Freshwater Fish Can Do Math, New Study Suggests

A researcher from University of California, Davis catches hatchery salmon from a tank to measure their size, as part of a joint project between ecologists and rice farmers trying to reclaim the great flood plains of the Sacramento River for salmon habitat, in Robbins, California, US, February 4, 2022. REUTERS/Carlos Barria
A researcher from University of California, Davis catches hatchery salmon from a tank to measure their size, as part of a joint project between ecologists and rice farmers trying to reclaim the great flood plains of the Sacramento River for salmon habitat, in Robbins, California, US, February 4, 2022. REUTERS/Carlos Barria
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Freshwater Fish Can Do Math, New Study Suggests

A researcher from University of California, Davis catches hatchery salmon from a tank to measure their size, as part of a joint project between ecologists and rice farmers trying to reclaim the great flood plains of the Sacramento River for salmon habitat, in Robbins, California, US, February 4, 2022. REUTERS/Carlos Barria
A researcher from University of California, Davis catches hatchery salmon from a tank to measure their size, as part of a joint project between ecologists and rice farmers trying to reclaim the great flood plains of the Sacramento River for salmon habitat, in Robbins, California, US, February 4, 2022. REUTERS/Carlos Barria

Some primates, bees, birds, and now freshwater fish: the circle of animals with mathematical skills is widening. A recent study has found that some types of fish have mathematical abilities such as addition.

It’s scientifically proven that all vertebrates, and even some invertebrates have the ability to measure quantities- a vital function creatures need when searching for food, avoiding predators, moving in group, and mating.

But scientists are now investigating how these creatures can quantify: is it a simple estimate based of the object’s size, or they are actually able of doing accurate math? Former studies showed that some monkeys, parrots, pigeons, spiders, and bees are capable of processing numerical information, and even performing simple mathematical functions.

A recent study at the University of Bonn’s Institute of Zoology revealed that some types of fish such as cichlids, stingrays, and zebra mbuna have some math skills. The findings were published in the journal Scientific Reports.

Eight fish of each type underwent hundreds of tests in large tanks specially designed to monitor their performance. In the tanks, the fish were trained to associate the blue color with addition (+1), and the yellow color with subtraction (-1).

Then, the scientists spread cards featuring blue and yellow shapes, and made the fish choose from two sliding doors each featuring a card with different number of shapes; one of the two doors has the correct answer.

For instance, when a fish sees a card with three blue shapes, it is supposed to swim towards the door with the card featuring four blue shapes as blue refers to addition. On the contrary, if the fish sees a card featuring four yellow shapes, it should head towards the door with the card featuring three yellow shapes, one shape lesser than the original card, as yellow refers to subtraction.

When the fish passed through the correct door, it was rewarded with its favorite food. The study showed that six of the mbuna fish and four stingrays successfully linked blue to (+1), and yellow to (-1).

According to researchers, the mbuna fish needed more time to select the door, and mbunas and stingrays remembered addition more easily than subtraction.

The researchers said their work unveils new cognitive abilities that could help mbunas and stingrays recognize other fishes from the same species based on their appearance, by counting the lines or spots on their bodies.



Gulf States Unveil Efforts to Develop AI Tools to Combat Fake News

Dr. Preslav Nakov (LinkedIn)
Dr. Preslav Nakov (LinkedIn)
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Gulf States Unveil Efforts to Develop AI Tools to Combat Fake News

Dr. Preslav Nakov (LinkedIn)
Dr. Preslav Nakov (LinkedIn)

One of the significant challenges facing researchers in artificial intelligence (AI) development is ensuring objectivity amid the rapid and ever-increasing flow of information online. With numerous tools now available to disseminate diverse data and information, it has become increasingly difficult for audiences to distinguish between truth and propaganda on one hand and between objective journalism and biased framing on the other.
This has underscored the growing importance of technologies designed to analyze, detect, and filter vast amounts of data. These tools aim to curb the spread of misinformation, combat rumors and fake news, and make the internet a safer space for sharing and accessing accurate information.
Fake news is defined as media content created and published with the intent to mislead or manipulate public opinion, often for political, economic, or social purposes. The methods for creating fake news range from simple manipulation of facts to sophisticated techniques like deepfakes, further complicating efforts to identify them.
In Abu Dhabi, Dr. Preslav Nakov, a professor and chair of Natural Language Processing at Mohamed bin Zayed University of Artificial Intelligence, is leading innovative efforts to develop AI technologies, particularly in analyzing the methods used in media to influence public opinion.
Among his most notable contributions is the development of FRAPPE, an interactive tool for global news analysis. FRAPPE provides comprehensive insights into the persuasive and rhetorical techniques employed in news articles, enabling users to gain a deeper understanding of diverse media contexts. According to Nakov, FRAPPE helps users identify how news is framed and presented in different countries, offering a clearer perspective on divergent media narratives.
FRAPPE’s capabilities also extend to analyzing media framing methods. Nakov explains that the tool allows users to compare how different media outlets address specific issues. For instance, one outlet in a particular country might emphasize the economic implications of climate change, while another focuses on its political or social dimensions.
AI is the cornerstone of FRAPPE’s functionality, enabling the tool to analyze complex linguistic patterns that influence readers’ opinions.
In a discussion with Asharq Al-Awsat, Nakov highlighted the tool’s capabilities, noting that AI in FRAPPE is fundamental to analyzing, classifying, and detecting intricate linguistic patterns that shape readers’ perceptions and emotions. He explained that the application uses AI to identify propaganda and persuasion techniques such as insults, fear-based language, bullying, exaggeration, and repetition. The system has been trained to recognize 23 subtle techniques often embedded in real-world media content.
Ensuring objectivity and reducing bias are among the main challenges in developing AI tools like FRAPPE. Nakov explains that FRAPPE focuses on analyzing the language used in articles rather than evaluating their accuracy or political stance.
To date, FRAPPE has analyzed over two million articles on topics such as the Russia-Ukraine war and climate change. The tool currently supports content analysis in 100 languages, with plans to expand its capabilities to additional languages and enhance the accuracy of its analyses, further strengthening its ability to comprehend global media patterns.