bombs or missiles to their targets half a world away, Scharre says. One or more of those countries may see dronesas nuclear delivery vehicles that have some tactical advantages in future wars.

When you look at North Korea, Pakistan and India, those countries are in very different strategic positions in terms of vulnerability compared with the United States, Scharre says. Just because its not a great idea in a U.S. system doesnt mean others dont think about it that way.

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Report Tells Pentagon to Beware Nuclear Drone Bombers ... - Discover Magazine (blog)

Lots of water in Lake Tahoe means smaller beaches, sunbathers ‘packed like sardines’ – SFGate

Photo: Jay Howard / Lake Tahoe Nevada State Park

Even packed on a Monday: The beach at Sand Harbor, Lake Tahoe Nevada State Park, is packed on Mon., June 19, 2017. In the summer, even Mondays are busy at this popular beach.

Even packed on a Monday: The beach at Sand Harbor, Lake Tahoe Nevada State Park, is packed on Mon., June 19, 2017. In the summer, even Mondays are busy at this popular beach.

Regan Beach, South Lake Tahoe on June 29, 2017: With Lake Tahoe at nearly full capacity, the beach is practically nonexistent.

Regan Beach, South Lake Tahoe on June 29, 2017: With Lake Tahoe at nearly full capacity, the beach is practically nonexistent.

The same spot on Lake Tahoe on July 7, 2016: Amid the drought, the lake level is low and lakebed is exposed creating a larger beach.

The same spot on Lake Tahoe on July 7, 2016: Amid the drought, the lake level is low and lakebed is exposed creating a larger beach.

The same spot on Lake Tahoe on August 22, 2015: Amid the drought, the lake level is low and lakebed is exposed creating a larger beach.

The same spot on Lake Tahoe on August 22, 2015: Amid the drought, the lake level is low and lakebed is exposed creating a larger beach.

Even packed on a Monday:The beach at Sand Harbor, Lake Tahoe Nevada State Park, is packed on Mon., June 19, 2017. In the summer, even Mondays are busy at this popular beach.

Even packed on a Monday:The beach at Sand Harbor, Lake Tahoe Nevada State Park, is packed on Mon., June 19, 2017. In the summer, even Mondays are busy at this popular beach.

On a summer day in late June, 2017, the parking lot at Sand Harbor, Lake Tahoe Nevada State Park, is filling up fast.

On a summer day in late June, 2017, the parking lot at Sand Harbor, Lake Tahoe Nevada State Park, is filling up fast.

Don't mind the traffic on this epic March 2017 day with gorgeous weather and snow-capped peaks. The scenery is stunning around Mount Rose.

Don't mind the traffic on this epic March 2017 day with gorgeous weather and snow-capped peaks. The scenery is stunning around Mount Rose.

A summer day? No, that's Lake Tahoe at winter in March 2017.

A summer day? No, that's Lake Tahoe at winter in March 2017.

A snow-covered cabin on the West Shore of Lake Tahoe, March 2017

A snow-covered cabin on the West Shore of Lake Tahoe, March 2017

A picturesque view of Lake Tahoe in March 2017

A picturesque view of Lake Tahoe in March 2017

Winter in Lake Tahoe, March 2017

Winter in Lake Tahoe, March 2017

Winter in Lake Tahoe, March 2017

Winter in Lake Tahoe, March 2017

Winter in Lake Tahoe, March 2017

Winter in Lake Tahoe, March 2017

Tahoe City, winter, March 2017

Tahoe City, winter, March 2017

Snowy trees on theWest ShoreofLake Tahoe, March 2017

Snowy trees on theWest ShoreofLake Tahoe, March 2017

Guidebook writer Jannine Sprout took this photo of people along the snowy shores of Lake Tahoe on March 14, 2017.

Guidebook writer Jannine Sprout took this photo of people along the snowy shores of Lake Tahoe on March 14, 2017.

Heavenly Ski Resort, Presidents' Day weekend, February 2017

Heavenly Ski Resort, Presidents' Day weekend, February 2017

Winter day at Tahiti Beach, Lake Tahoe, March 13, 2017

Winter day at Tahiti Beach, Lake Tahoe, March 13, 2017

Worm Moon Setting on the Sierras, March 2017, Mike Herron Photography

"With how amazing the Worm Moon looked rising last night, I knew I wanted to capture a shot of it setting this morning," wrote Mike Herron on his Facebook page. "I set my alarm, and was thinking about going somewhere special for a shot. When I woke up, I realized I didn't need to make any special trips, I could see this amazing moon right out my bedroom window, so I just got my camera out, and went outside to watch it set. It sure looked beautiful in the Alpenglow on top of the snowy Sierras, and I am very happy I was able to capture this shot, as I've been craving getting a good moon capture. I hope everyone has an amazing day and can take a minute or two to enjoy this view of the 'Worm Moon Setting on the Sierras.'"

Worm Moon Setting on the Sierras, March 2017, Mike Herron Photography

"With how amazing the Worm Moon looked rising last night, I knew I wanted to capture a shot of it setting this morning," wrote Mike

Tahoe resident and photographer Sean Sarsfield captured the beauty of Lake Tahoe in March 2017. "It was an amazing day with hours spent seeking out light and shadow in the pristine wildness by her shores," wrote Sarsfield.

