Information Management


History as a giant data set: how analysing the past could help save the future

The Guardian

In its first issue of 2010, the scientific journal Nature looked forward to a dazzling decade of progress. By 2020, experimental devices connected to the internet would deduce our search queries by directly monitoring our brain signals. Crops would exist that doubled their biomass in three hours. Humanity would be well on the way to ending its dependency on fossil fuels. It warned that all these advances could be derailed by mounting political instability, which was due to peak in the US and western Europe around 2020. Human societies go through predictable periods of growth, the letter explained, during which the population increases and prosperity rises. Then come equally predictable periods of decline. In recent decades, the letter went on, a number of worrying social indicators – such as wealth inequality and public debt – had started to climb in western nations, indicating that these societies were approaching a period of upheaval. The letter-writer would go on to predict that the turmoil in the US in 2020 would be less severe than the American civil war, but worse than the violence of the late 1960s and early 70s, when the murder rate spiked, civil rights and anti-Vietnam war protests intensified and domestic terrorists carried out thousands of bombings across the country. The author of this stark warning was not a historian, but a biologist.


How to Teach Kids About AI

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Ms. Payne, who does not have a background in education, developed the course of study with input from computer science teachers and researchers at the Harvard Graduate School of Education. Her "unplugged" curriculum mainly uses pen, paper and craft supplies so that teachers can adapt it for their classrooms, regardless of budget or technological know-how. Each 45-minute lesson typically includes a short lecture and demonstration, followed by a group activity and open-ended discussion. In one exercise, for example, students wrote an algorithm to build a better peanut butter and jelly sandwich. Ms. Payne plans to do a second run at several summer workshops in the Boston area, where children will get about four hours of AI education daily.


The Top 13 SEO Trends Gaining Popularity In 2019

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As 2019 kicks into gear, it's time to consider what will change in the digital marketing ecosystem this year and how it will affect you. Given that the digital marketing domain is constantly getting revamped with social media, SEO, content marketing, and PPC as the major players – it's hard to keep up with all of the changes. So, if you are anxious to know what is in store for you with SEO in 2019, here are 13 trends to be aware of. First in the list of interesting SEO trends that will emerge in 2019 is linked to the path-breaking concept called Artificial Intelligence (AI). AI is expected to revolutionize the way in which internet users conduct online research using keywords.


The role of machine learning in perfecting fraud management strategies

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Now that we've entered the largest retain season of the year, it is the perfect time to turn attention to cyber security defenses and fraud protection. Alarmingly, 96% of all ecommerce businesses have reported some form of fraud attack at their organization, with account takeover landing in the top three, according to Merchant Risk Council's 2019 Global Fraud Survey Results. Retailers need to prioritize proactive fraud management more than ever as the threat of fraudulent online activity continues to rise, especially as more consumers store payment, billing and shipping information with retailers directly. In order to catch fraudsters quickly and efficiently, retailers must consider the use of technology and machine learning – where it works, where it doesn't and where it's costing retailers. From new automated technologies to manual review processes, ensuring that these methods apply across all channels is vital, here's what retailers need to know in order to stay ahead of the fraud game.


Google BERT algorithm update impacts search & snippets

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Google named their algorithm update after my beloved Muppet, Bert, from Sesame Street. Choosing this world-renown name shows that Google has a sense of humour. They timed its release just before the TV show's 50th anniversary, which premiered on November 10, 1969. Launched on October 28, 2019, BERT impacts 1 in 10 searches, plus organic rankings and featured snippets. SEO companies are going to make big bucks to tell you what you need to do to your site to boost your online presence.


First Site Solutions-Web Design, App Development, Online Marketing, Video Production, Digital Products, all you need to the success of your business.

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Link Building is a part of Search Engine Optimisation and is usually referred to as Off-Page. Unlike, On-Page – Link building is an ongoing process. For the sake of not getting into a debate, I will call "on-page" - a onetime process). Link Building starts as soon as you finish on-page work on the website. In layman's language - Link building is a method to get references from other websites to your website.


Forecasting volatility with empirical similarity and Google Trends

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We forecast volatility using Google search frequency as measure of investor attention. We use a model of empirical similarity in an out-of-sample framework. Our model significantly outperforms conventional time-series models. Investor attention is a driver of volatility on short horizons. This paper proposes an empirical similarity approach to forecast weekly volatility by using search engine data as a measure of investors attention to the stock market index.


Julia Computing

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The field of medicine faces a global shortage of radiologists, combined with increasing workloads and complex diagnoses, leading to delays, missed findings and huge overtime expenses in healthcare. A radiologist will upload a scan and mark a region of interest. Each result is a full volume, so radiologists can scroll through or change the contrast or brightness. Radiologists can even restrict results based on age, gender or pathological findings in the report via text search. How does Julia help make this possible?


Google to help build open source, highly secure chips - Express Computer

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At a time when hackers develop sophisticated tools to perpetrate nation-state cyber attacks, Google along with its partners, has announced a new project to build open source, ultra secure chips. Called "OpenTitan," the first-ever open source silicon root of trust (RoT) project will help deliver high-quality chip design for use in data center servers, storage, smartphones and more. "Open sourcing the silicon design makes it more transparent, trustworthy, and ultimately, secure," Royal Hansen, Vice President, Google, said in a statement. The silicon RoT technology can be used in server motherboards, network cards, client devices (like laptops, phones), consumer routers and IoT devices. For example, Google has relied on a custom-made RoT chip, Titan, to help ensure that machines in Google's data centres boot from a known trustworthy state with verified code.


How Souping SEO Up With AI Leads To Win? » TechLogitic

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A couple of years back, Google uses rule-based logic to rank the websites where keyword hacks, legitimate backlinks, and content was enough to get to the top. Later, the era of opacity begins when the search giant brought revolutionary changes to the algorithms that are little-to-impossible for the SEO experts to exploit. Just major announcements like- switch to mobile indexing, emphasis on quality content, authoritative backlinks that add value to the user were revealed in public. It was the biggest shock to the SEO world that was even considered as black magic. And, Google continued to update its algorithm and pretty tight-lipped for the updates.