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Canine Cognitive Abilities: Memory, Intelligence, and Human Interaction

Research on canine cognition shows that dogs have impressive memory retention, which helps them recognize faces, remember commands, and understand their environment.

Ajith Madhavan

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Image: Lazyboness from Pixabay

Dogs are renowned for their ability to adapt and respond to various situations. One of the key features of their intelligence is their memory and how they utilize past experiences to navigate new circumstances. Dogs not only remember specific events but also use those memories to make decisions in future situations. Research on canine cognition shows that dogs have impressive memory retention, which helps them recognize faces, remember commands, and understand their environment. When faced with a new scenario, they often recall previous similar experiences and apply those learnings effectively.

Understanding Human Cues: A Result of Evolution

Dogs’ remarkable ability to understand human cues—whether through body language, vocal tones, or facial expressions—is another significant aspect of their cognitive prowess. Over thousands of years of domestication, dogs have learned to interpret human signals, making them highly attuned to the needs and intentions of their human companions. This phenomenon is often attributed to the domestication hypothesis, which suggests that dogs have evolved alongside humans and, in doing so, developed the ability to read and respond to human cues.

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Image: Zigmars Berzins from Pixabay

However, some researchers argue that dogs’ ability to understand human cues might not solely stem from domestication. There is a possibility that dogs’ social intelligence could be a result of convergent evolution, where dogs’ cognitive abilities have evolved similarly to those of social animals like primates, despite not sharing a direct evolutionary path. This perspective is still debated in the field, but it underscores the complexity of understanding the roots of canine cognition.

Cognitive Categories in Dogs: Classifying Intelligence

Dogs’ cognitive abilities can be broken down into various categories that reflect the diversity of their intelligence. These categories help researchers study the different aspects of how dogs think, learn, and behave. Some of the key categories include:

• Spatial Intelligence: Dogs possess a strong sense of spatial awareness, allowing them to navigate their environment effectively. They can remember the locations of objects such as toys, food bowls, and leashes. This spatial awareness also extends to their ability to assess distances and understand their surroundings. While most dogs develop this intelligence naturally, some may need training to enhance their spatial skills.

• Intrapersonal Intelligence: This refers to a dog’s ability to understand its own physical abilities, limitations, and needs. For example, a dog might avoid attempting an action, such as jumping over a large gap, if it perceives it to be beyond its capabilities. This form of intelligence reflects the dog’s self-awareness, although the level of this awareness may differ from that seen in humans. Dogs might not have conscious self-reflection, but their behavior indicates an understanding of their limits.

• Interpersonal Intelligence: Dogs are highly social animals, and their interpersonal intelligence is reflected in their ability to communicate with both humans and other dogs. They can interpret social cues and respond accordingly, forming strong bonds with their human families and understanding the dynamics of their social group. This intelligence is particularly evident in their interactions with humans, where they not only respond to verbal commands but also tune into human emotions, following social hierarchies and giving appropriate responses. For example, dogs can respond to human emotions by offering comfort or adjusting their behavior based on the emotional state of their human companions.

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The Role of Human-Dog Interaction in Cognitive Development

Dogs’ cognitive abilities, including their ability to understand human emotions, are likely a product of their long history of living alongside humans. Studies show that dogs can often read the intentions of humans, making them exceptionally skilled at interpreting social cues. This human-dog bond has shaped dogs’ social intelligence, allowing them to be highly responsive to the emotional and social cues provided by humans. For instance, when a human expresses frustration or joy, a dog can often sense the change in mood and react accordingly, whether by offering comfort or simply adjusting their behavior.

Interestingly, some studies suggest that domestic dogs might lose some of their problem-solving abilities when raised solely in human environments. This loss might occur because dogs begin to rely on human intervention for problem-solving, rather than using their independent cognitive skills. However, with appropriate training and stimulation, many dogs can retain or even develop complex problem-solving abilities.

Variations and Training

Just as with humans, not all dogs display the same level of cognitive abilities. Some dogs might struggle with spatial awareness or might not respond to certain social cues as effectively as others. This is particularly evident in some breeds or individual dogs that may require additional training to enhance these skills. Spatial awareness, for example, might be challenging for dogs that were not raised in environments where they had to navigate complex spaces. Training exercises can help improve these cognitive areas, allowing the dog to become more aware of its surroundings and capable of responding appropriately.

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The Kombai or Polygar is a breed of working dog native to Tamil Nadu in Southern India. Credit: Ajith Madhavan

Moreover, self-awareness or intrapersonal intelligence can also vary among dogs. While some dogs might instinctively understand their physical limitations (e.g., recognizing when they can’t jump a certain height), others may require repeated experiences to learn these boundaries.

Complex and Multifaceted

Overall, dogs exhibit a wide range of cognitive abilities that demonstrate both adaptive intelligence and social prowess. Their ability to learn, remember, and apply past experiences to new situations showcases their problem-solving skills, while their social intelligence allows them to communicate effectively with humans and other dogs. While there is still much to learn about the origins and evolution of canine intelligence, it is clear that dogs have evolved to become highly adept at interpreting the world around them, both physically and socially.