Tahoe resident and photographer Sean Sarsfield captured the beauty of Lake Tahoe in March 2017. "It was an amazing day with hours spent seeking out light and shadow in the pristine wildness by her shores,"

Lake Tahoe snowy and beautiful, March 2017

Lake Tahoe snowy and beautiful, March 2017

Perfect day hiking into Fallen Leaf Lake, March 2017

Perfect day hiking into Fallen Leaf Lake, March 2017

Lake Tahoe, winter, March 2017

Lake Tahoe, winter, March 2017

A dog named Levi enjoys the snow and pretty Lake Tahoe view, March 2017

A dog named Levi enjoys the snow and pretty Lake Tahoe view, March 2017

Winter wonderland, Lake Tahoe, March 2017

Winter wonderland, Lake Tahoe, March 2017

Photo taken from atop Diamond Peak on Jan. 12, 2017

Photo taken from atop Diamond Peak on Jan. 12, 2017

First visible sunrise for sometime in the Tahoe area, Feb. 25, 2017

First visible sunrise for sometime in the Tahoe area, Feb. 25, 2017

Lake Tahoe dazzles with natural beauty, March 2017

Lake Tahoe dazzles with natural beauty, March 2017

This garage has about 10 feet of snow piled on it and as the weather warmed, it curved down like a wave.

This garage has about 10 feet of snow piled on it and as the weather warmed, it curved down like a wave.

Clearing storm over Lake Tahoe, with sun streaming through the trees, making shadows through the clouds, March 2017.

Clearing storm over Lake Tahoe, with sun streaming through the trees, making shadows through the clouds, March 2017.

Nalu the husky enjoying the awesome Tahoe winter, March 2017

Nalu the husky enjoying the awesome Tahoe winter, March 2017

Clearning a driveway in Tahoe, March 2017

Clearning a driveway in Tahoe, March 2017

Nalu the husky enjoying the awesome Tahoe winter, March 2017

Nalu the husky enjoying the awesome Tahoe winter, March 2017

The Lake Tahoe area under a bluebird sky and blanketed with snow, March 2017

The Lake Tahoe area under a bluebird sky and blanketed with snow, March 2017

Nalu the husky enjoying the awesome Tahoe winter, March 2017

Nalu the husky enjoying the awesome Tahoe winter, March 2017

A snowy beach on Lake Tahoe, March 2017

A snowy beach on Lake Tahoe, March 2017

The river glistens and the snow sparkles under the sun's rays. Photo taken in the Tahoe region, March 2017.

The river glistens and the snow sparkles under the sun's rays. Photo taken in the Tahoe region, March 2017.

The Lake Tahoe area blanketed with snow, March 2017

The Lake Tahoe area blanketed with snow, March 2017

Diamond Peak skiing, March 2017

Diamond Peak skiing, March 2017

Footsteps through the snow, March 2017

Footsteps through the snow, March 2017

Dog play in the Tahoe snow, March 2017

Dog play in the Tahoe snow, March 2017

East shore of Lake Tahoe, March 2017

East shore of Lake Tahoe, March 2017

Kingsbury view, Lake Tahoe area, March 11, 2017

Kingsbury view, Lake Tahoe area, March 11, 2017

Kingsbury view, Lake Tahoe area, January, 2017

Kingsbury view, Lake Tahoe area, January, 2017

The Lake Tahoe area in all its natural beauty, March 2017

The Lake Tahoe area in all its natural beauty, March 2017

The Lake Tahoe Area covered in a carpet of snow, March 2017

The Lake Tahoe Area covered in a carpet of snow, March 2017

Emigrant sunrise, Lake Tahoe area, March 2017

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Lots of water in Lake Tahoe means smaller beaches, sunbathers 'packed like sardines' - SFGate

Texas: Fecal bacteria levels at Gulf beaches ahead of Fourth of July holiday weekend – mySanAntonio.com

