Research papers come out far too rapidly for anyone to read them all, especially in the field of machine learning, which now affects (and produces papers in) practically every industry and company. This column aims to collect the most relevant recent discoveries and papers — particularly in but not limited to artificial intelligence — and explain why they matter.
The topics in this week’s Deep Science column are a real grab bag that range from planetary science to whale tracking. There are also some interesting insights from tracking how social media is used and some work that attempts to shift computer vision systems closer to human perception (good luck with that).
ML model detects arthritis early
One of machine learning’s most reliable use cases is training a model on a target pattern, say a particular shape or radio signal, and setting it loose on a huge body of noisy data to find possible hits that humans might struggle to perceive. This has proven useful in the medical field, where early indications of serious conditions can be spotted with enough confidence to recommend further testing.
This arthritis detection model looks at X-rays, same as doctors who do that kind of work. But by the time it’s visible to human perception, the damage is already done. A long-running project tracking thousands of people for seven years made for a great training set, making the nearly imperceptible early signs of osteoarthritis visible to the AI model, which predicted it with 78% accuracy three years out.
The bad news is that knowing early doesn’t necessarily mean it can be avoided, as there’s no effective treatment. But that knowledge can be put to other uses — for example, much more effective testing of potential treatments. “Instead of recruiting 10,000 people and following them for 10 years, we can just enroll 50 people who we know are going to be getting osteoarthritis … Then we can give them the experimental drug and see whether it stops the disease from developing,” said co-author Kenneth Urish. The study appeared in PNAS.
Using acoustic monitoring to preemptively save the whales
It’s amazing to think that ships still collide with and kill large whales on a regular basis, but it’s true. Voluntary speed reductions haven’t been much help, but a smart, multisource system called Whale Safe is being put in play in the Santa Barbara channel that could hopefully give everyone a better idea of where the creatures are in real-time.
The system uses underwater acoustic monitoring, near-real-time forecasting of likely feeding areas, actual sightings and a dash of machine learning (to identify whale calls quickly) to produce a prediction for whale presence along a given course. Large container ships can then make small adjustments well-ahead of time instead of trying to avoid a pod at the last minute.
“Predictive models like this give us a clue for what lies ahead, much like a daily weather forecast,” said Briana Abrahms, who led the effort from the University of Washington. “We’re harnessing the best and most current data to understand what habitats whales use in the ocean, and therefore where whales are most likely to be as their habitats shift on a daily basis.”
Incidentally, Salesforce founder Marc Benioff and his wife Lynne helped establish the UC Santa Barbara center that made this possible.
Google December Product Reviews Update Affects More Than English Language Sites? via @sejournal, @martinibuster
Google’s Product Reviews update was announced to be rolling out to the English language. No mention was made as to if or when it would roll out to other languages. Mueller answered a question as to whether it is rolling out to other languages.
Google December 2021 Product Reviews Update
On December 1, 2021, Google announced on Twitter that a Product Review update would be rolling out that would focus on English language web pages.
Our December 2021 product reviews update is now rolling out for English-language pages. It will take about three weeks to complete. We have also extended our advice for product review creators: https://t.co/N4rjJWoaqE
— Google Search Central (@googlesearchc) December 1, 2021
The focus of the update was for improving the quality of reviews shown in Google search, specifically targeting review sites.
A Googler tweeted a description of the kinds of sites that would be targeted for demotion in the search rankings:
“Mainly relevant to sites that post articles reviewing products.
Think of sites like “best TVs under $200″.com.
Goal is to improve the quality and usefulness of reviews we show users.”
Continue Reading Below
Google also published a blog post with more guidance on the product review update that introduced two new best practices that Google’s algorithm would be looking for.
The first best practice was a requirement of evidence that a product was actually handled and reviewed.
The second best practice was to provide links to more than one place that a user could purchase the product.
The Twitter announcement stated that it was rolling out to English language websites. The blog post did not mention what languages it was rolling out to nor did the blog post specify that the product review update was limited to the English language.
Google’s Mueller Thinking About Product Reviews Update
Product Review Update Targets More Languages?
The person asking the question was rightly under the impression that the product review update only affected English language search results.
Continue Reading Below
But he asserted that he was seeing search volatility in the German language that appears to be related to Google’s December 2021 Product Review Update.
This is his question:
“I was seeing some movements in German search as well.
So I was wondering if there could also be an effect on websites in other languages by this product reviews update… because we had lots of movement and volatility in the last weeks.
…My question is, is it possible that the product reviews update affects other sites as well?”
John Mueller answered:
“I don’t know… like other languages?
My assumption was this was global and and across all languages.
But I don’t know what we announced in the blog post specifically.
But usually we try to push the engineering team to make a decision on that so that we can document it properly in the blog post.
I don’t know if that happened with the product reviews update. I don’t recall the complete blog post.
But it’s… from my point of view it seems like something that we could be doing in multiple languages and wouldn’t be tied to English.
And even if it were English initially, it feels like something that is relevant across the board, and we should try to find ways to roll that out to other languages over time as well.
So I’m not particularly surprised that you see changes in Germany.
But I also don’t know what we actually announced with regards to the locations and languages that are involved.”
Does Product Reviews Update Affect More Languages?
While the tweeted announcement specified that the product reviews update was limited to the English language the official blog post did not mention any such limitations.
Google’s John Mueller offered his opinion that the product reviews update is something that Google could do in multiple languages.
One must wonder if the tweet was meant to communicate that the update was rolling out first in English and subsequently to other languages.
It’s unclear if the product reviews update was rolled out globally to more languages. Hopefully Google will clarify this soon.
Google Blog Post About Product Reviews Update
Google’s New Product Reviews Guidelines
John Mueller Discusses If Product Reviews Update Is Global
Watch Mueller answer the question at the 14:00 Minute Mark
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