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Google Answers How to Optimize for BERT – Search Engine Journal

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Google’s John Mueller answered a question about what to do to optimize for the BERT algorithm. Google has maintained that there is “nothing to optimize for.” Mueller offered a more nuanced answer that offered a little more information to publishers who are concerned about BERT.

BERT Algorithm

The BERT algorithm is a way to understand text. So rather than analyzing text in the sense of matching keywords, BERT helps Google understand the topics and concepts behind sentences, paragraphs and search queries.

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So it’s kind of like the difference between matching words and understanding words.

Google’s blog post explanation,  Understanding Searches Better than Ever Before , arguably falls short for publishers and those in the search community. Google’s post was written as an explanation to users of Google’s search engine and not so much for publishers.

Related: BERT Explained: What You Need to Know About Google’s New Algorithm

How to Optimize for BERT?

Danny Sullivan suggested to the SEO community that there was nothing to optimize for other than to write content for users.

Google’s John Mueller expanded on Danny’s advice. He doesn’t contradict Danny but rather gives more details.

The question posed to John Mueller was:

Will you tell me about the Google BERT Update? Which types of work can I do on SEO according to the BERT algorithms?

Mueller began his explanation by relating what the purpose of the BERT algorithm is:

I would primarily recommend taking a look at the blog post that we did around this particular change.

In particular, what we’re trying to do with these changes is to better understand text.

Which on the one hand means better understanding the questions or the queries that people send us.

And on the other hand better understanding the text on a page.

The queries are not really something that you can influence that much as an SEO.

John then offered his explanation on what a publisher can do with text content:

The text on the page is something that you can influence. Our recommendation there is essentially to write naturally.

So it seems kind of obvious but a lot of these algorithms try to understand natural text and they try to better understand like what topics is this page about.

What special attributes do we need to watch out for and that would allow use to better match the query that someone is asking us with your specific page.

So, if anything, there’s anything that you can do to kind of optimize for BERT, it’s essentially to make sure that your pages have natural text on them…

Mueller then began to say something but stops before he completes his sentence:

“..and that they’re not written in a way that…”

Mueller stops for a second, takes a breath, then appears to not finish the above thought.  He then begins a new sentence:

“Kind of like a normal human would be able to understand.  So instead of stuffing keywords as much as possible, kind of write naturally.”

Related: How Will Google BERT Impact Your Content Strategy?

Relevance Signals

I saw a Facebook post the other day where someone related his opinion that fixing algorithm updates often comes down to fixing issues with authority and relevance. I agree with that observation 100% because that’s been my experience for the past several years.

Most of the major algorithm updates where Google tells us what changed revolves around relevance. BERT, Rank Brain and Neural Matching were all about understanding language and that is all about relevance.  They all touch on understanding what text means.

Yet according to Google there’s nothing to optimize for other than writing naturally. One takeaway that I find interesting is that John Mueller cautioned against keyword stuffing.

I know some will respond to Mueller’s advice with smug eye rolls as they reach for another keyword to SEO with.

But I’ve been doing SEO for twenty years and in my opinion what Mueller said has some deeper implications, particularly to those who have lost rankings in recent updates.

In my work providing solutions for clients that lost rankings, a common issue is the one about relevance. Relevance becomes an issue because so many publishers tend to focus too hard on keywords and not enough on relevance signals.

Watch the Google Webmaster Hangout here:

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Nothing Ear And Nothing Ear (a) Earbuds Are 1st With ChatGPT Integration – Forbes

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London-based Nothing Tech has just launched new earbuds, two pairs, in fact. The Nothing Ear and more affordable Nothing Ear (a) have just gone on sale—you can read Forbes contributor Mark Sparrow’s review of both pairs here. And now, the company has announced a cool new feature: and industry-first integration with ChatGPT. It comes with strings, though.

The new earbuds have just been announced and are available to pre-order from nothing.tech now and go on sale from Monday, April 22. If you’re in London, and you want to be among the very first to get the earbuds, you can snap them up in the Nothing Store Soho a little bit sooner, from Saturday, April 20 (click-and-collect is available).

From launch, the company said, “it will enhance its overall user experience with industry-first ChatGPT integrations in its audio and smartphone products.”

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Nothing goes on that it wants “to advance consumer tech products’ transition to AI, as well as simplify and enhance the user experience.”