By Kelsey Bradshaw, mySA.com / San Antonio Express-News

Photo: Smiley N. Pool, Houston Chronicle

-Nueces County

One area reporting low levels and another medium levels

-Nueces County

One area reporting low levels and another medium levels

- Nueces County

Level: Low

- Nueces County

Level: Low

- Nueces County

Level: Low

- Nueces County

Level: Low

- Nueces County

Three areas with low levels, another reporting high

- Nueces County

Three areas with low levels, another reporting high

Galveston County

Level: Low

Galveston County

Level: Low

- Nueces County

Level: Four areas reporting low

- Nueces County

Level: Four areas reporting low

- Calhoun and Matagorda counties

Level: Three ares reporting low levels and one reporting high

- Calhoun and Matagorda counties

Level: Three ares reporting low levels and one reporting high

Galveston County

Level: Eight areas reporting low levels and two reporting medium

Galveston County

Level: Eight areas reporting low levels and two reporting medium

Galveston County

Level: Two areas reporting low levels and one reporting medium

Galveston County

Level: Two areas reporting low levels and one reporting medium

Galveston County

Level: Two areas reporting low levels and two reporting medium

Galveston County

Level: Two areas reporting low levels and two reporting medium

Galveston County

Level: Two areas reporting low, one reporting high levels

Galveston County

Level: Two areas reporting low, one reporting high levels

- Nueces County

Level: Low

- Nueces County

Level: Low

Aransas County

Level: Three areas reporting low

Aransas County

Level: Three areas reporting low

- Nueces County

Level: Low

- Nueces County

Level: Low

- Nueces County

Level: Five areas reporting low

- Nueces County

Level: Five areas reporting low

- Nueces County

Level: Four areas reporting low levels

- Nueces County

Level: Four areas reporting low levels

- Nueces County

Level: Two reporting low

- Nueces County

Level: Two reporting low

- Nueces County

Level: Three areas reporting low levels

- Nueces County

Level: Three areas reporting low levels

- Cameron County

Level: Two reporting medium levels

- Cameron County

Level: Two reporting medium levels

- Cameron County

Level: Two areas reporting low levels

- Cameron County

Level: Two areas reporting low levels

- Cameron County

Level: Five areas checked reporting low levels and four reporting medium levels

- Cameron County

Level: Five areas checked reporting low levels and four reporting medium levels

- Cameron County

Level: Two areas reporting low levels

- Cameron County

Level: Two areas reporting low levels

- Cameron County

Level: Six areas reporting low levels

- Cameron County

Level: Six areas reporting low levels

- Jefferson County

Level: Two areas reporting medium levels and one reporting low

- Jefferson County

Level: Two areas reporting medium levels and one reporting low

- Nueces County

Level: Low

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Texas: Fecal bacteria levels at Gulf beaches ahead of Fourth of July holiday weekend - mySanAntonio.com

Police: Smoking pot not allowed on beaches | Local News … – The Salem News

GLOUCESTER John McCarthy, Gloucester's interim police chief, says that since the recreational use of marijuana became legal last December, many people think it's OK to smoke it in public including on Gloucester's beaches.

It's not, he says. Neither is drinking alcohol in public places.

So on this extended Fourth of July weekend, city police will be stepping up patrols at Good Harbor, Wingaersheek and other city beaches to ensure that beachgoers abide by the city's ordinances against public drinking and marijuana use, with an eye toward ensuring that a Gloucester beach visit is a good experience for all.

"We had a lot of complaints on a few of the hot days," McCarthy said. "There are a lot of young families at our beaches, and this (marijuana smoking) isn't what we want."

While both uniformed police and some plainclothes officers will be stepping up their presence, that doesn't necessarily mean offenders will be facing a full-fledged crackdown with multiple arrests.

"For the first week or so, my orders are to just try to educate the public," McCarthy said. "If somebody is being rowdy and disruptive, well, then we will arrest them. But right now, we want to be sure that people are aware of what they can and cannot do. It's kind of a soft opening."

Public Works Director Mike Hale, whose department manages and maintains the city beaches, said his office hasn't been flooded with complaints, but he has heard from lifeguards and other beach staffers that beachgoers smoking pot and other issues, such as loud radios, have been concerns. Playing radios excessively loud is also against beach rules.

"Everyone's got to be able to enjoy themselves," Hale said, "and smoking and loud music doesn't fit everyone's idea of a good time at the beach.

"It's not so much the couple sitting quietly and having a drink that's the problem," he said. "It tends to be large groups that can get to be obnoxious and they can be messy when it comes to cleaning up. That's where the problems come in."

McCarthy said he hopes the presence of officers in uniform on the beach will help the situation. He added that, while lifeguards can report issues to police, they should not be expected to carry out police work.

"That's not what they do," he said. "We want them to keep their eyes on the swimmers."

Staff writer Ray Lamont can be reached at 978-675-2705, or via email at rlamont@gloucestertimes.com.

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Police: Smoking pot not allowed on beaches | Local News ... - The Salem News

California may soon ban smoking, vaping at beaches, parks | The … – The San Luis Obispo Tribune


The San Luis Obispo Tribune
California may soon ban smoking, vaping at beaches, parks | The ...
The San Luis Obispo Tribune
Public parks and state beaches would be added to the list of no-smoking zones in California under a bill that cleared another legislative hurdle this week.

and more »

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California may soon ban smoking, vaping at beaches, parks | The ... - The San Luis Obispo Tribune

RI state beaches face a shortage of lifeguards – The Providence Journal

If you're heading to a state beach this weekend or into the holiday week, look for big red flags showing which sections are protected by lifeguards. "Please swim between the red flags," said Robert Paquette, chief of the parks and recreation division of the state Department of Environmental Management.

If you're heading to a state beach this weekend or into the holiday week, look for big red flags showing which sections are protected by lifeguards.

"Please swim between the red flags,"said Robert Paquette, chief of the parks and recreation division of the state Department of Environmental Management.

Although Rhode Island typically uses such flags in spring and fall, especially as younger summer lifeguards have gone back to school, the red markers will probably be up all summer, Paquette said.

That's because the state beaches are contendingwith a lifeguard shortage that beaches around the country are experiencing, he said.

Rhode Island typically needs 150 lifeguards for its 14 state beaches. This year, it's 20 lifeguards short, said Katie Degnan, the DEM's lifeguard coordinator.

Paquette's division runs the testing for lifeguards at freshwater and saltwater beaches in Rhode Island state beaches and those run by municipalities or private operators. He said he's hearing that city, town and private beaches are also having trouble hiring lifeguards.

But Degnan said the shortage for state beaches is a bit puzzling because the number of lifeguards her division certified this year is higher than last year 919, compared with 887 in 2016.

In Middletown, where Second Beach and Third Beach attract throngs through the summer, beach manager Timothy Coen said he typically turns down 20 to 25 applicants. This year, he had no surplus. Typically, he hires about 40 lifeguards, 30 full-time and 10 part-time. He's short about five full-time lifeguards this year.

Coen isn't sure why. He said he had begun to think young people weren't so interested in the hard work of a lifeguard job but when told the state certified more people this year than last year, he said those numbers don't back up that notion.

Besides, Coen said, he hasn't heard people say they don't want to work hard, and he still finds dedicated lifeguards: "We just could use a few more."