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Image: Anja from Pixabay

The domestication of dogs, along with their interaction with humans, has contributed significantly to the development of their cognitive abilities. These abilities are not only a result of their domesticated lives but also a product of their evolutionary adaptation to social living, both with humans and other animals. Understanding these cognitive abilities in dogs helps deepen the bond between dogs and humans and enriches our appreciation for these remarkable companions.

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Math

The 2026 Fields Medals: Four Proofs, Four Decades-Old Problems Solved

The 2026 Fields Medal honours Yu Deng, John Pardon, Jacob Tsimerman and Hong Wang for solving some of mathematics’ longest-standing problems.

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2026 Fields Medal Winners: Four Mathematicians Who Solved Decades-Old Problems
Yu Deng, Jacob Tsimerman, John Pardon, and Hong Wang. Image credit/International Mathematical Union. Illustration by EdPublica

2026 Fields Medal winners Yu Deng, John Pardon, Jacob Tsimerman and Hong Wang were honoured for solving mathematical problems that had challenged researchers for decades. From Hilbert’s Sixth Problem to the Kakeya conjecture, their breakthroughs are reshaping modern mathematics.

Every four years, the International Mathematical Union hands out the closest thing mathematics has to a Nobel Prize. The Fields Medal comes with a modest cheque — 15,000 Canadian dollars, worth about US$10,600, a sum untouched since 2006 — and a gold medal stamped with the head of Archimedes. Nobody wins it for the money. They win it because a committee of the world’s leading mathematicians has decided that, sometime before their 40th birthday, they cracked something the rest of the field had been stuck on for years, sometimes decades.

This year’s ceremony, held on 23 July at the International Congress of Mathematicians in Philadelphia — the first time the congress has met in the United States since 1986 — went to four mathematicians: Yu Deng of the University of Chicago, John Pardon of Stony Brook University, Jacob Tsimerman of the University of Toronto, and Hong Wang of New York University and the Institut des Hautes Études Scientifiques in France. Wang is only the third woman to win the medal since it was first awarded in 1936, following Maryam Mirzakhani in 2014 and Maryna Viazovska in 2022. Deng and Wang are also the first Chinese-born mathematicians to win since Shing-Tung Yau in 1982.

2026 Fields Medal Winners: Four Mathematicians Who Solved Decades-Old Problems

Each of the four solved a problem that had outlasted its original solvers by a human generation or more. Here is what they actually did, and why it matters.

Yu Deng: connecting Newton to the weather

2026 Fields Medal Winners; Yu Deng: connecting Newton to the weather

In 1900, the mathematician David Hilbert drew up a list of 23 problems he thought would define the coming century of mathematics. The sixth asked for something that sounds almost philosophical: a way to show, with full mathematical rigour, that the everyday physics of gases and fluids can be derived from the motion of individual particles bouncing off each other according to Newton’s laws.

Physicists had a working answer since the 1870s. Ludwig Boltzmann proposed an equation describing how a cloud of colliding particles settles into predictable statistical behaviour, and decades later, other equations described how that gas behaves as a continuous fluid — the same mathematics used to model weather systems and airflow over a wing. The trouble was the middle step. Nobody could prove that Boltzmann’s equation actually follows from Newton’s laws once you let the collisions run for a realistic length of time. An attempt in 1975 by the mathematician Oscar Lanford got partway there, but only for a fleeting initial period, before particles had the chance to collide with each other more than once.

Deng, working with Zaher Hani and Xiao Ma, closed that gap. Starting from a large number of hard spheres bouncing elastically inside a bounded space, they showed that even once particles start colliding with each other repeatedly — which happens constantly in any real gas — the overall statistical picture Boltzmann predicted still holds. They then carried the argument one step further, showing it leads to the equations that describe fluids as a continuous medium. For the first time, a straight mathematical line runs from a box of colliding billiard balls to the equations meteorologists use to predict tomorrow’s weather.

Deng had built toward this for years, having already proved — with Hani — that a related equation describing ocean and atmospheric waves emerges correctly from the underlying wave physics. Colleagues describe his working method as having less to do with sudden insight than with total command of the calculation: one collaborator recalled him reciting 200 pages of computation from memory. The Fields committee cited him for “the rigorous derivation of the Boltzmann equation from hard-sphere dynamics for rarefied gases,” alongside his work on wave equations and the mathematics of the Schrödinger equation.

John Pardon: curves, knots, and a 20-year-old disagreement

2026 Fields Medal Winners. John Pardon: curves, knots, and a 20-year-old disagreement

Pardon’s Fields Medal recognises work spread across several corners of geometry and topology, but the throughline is a knack for finding exactly the right structure to settle an argument that had stalled.