It means users will be able to pinch the earbud to directly speak to ChatGPT to ask questions and hear responses in the earbuds. Nothing is also introducing new elements to Nothing phones, such as widgets which make it easy to talk to ChatGPT on the handsets. Other features include being able to send screenshots directly to ChatGPT and a clipboard shortcut for sending text.

So, what are the catches?

Although the Bluetooth new earbuds will work with any iPhone or Android phone, and there are dedicated Nothing apps for each platform, the ChatGPT integration is more limited for now.

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The earbuds must be paired with a Nothing handset. From today, the feature works with the premium model, the Nothing Phone (2), providing it’s running the latest software. The earlier Nothing Phone (1) and more recent, more affordable model, Nothing Phone (2a) will need to wait for a software update, which Nothing says is “coming soon”.

Also coming in the future is compatibility with earlier Nothing earbuds, that is the Ear (1), Ear (2) and Ear (Stick).

The new earbuds are very keenly priced. Ear costs $149 (£129 in the U.K.), while Ear (a) is $99 (£99 in the U.K.). Both pairs have active noise-cancelling, which is not commonplace at this price point. The more expensive Ear has a wireless charging case and a feature to create a personal sound profile. Both pairs come in black and white finishes, with Nothing’s trademark transparent design in the earbuds and charging case. But the Nothing Ear (a) has an eye-catching extra: a tremendous yellow-finish option.

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U of T Engineering PhD student is working to improve the sustainable treatment of Ontario's drinking water – U of T Engineering News – U of T Engineering News

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Growing up in a small neighbourhood in Cameroon, Maeva Che (CivMin PhD student) was aware of challenges of accessing clean drinking water. 

“Experiencing that exposure to water issues and challenges with sustainable access to safe drinking water ignited my interest in water treatment,” Che says.  

Che’s drive to improve water quality around the globe brought her to the Drinking Water Research Group (DWRG) at University of Toronto’s Faculty of Applied Science & Engineering, where she is researching innovative solutions to address local water issues.  

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Che is working under the supervision of Professor Ron Hofmann (CivMin), who is a member of the DWRG. Her research focuses on removing unpleasant taste and odour compounds in Ontario’s drinking water by promoting the biodegradation of these compounds through granular activated carbon (GAC) filtration. 

The project is supported by a five-year Natural Sciences and Engineering Research Council of Canada (NSERC) Alliance grant called Advanced and Emerging Issues in Drinking Water Treatment. 

GAC filtration is a water treatment process that uses granular activated carbon, which is made from organic materials that are high in carbon, such as wood, coal or coconut shells. These materials are heated in the absence of oxygen through a process known as pyrolysis and prompted chemically or physically to produce the activated carbon. The activation enhances the material’s adsorption properties, making it productive to remove contaminants from water.  

While GAC filtration is an effective treatment process, its adsorptive capacity is limited. The adsorptive capacity of GAC is expected to become exhausted after about three years in service and drinking water treatment utilities must replace the GAC. Aside from the inconvenience, replacing GAC is costly.  

Che is working on alternative ways to remove contaminants using GAC filtration, specifically through biodegradation. When the filtration has been in service for a while, there is the growth of micro-organisms on the GAC, which can be useful for removing contaminants.   

PhD student Maeva Che works with filtration systems research at the Drinking Water Lab in the Department of Civil & Mineral Engineering. (photo by Galina Nikitina)

“Think of biodegradation as the useful bacteria on the GAC feeding on the contaminants in the water, thereby removing them,” says Che. 

“If the GAC has enough good bacteria that is biodegrading the compounds, the GAC may not need to be replaced when its adsorptive capacity becomes exhausted. This can extend the filter’s lifetime, resulting in cost benefits for treatment utilities.” 

In other words, biodegradation can potentially enhance the performance of GAC filters. 

Che and the DWRG will collaborate with water treatment plants to determine methods that can enhance the biodegradation of taste and odour compounds within their GAC filters.  

Currently in its initial phase, the project is taking place alongside the Peterborough Utilities Group’s drinking water treatment plant, where Che is conducting pilot-scale filtration studies with support from the Peterborough Utilities Commission. They plan to extend this research to other partner treatment plants in the future. 

Working with various water treatment plants across Ontario, Che will also assess the effectiveness of GAC filters in removing non-traditional taste and odour compounds, which are not commonly monitored. 