Many states don't require lifeguards at state beaches and some, like Connecticut, are cutting back because of budget crunches, Paquette said.Rhode Island is one of the few that require lifeguards at its beaches, he said.

Despite trouble filling these jobs, Paquette said he doesn't think Rhode Island would stop hiring guards for its beaches.

"There's always a drowning, every year, and if there's a proposal to [do away with guards], that drowning always seems to jump to the forefront," Paquette said. "People get comfortable, and I think there would be an outcry if we tried to do some of our locations without lifeguards."

Paquettethinks it's getting more difficult to find lifeguards for a variety of reasons, including:

One other difficulty the state faces is competition from private beaches and towns that offer higher pay or incentives. For example, the Misquamicut Fire District offers a $300 signing bonus, Paquette said.

Lifeguards at state beaches are state employees, with pay of $12 to $13 an hour. But some private and town beaches pay $15 an hour or more, Paquette said.

Anyone interested in becoming a lifeguard may call the Rhode Island Division of Parks & Recreation: (401) 667-6200.

kbramson@providencejournal.com

(401) 277-7470

On Twitter: @JournalKate

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RI state beaches face a shortage of lifeguards - The Providence Journal

Beaches police step up security for holiday, holiday weekend – First Coast News

Authorities say they are implementing new measures for 4th of July

Juliette Dryer, WTLV 6:28 PM. EDT June 30, 2017

JACKSONVILLE, Fla. - Ahead of the July 4 holiday weekend, representatives from all three beaches police departments are reminding the public, if you see something say something.

Tens of thousands of people flock to the beaches for July 4 every year. Neptune Beach Police Chief Richard Pike said the department started preparing for the holiday months ago by meeting with JSO Special Events and Homeland Security.

We will do everything we can to make this event as safe as possible, Chief Pike said.

Pike said 20 JSO officers will assist Neptune Beach Police on the holiday. Both uniformed and plain-clothes officers will mingle in the crowds.

Additionally, this is the second July 4 forNBPD to use a sky-lift from Naval Station Mayport. For the first time, they will also use a drone to monitor the July 4 crowds from above.

Monitor the crowd and look for any type of suspicious activity, Pike said.

Road closures will be in place across the beaches. For the first time, 1st Street in Neptune Beach will be closed to vehicle traffic. The barricades at the closures will be reinforced, Pike said.

Not only will he have marked police cars at the barricade areas, well also use the large water barricades, he said.

Its wild. Its a lot of fun, theres a lot of people [that] come out, longtime beach resident Leonard Reed told First Coast News. For Reed, a Vietnam veteran, security is top of mind.

I see lots of opportunities for people that are intent on hurting a lot of people, Reed said.

Jacksonville Beach Police could not reveal specific details of their security plan. However, they said there will be increased police presence at strategic times during the holiday and the weekend.

Atlantic Beach will also have additional officers in the Beaches Town Center area.

2017 WTLV-TV

Original post:

Beaches police step up security for holiday, holiday weekend - First Coast News

Could foreground stars make faraway quasars twinkle? – Astronomy Magazine

Stars twinkle because were looking at them through Earths turbulent atmosphere. Quasars are not stars, but the massive disks around supermassive black holes sitting at the centers of faraway galaxies, gobbling up immense amounts of dust and gas. These objects show variability on a variety of timescales at different wavelengths, including variations in radio light. A recent study now suggests that some quasars might twinkle because of features around foreground stars when we peer at them from our vantage point on Earth.

The work, led by Mark Walker of Manly Astrophysics and published in the Astrophysical Journal, began with observations taken with the Commonwealth Scientific and Industrial Research Organisations (CSIRO) Compact Array radio telescope in Australia. While studying the quasar PKS 1322110, it began twinkling violently, said Walker in a press release. When the team followed up with the 10-meter Keck telescope on Mauna Kea, Hawaii, they noticed the quasar is very close on the sky to the hot star Spica, said collaborator Vikram Ravi of the California Institute of Technology.

That realization brought another twinkling quasar to mind: J1819+3845, which is close to the bright star Vega on the sky. Based on that knowledge, the team examined data of J1819+3845 and a third violently twinkling quasar, PKS 1257326, which is near the star Alhakim.

Could these alignments be pure chance? The researchers calculated that the likelihood of two twinkling quasars residing near hot stars on the sky was about one in ten million.

Based on their re-examination of data taken J1819+3845 and PKS 1257326, We have very detailed observations of these two sources, said co-author Hayley Bignall of CSIRO. They show that the twinkling is caused by long, thin structures.

These structures, the team thinks, are filaments of warm gas around hot stars, much like the filaments seen in the Helix Nebula. The Helix Nebula contains globules of hydrogen gas, which are stretched out into filaments by ultraviolet radiation from the central star. Although the Helix Nebula is home to an older star and the globules likely formed recently, the astronomers think similar structures might sit around younger stars.

They might date from when the stars formed, or even earlier, said Walker. Globules don't emit much light, so they could be common yet have escaped notice so far.

If so, these globules and the filaments associated with them could be responsible for the twinkling of background quasars when they affect the focus of the radio signals traveling through them, rather than changes in emission from the quasars themselves. Determining the true reason for the twinkling will tell astronomers more about both the physics of distant quasars and the stars in our own galaxy.

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Could foreground stars make faraway quasars twinkle? - Astronomy Magazine

Earth-based views of Jupiter to enhance Juno flyby – Astronomy Now Online

This composite, false-color infrared image of Jupiter reveals haze particles over a range of altitudes, as seen in reflected sunlight. It was taken using the Gemini North Telescopes Near-InfraRed Imager (NIRI) on May 18, 2017, in collaboration with the investigation of Jupiter by NASAs Juno mission. Credit: Gemini Observatory/AURA/NASA/JPL-Caltech

Telescopes in Hawaii have obtained new images of Jupiter and its Great Red Spot, which will assist the first-ever close-up study of the Great Red Spot, planned for July 10. On that date, NASAs Juno spacecraft will fly directly over the giant planets most famous feature at an altitude of only about 5,600 miles (9,000 kilometres).

Throughout the Juno mission, numerous observations of Jupiter by Earth-based telescopes have been acquired in coordination with the mission, to help Juno investigate the giant planets atmosphere. On May 18, 2017, the Gemini North telescope and the Subaru Telescope, both on Hawaiis Mauna Kea peak, simultaneously examined Jupiter in very high resolution at different wavelengths. These latest observations supplement others earlier this year in providing information about atmospheric dynamics at different depths at the Great Red Spot and other regions of Jupiter.

The Great Red Spot is a swirling storm, centuries old and wider than the diameter of Earth. Juno will use multiple instruments to study this feature when it flies over it about 12 minutes after the spacecraft makes the closest approach to Jupiter of its current orbit at 6:55 p.m. on July 10, PDT (9:55 p.m. on July 10, EDT; 1:55 a.m. on July 11, Universal Time). Juno entered orbit around Jupiter on July 4, 2016.

Observations with Earths most powerful telescopes enhance the spacecrafts planned observations by providing three types of additional context, said Juno science team member Glenn Orton of NASAs Jet Propulsion Laboratory, Pasadena, California. We get spatial context from seeing the whole planet. We extend and fill in our temporal context from seeing features over a span of time. And we supplement with wavelengths not available from Juno. The combination of Earth-based and spacecraft observations is a powerful one-two punch in exploring Jupiter.

Orton collaborated with researchers at Gemini; Subaru; the University of California, Berkeley; Tohoku University, Japan; and elsewhere in planning the recent observations.

The observers used Gemini North on May 18 to examine Jupiter through special near-infrared filters. The filters exploit specific colors of light that can penetrate the upper atmosphere and clouds of Jupiter, revealing mixtures of methane and hydrogen in the planets atmosphere. These observations showed a long, fine-structured wave extending off the eastern side of the Great Red Spot.

On the same night, researchers used Subarus Cooled Mid-Infrared Camera and Spectrometer (COMICS), with filters sensitive to temperatures at different layers of Jupiters atmosphere. These mid-infrared observations showed the Great Red Spot had a cold and cloudy interior increasing toward its center, with a periphery that was warmer and clearer, Orton said. A region to its northwest was unusually turbulent and chaotic, with bands that were cold and cloudy, alternating with bands that were warm and clear.

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Earth-based views of Jupiter to enhance Juno flyby - Astronomy Now Online

First quarter Moon meets Jupiter and Spica in the evening sky – Astronomy Now Online

30 June 2017 Ade Ashford

Observers in the UK and Western Europe need to direct their gaze low to the southwest an hour after sunset to glimpse the 7-day-old Moon (first quarter occurs in the small hours of Saturday, 1July) a low-power binocular field of view to the right of Jupiter in the bright twilight of Friday, 30June. The following night finds the waxing gibbous Moon a similar distance to the largest planets upper left, forming a near isosceles triangle with first-magnitude star Spica in Virgo. For scale, Jupiter and Spica are currently separated by about the span of a fist at arms length. AN animation by Ade Ashford.Its hard believe that 12weeks have elapsed since Jupiter was at opposition. But now that we are into summer, the Solar Systems largest known planet is already sinking in the southwest when it can be first seen with the naked eye in bright twilight around 10:30pmBST from the UK.

If you find it hard to locate Jupiter in the bright sky around civil dusk, a convenient celestial marker in the form of the almost first quarter Moon sits just 6degrees to the right on the planet on the evening of Friday 30June. The pair can fit in the same field of view of wide-angle 7 binoculars.

One night later, the 8-day-old Moon lies 6.4degrees to the upper left of Jupiter, forming an almost isosceles triangle with first-magnitude Spica, the brightest star in the constellation of Virgo. Jupiter and Spica are 10⅔degrees apart at this time, roughly the span of a fist at arms length.

If you are successful in catching a glimpse of the changing configuration of this celestial trio on the nights of 30June and 1July, reflect on the knowledge that Jupiter (distance 491million miles, or 790million kilometres) lies about 2,000 times farther away than the Moon. And at a distance of about 250 light-years, Spica is a staggering 3million times more distant than Jupiter!

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First quarter Moon meets Jupiter and Spica in the evening sky - Astronomy Now Online

Prebiotic atmosphere discovered on accretion disk of baby star – Phys.Org

June 30, 2017 Figure 1: Jet, disk, and disk atmosphere in the HH 212 protostellar system. (a) A composite image for the HH 212 jet in different molecules, combining the images from the Very Large Telescope (McCaughrean et al. 2002) and ALMA (Lee et al. 2015). Orange image shows the dusty envelope+disk mapped with ALMA. (b) A zoom-in to the central dusty disk. The asterisk marks the position of the protostar. A size scale of our solar system is shown in the lower right corner for comparison. (c) Atmosphere of the accretion disk detected with ALMA. In the disk atmosphere, green is for deuterated methanol, blue for methanethiol, and red for formamide. Credit: ALMA (ESO/NAOJ/NRAO)/Lee et al.