To achieve this, she’ll evaluate filter performance for two common taste and odour compounds — 2-methylisoborneal and geosmin — and eight additional non-traditional compounds that can cause taste and odour events. This involves collecting GAC and water samples from the plants and conducting lab-scale filtration tests, called minicolumn tests. This test, developed by the DWRG, allows to differentiate between adsorption and biodegradation in GAC filters. 

Minicolumn tests provide crucial insights into the performance of the GAC filters in terms of the adsorption and biodegradation of contaminants. To distinguish between these mechanisms, researchers use parallel minicolumns. One minicolumn operates under conditions where the biological activity of micro-organisms is suppressed, which isolates the adsorption process. The second minicolumn operates without biological suppression, allowing both adsorption and biodegradation to occur. 

“Many plants are unaware of their filters’ performance for other compounds, aside from the two common ones, that also contribute to taste and odour events in water. Our project, therefore, plays a crucial role in expanding the understanding of this,” Che says. 

Project partners include the Ajax Water Supply Plant and the Barrie Surface Water Treatment Plant.  

The DWRG is made of approximately 30 graduate students, post-doctoral fellows, research managers and associates who collaborate with local, national and international industry and government organizations to address a wide range of projects related to municipal drinking water. 

Che credits her experience as a master’s student with the research group as a major factor in her decision to pursue a PhD at the University of Toronto.  

“During my master’s degree with the DWRG, I worked on projects that improved drinking water quality, gaining hands-on experience at treatment plants. Seeing the results of my research reinforced my decision to pursue my PhD here,” Che says. 

Ultimately, Che hopes to make a significant impact in the field — and the DWRG provides opportunities to achieve this, with a supportive community of researchers and supervisors.  

“My goal is to continue researching and developing sustainable solutions for drinking water treatment that benefit communities in need,” she says. 

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Huawei's latest flagship smartphone contains no world-shaking silicon surprises – The Register

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When Huawei debuted its Mate 60 smartphone in mid-2023, it turned heads around the world after teardown artists found it contained a system-on-chip manufactured by Chinese chipmaker Semiconductor Manufacturing International Corporation (SMIC) using a 7nm process.

SMIC was thought not to be able to build that sort of thing. So while the Mate 60 didn’t differ markedly from every other modern smartphone, its very existence called into question the effectiveness of US-led efforts to prevent advanced chipmaking tech reach the Middle Kingdom.

Much speculation has therefore concerned what Huawei would deliver next, and this week the world got its answer – in the form of the Pura 70.

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Chinese media report that early users of the device have posted details of its innards, naming the SoC as Kirin 9010 with four efficient cores running at 1.55GHz, half a dozen performance cores at 2.18GHz, and a couple of high-performance cores zipping along at 2.30GHz. All cores are Arm v8. A third-party spec sheet suggests it’s a 7nm chip – meaning Chinese chipmakers appear not to have made another unexpected advance.

Early tests suggest it outperforms the Kirin 9000 found in the Mate 60, but independent assessments are yet to emerge. The crowdsourced evaluations currently available are sometimes dubious.

What we can say with confidence is that the Pura 70 has a 6.6-inch OLED display with 120Hz refresh rate and resolution of 2,760 x 1,256. It has 12GB RAM aboard, and buyers can choose from 256GB, 512GB, or 1TB of storage.

The three rear-facing cameras on the base models can capture 50, 12, and 13 megapixels apiece.

The Pura range derives from Huawei’s P-Series handsets that stretched from the midrange to the low-end of premium, but are now focussed – pardon the pun – on photography enthusiasts. The device comes on four variants, each priced to match the four editions of Apple’s iPhone 15.

The screen on the high-end “Ultra” model grows to 6.8 inches and 2,844 × 1,260 pixels, with two rear cameras that shoot at 50 megapixels and one at 40. One of the 50MP snappers is retractable, to enhance its zooming powers.

Importantly, all models of the Pura 70 run HarmonyOS 4.2 – Huawei’s not-Android operating system.

China is all-in on HarmonyOS as the nation pursues indigenous alternatives to Western tech. In recent weeks Chinese media and government agencies have noted the growing proliferation of native HarmonyOS apps, trumpeting that developer enthusiasm for the platform means local buyers now have a more patriotic alternative.

That alternative appears to be welcome: after the debut of the Mate 60, analyst firm IDC saw Huawei’s smartphone market share improve by 36.2 percent. ®

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