An international research team, led by Chin-Fei Lee of the Academia Sinica Institute of Astronomy and Astrophysics (ASIAA, Taiwan), has used the Atacama Large Millimeter/submillimeter Array (ALMA) to detect complex organic molecules for the first time in the atmosphere of an accretion disk around a very young protostar. These molecules play a crucial role in producing the rich organic chemistry needed for life. The discovery suggests that the building blocks of life are produced in such disks at the very beginning of star formation and that they are available to be incorporated into planets that form in the disk subsequently. It could help us understand how life came to be on Earth.

"It is so exciting to discover complex organic molecules on an accretion disk around a baby star," says Chin-Fei Lee at ASIAA. "When such molecules were first found in the protoplanetary disk around a star in a later phase of star formation, we wondered if they could have formed earlier. Now, using ALMA's unprecedented combination of spatial resolution and sensitivity, we not only detect them on a younger accretion disk, but also determine their location. These molecules are the building blocks of life, and they are already there in the disk atmosphere around the baby star in the earliest phase of star formation."

Herbig-Haro (HH) 212 is a nearby protostellar system in Orion at a distance of about 1,300 light-years. The central protostar is very young, with an estimated age of only 40,000 yearsabout 1/100,000th the age of our sunand a mass of only 0.2 solar mass. It drives a powerful bipolar jet and thus must accrete material efficiently. Indeed, an accretion disk is seen feeding the protostar. The disk is nearly edge-on and has a radius of about 60 astronomical units (AU), or 60 times the average Earth-sun distance. Interestingly, it shows a prominent equatorial dark lane sandwiched between two brighter features, looking like a "space hamburger."

The research team's ALMA observations have clearly detected an atmosphere of complex organic molecules above and below the disk. These include methanol (CH3OH), deuterated methanol (CH2DOH), methanethiol (CH3SH), and formamide (NH2CHO). These molecules have been proposed to be the precursors for producing biomolecules such as amino acids and sugars. "They are likely formed on icy grains in the disk and then released into the gas phase because of heating from stellar radiation or some other means, such as shocks," says co-author Zhi-Yun Li of the University of Virginia.

The team's observations open up an exciting possibility of detecting complex organic molecules in disks around other baby stars through high-resolution and high-sensitivity imaging with ALMA, which provides strong constraints on theories of prebiotic chemistry in star and planet formation. In addition, the observations open up the possibility of detecting more complex organic molecules and biomolecules that could shed light on the origin of life.

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Explore further: Methanol detected for first time around young star

More information: Chin-Fei Lee et al. Formation and Atmosphere of Complex Organic Molecules of the HH 212 Protostellar Disk, The Astrophysical Journal (2017). DOI: 10.3847/1538-4357/aa7757

Journal reference: Astrophysical Journal

Provided by: Academia Sinica

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That is clearly the Silfen Gas Halo

An important and valuable discovery such as this should not be made light of. This is brilliant work.

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Prebiotic atmosphere discovered on accretion disk of baby star - Phys.Org

Artificial Intelligence Predicts Death to Help Us Live Longer – Singularity Hub

Do not go gentle into that good night, Old age should burn and rave at close of day; Rage, rage against the dying of the light.

Welsh poet Dylan Thomas famous lines are a passionate plea to fight against the inevitability of death. While the sentiment is poetic, the reality is far more prosaic. We are all going to die someday at a time and place that will likely remain a mystery to us until the very end.

Or maybe not.

Researchers are now applying artificial intelligence, particularly machine learning and computer vision, to predict when someone may die. The ultimate goal is not to play the role of Grim Reaper, like in the macabre sci-fi Machine of Death universe, but to treat or even prevent chronic diseases and other illnesses.

The latest research into this application of AI to precision medicine used an off-the-shelf machine-learning platform to analyze 48 chest CT scans. The computer was able to predict which patients would die within five years with 69 percent accuracy. Thats about as good as any human doctor.

The results were published in the Nature journal Scientific Reports by a team led by the University of Adelaide.

In an email interview with Singularity Hub, lead author Dr. Luke Oakden-Rayner, a radiologist and PhD student, says that one of the obvious benefits of using AI in precision medicine is to identify health risks earlier and potentially intervene.

Less obvious, he adds, is the promise of speeding up longevity research.

Currently, most research into chronic disease and longevity requires long periods of follow-up to detect any difference between patients with and without treatment, because the diseases progress so slowly, he explains. If we can quantify the changes earlier, not only can we identify disease while we can intervene more effectively, but we might also be able to detect treatment response much sooner.

That could lead to faster and cheaper treatments, he adds. If we could cut a year or two off the time it takes to take a treatment from lab to patient, that could speed up progress in this area substantially.

In January, researchers at Imperial College London published results that suggested AI could predict heart failure and death better than a human doctor. The research, published in the journal Radiology, involved creating virtual 3D hearts of about 250 patients that could simulate cardiac function. AI algorithms then went to work to learn what features would serve as the best predictors. The system relied on MRIs, blood tests, and other data for its analyses.

In the end, the machine was faster and better at assessing risk of pulmonary hypertensionabout 73 percent versus 60 percent.

The researchers say the technology could be applied to predict outcomes of other heart conditions in the future. We would like to develop the technology so it can be used in many heart conditions to complement how doctors interpret the results of medical tests, says study co-author Dr. Tim Dawes in a press release. The goal is to see if better predictions can guide treatment to help people to live longer.

These sorts of applications with AI to precision medicine are only going to get better as the machines continue to learn, just like any medical school student.

Oakden-Rayner says his team is still building its ideal dataset as it moves forward with its research, but have already improved predictive accuracy by 75 to 80 percent by including information such as age and sex.

I think there is an upper limit on how accurate we can be, because there is always going to be an element of randomness, he says, replying to how well AI will be able to pinpoint individual human mortality. But we can be much more precise than we are now, taking more of each individuals risks and strengths into account. A model combining all of those factors will hopefully account for more than 80 percent of the risk of near-term mortality.

Others are even more optimistic about how quickly AI will transform this aspect of the medical field.

Predicting remaining life span for people is actually one of the easiest applications of machine learning, Dr. Ziad Obermeyer tells STAT News. It requires a unique set of data where we have electronic records linked to information about when people died. But once we have that for enough people, you can come up with a very accurate predictor of someones likelihood of being alive one month out, for instance, or one year out.

Obermeyer co-authored a paper last year with Dr. Ezekiel Emanuel in the New England Journal of Medicine called Predicting the FutureBig Data, Machine Learning, and Clinical Medicine.

Experts like Obermeyer and Oakden-Rayner agree that advances will come swiftly, but there is still much work to be done.

For one thing, theres plenty of data out there to mine, but its still a bit of a mess. For example, the images needed to train machines still need to be processed to make them useful. Many groups around the world are now spending millions of dollars on this task, because this appears to be the major bottleneck for successful medical AI, Oakden-Rayner says.

In the interview with STAT News, Obermeyer says data is fragmented across the health system, so linking information and creating comprehensive datasets will take time and money. He also notes that while there is much excitement about the use of AI in precision medicine, theres been little activity in testing the algorithms in a clinical setting.

Its all very well and good to say youve got an algorithm thats good at predicting. Now lets actually port them over to the real world in a safe and responsible and ethical way and see what happens, he says in STAT News.

Preventing a fatal disease is one thing. But preventing fatal accidents with AI?

Thats what US and Indian researchers set out to do when they looked over the disturbing number of deaths occurring from people taking selfies. The team identified 127 people who died while posing for a self-taken photo over a two-year period.

Based on a combination of text, images and location, the machine learned to identify a selfie as potentially dangerous or not. Running more than 3,000 annotated selfies collected on Twitter through the software resulted in 73 percent accuracy.

The combination of image-based and location-based features resulted in the best accuracy, they reported.

Whats next? A sort of selfie early warning system. One of the directions that we are working on is to have the camera give the user information about [whether or not a particular location is] dangerous, with some score attached to it, says Ponnurangam Kumaraguru, a professor at Indraprastha Institute of Information Technology in Delhi, in a story by Digital Trends.

This discussion begs the question: Do we really want to know when were going to die?

According to at least one paper published in Psychology Review earlier this year, the answer is a resounding no. Nearly nine out of 10 people in Germany and Spain who were quizzed about whether they would want to know about their future, including death, said they would prefer to remain ignorant.

Obermeyer sees it differently, at least when it comes to people living with life-threatening illness.

[O]ne thing that those patients really, really want and arent getting from doctors is objective predictions about how long they have to live, he tells Marketplace public radio. Doctors are very reluctant to answer those kinds of questions, partly because, you know, you dont want to be wrong about something so important. But also partly because theres a sense that patients dont want to know. And in fact, that turns out not to be true when you actually ask the patients.

Stock Media provided by photocosma / Pond5

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Artificial Intelligence Predicts Death to Help Us Live Longer - Singularity Hub

Artificial Intelligence versus humans, who will win? – YourStory.com

Artificial Intelligence is a computer program of a higher order and nothing else.

When I saw men fighting off a sinister takeover attempt by machines in Terminator 2- The Judgment Day, 25 years ago, I laughed it off, even though I enjoyed the thrill of the movie.

Man versus machine is probably the second best bogey after God versus Lucifer eternal battle.

Of course, we all want the man to win. We cant imagine ourselves serving some metal bodies, after all. But there may be some among us who are still wondering if the consequences of AI would eventually lead us there.

Recently, a senior manager in analytics in one my client companies, a very large business house indeed, was infatuated with the idea that AI can eventually take over human intelligence. That was surprising because he is not a teenager looking for cheap excitement or someone who does not know what analytics is about.

In fact, he has a pedigree of working for one of the largest analytics companies in the world before he joined my client company. Until now, I thought this idea is for Hollywood filmmakers who are short on creativity. But I think it is better to put this into right perspective as folks are churning enormous hype about AI, confusing everyone as usual.

AI means different things to different people. Some visualise machines working for their own purposes like in Terminator movies. Others imagine something like Watson that is so intelligent that it has solutions to all kinds of problems of mankind. Yet, to some data scientists, it means a piece of python code or a software package which they can run every day to earn a living.

But we can broadly divide AI into two streams: Generalised AI, which we call as Machine Learning (ML) and Applied AI, which focuses on replicating human behavior, such as making robots.

In either of the cases, it is a computer program of a higher order and nothing else!

Let me explain. In programming, we define what a program has to do. We then input data and get an output. We look at the output and if its not satisfactory enough, we go and correct the program. Now, what if, the program itself can look at the output and improve for itself? That is MLor generalised AI. But how does it do that?

Suppose you want to guess the next product a customer is going to buy on Amazon or anywhere else based on her activity until now. If you are a predictive modeler from econometric school, you would want to look at all historical data and find out the factors that determine a customers behavior and use that learning to predict what this customer would do now in the near future.

In reality, these factors can be anything. It can be demographic factors such as her age, marital status, location, education, or occupation. Or it can be the offers of competing products available at that point in time. Or let us say, even the weather influencing her buying behavior, or just that she is frustrated with the results of the American presidential elections. And, lets not forget the influence of her boyfriend on her buying moods?

As we can see, the possibilities are many. And if we consider further possibilities of all the interactions of these different factors among themselves, which means each factor having a partial influence by itself and a combined influence along with some other factors, then the combinations become unmanageable to human attention.

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Artificial Intelligence versus humans, who will win? - YourStory.com

3 Reasons Why Artificial Intelligence Will Never Replace Sales Jobs – Inc.com

Worried that the rise of artificial intelligence technologies will make the role of the salesperson obsolete? Maybe you should be, but not if you focus on what really matters where sales, and customer relationships, are concerned. Embrace A.I. and you might find yourself becoming an even better salesperson.

How?

The following is from Justin Shriber, vice president of marketing, LinkedIn Sales Solutions.

Here's Justin:

Over the past year, A.I. has taken the world by storm. In 2016, A.I. startups saw record highs in deals and funding, while tech companies like Facebook, Amazon, and Google banded together to conduct A.I. research and promote best practices. A recent Bloomberg Terminal analysis even revealed that the number of companies mentioning "artificial intelligence" in their quarterly earnings has shot up from under 20 in 2014 to nearly 200 today.

While A.I. will improve the workplace (think virtual assistants), people worry it will also kill jobs. Manufacturing jobs have already been lost to automation, while self-driving cars and trucks are well on their way to replacing professional drivers. McKinsey reports that machines or robots can take over 49 percent of worker activities, such as stocking supermarket shelves, serving food at restaurants, and crunching numbers.

Even sales professionals, whose skill sets are in high demand, are fearful. Forrester predicts that one million B2B salespeople will lose their jobs to self-service e-commerce by 2020. If that prediction pans out, that's 20 percent of the B2B sales force, gone, three years from now. No wonder everyone is scared.

But let's be clear -- not all sales are the same. While some purely transactional sales positions will move to this self-serve model, jobs that involve selling "high consideration" products through a complex sales process will be enhanced, not replaced, by A.I.

Like other professions, sales involves some repetitive tasks that could be easily automated, and while A.I. will certainly change how we work, it will never replace all salespeople. In fact, it may actually make them better at their jobs. Here's why:

By automating mundane work, A.I. will save salespeople time

Automation is already starting to replace rote tasks, which benefits busy sales professionals. Calendly, for example, automatically schedules meetings and sends invites. This frees up salespeople's time for more important tasks that require critical thinking, such as crafting customized emails or teeing up a conversation with prospective buyers.

But let's take things a step further. One of the biggest challenges for sales professionals is prioritizing their time. Instead of guessing whether now is the best time to reach out, or keeping track of all correspondence with dozens of prospects, sales reps could rely on A.I. to determine when and how to take their "next best action" to move a deal forward.

Not all data is stored in computers

One of the most exciting possibilities of A.I. is its potential to analyze vast amounts of data. In the future, A.I. will seamlessly digest data and provide smart suggestions, such as prompting you to follow up with a prospective buyer after a phone call. We're already starting to see this kind of technology in its early stages.

For example, Salesforce's Einstein, a smart cloud analytics platform, learns your CRM data, email, calendar, social, ERP, and IoT, and delivers predictions and recommendations based on your goals. It can even suggest next steps if it detects a change in customer sentiment.

If selling enterprise software were as simple as processing data from a single source and spitting out the optimal decision, we'd all be toast. Luckily, it's not. Data that informs these decisions comes from all kinds of sources, including the human brain.

Great sales professionals can read the room, connect the dots, and make sense of the intangibles that make each deal unique. Statistics do inform purchasing decisions, but reason has its limitations. Other types of data that humans excel at -- like observing others' emotions and body language and reacting immediately -- still factor in.

Relationships still drive business

Enterprise sales is high stakes by nature. Deals often exceed six figures, and, on average, 6.8 people are involved in the buying process. This means several people's careers and reputations are on the line if something goes wrong. I've seen people fired over poor technology decisions or deployments. Unsurprisingly, risk makes people uneasy. That's why a salesperson's job is so crucial.

When it comes down to making a huge purchasing decision, buyers need to trust their sellers. They want to meet that person and ask questions; they want to make sure their fears, hesitations, and needs are understood. In an ideal buyer-seller relationship, sales professionals make their buyers feel informed, secure, and comfortable with the product. Emotional intelligence is therefore crucial to the process.

Because sales touches on deep emotions like trust and empathy, it's one of the biggest reasons salespeople will never lose their jobs to machines. Robots still haven't grasped natural language understanding, let alone the subtle nuances of emotions. Amazon's Alexa and Apple's Siri, for instance, rely on predefined scripts and are easily baffled by simple questions.

While A.I.'s ability to interpret language and emotion will definitely improve, it's unlikely it will ever fully replace the human ability to connect and build trust.

Over the past few years, machines have made great strides in becoming more human-like, from walking on two legs to understanding language. But humans are complex creatures who have evolved over six million years. By comparison, machines are in their infancy. While A.I. will take over some transactional sales positions, it won't replace sellers who manage intricate, multimillion-dollar deals involving executive stakeholders.

Many job functions that require human connection, like sales, just aren't that easy to replace.

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3 Reasons Why Artificial Intelligence Will Never Replace Sales Jobs - Inc.com