His first major result came as a Princeton undergraduate, when he answered a question the mathematician Mikhail Gromov had posed about how badly a knot can be distorted — essentially, how much you have to stretch and twist a loop of string to untangle it — a problem that had sat unsolved for more than two decades. He wrote the proof after a walk in an English park during a summer break; his Stony Brook colleague Simon Donaldson has said it is short enough to sit down and read in one sitting.

His most recent major achievement is in a very different area: counting curves. In string theory, physicists model the extra, curled-up dimensions of the universe using shapes called Calabi–Yau threefolds. Mathematicians had developed several competing methods for counting the curves that can be drawn on these shapes, and in 2006 a group of researchers — Maulik, Nekrasov, Okounkov and Pandharipande — conjectured that two of these methods, despite looking completely different, always produce the same answer. Pardon proved they were right, closing a conjecture that had stood for nearly 20 years and that touches on questions in representation theory and quantum physics as well as pure geometry.

In between, Pardon built new mathematical machinery — including a rigorous way to define “virtual fundamental cycles,” a technical tool symplectic geometers had relied on informally for years without a fully solid foundation — and made progress on the 70-year-old Hilbert–Smith conjecture, about which kinds of mathematical groups can act on ordinary space. The Fields committee’s citation runs through all of it: “achievements in symplectic geometry including new approaches to virtual fundamental cycles, Fukaya categories of certain manifolds and counting holomorphic curves,” and contributions to “group actions on 3-manifolds and knot theory.”

Jacob Tsimerman: finding order in scattered points

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Tsimerman’s medal centres on a problem he first encountered as a Princeton graduate student and never really left: the André–Oort conjecture, which concerns certain “special points” that turn up inside geometric spaces used to encode deep arithmetic information — the kind of spaces number theorists use to study elliptic curves and modular forms. The conjecture predicted that these special points can’t scatter randomly; wherever they cluster, there has to be a hidden algebraic reason.

Proving it meant reaching outside number theory entirely, into a branch of mathematical logic called o-minimality, which had mostly been used to describe well-behaved geometric shapes rather than to prove theorems in arithmetic. Tsimerman, working with several collaborators over more than a decade, showed that o-minimal methods could be turned into genuine tools for algebraic and arithmetic geometry — recasting a fairly obscure logical framework into one of the sharper instruments in the field. Along the way, he and his collaborators Benjamin Bakker and Yohan Brunebarbe also proved the Griffiths conjecture, a separate longstanding problem about when certain geometric maps must be algebraic rather than merely analytic, and developed a set of techniques nicknamed “o-minimal GAGA” that let mathematicians detect hidden algebraic structure in spaces that don’t obviously have any.

Colleagues describe him as unusual in combining two different temperaments: he is, as his doctoral adviser Peter Sarnak put it, both “a problem solver and a theory builder” — someone who chases a specific hard question to the end, and also builds the general-purpose machinery that outlives the original problem. The Fields committee credited him “for his contribution in the recasting of o-minimality as a fundamental method of arithmetic and complex algebraic geometry, and his role in the proof of many central conjectures including Griffiths’ conjecture… and the André–Oort conjecture for Siegel modular varieties.”

Hong Wang: how small can a needle’s path be?

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The Kakeya problem started as a puzzle. In 1917, the Japanese mathematician Sōichi Kakeya asked: what is the smallest area in which you can rotate a needle a full 180 degrees, so that it points in every direction at some point during the rotation? The surprising answer, worked out not long after, is that the area can be made arbitrarily small — the needle can sweep through every direction while confined to a spiky, star-shaped region with almost no area at all.

That answer only deepened the underlying question, which mathematicians have spent a century turning into one of the hardest open problems in the field: if a set has to contain a full line segment pointing in every possible direction, how “thin” can it possibly be? In three-dimensional space, the conjecture held that such a set could have zero volume, but could never be less than three-dimensional in a more technical sense involving something called Hausdorff dimension — it could be thin, but not too thin. Despite real progress by several mathematicians over the decades, including some announced proofs that were later found to contain errors, a full proof in three dimensions had eluded everyone who tried it.

In February 2025, Wang and her collaborator Joshua Zahl posted a 127-page proof settling the three-dimensional case. Wang had picked up the trail during the pandemic, working from a strategy the mathematician Terence Tao had sketched in a 2014 blog post but never carried through. She and Zahl spent months quietly checking their own argument — sending it to a handful of trusted colleagues before making it public, still worried less that it contained an error than that it might simply be unclear. It wasn’t. Nets Katz, another mathematician who had spent years on the same problem, called it “a once-in-a-century kind of result.”

The proof’s significance runs beyond the needle puzzle itself. The Kakeya conjecture sits at a junction between geometric measure theory, harmonic analysis, and number theory, and results in one area often unlock progress in the others — number theorists studying prime numbers and analysts studying how waves focus and spread have both drawn on Kakeya-type reasoning before. The Fields citation recognises Wang for “her major advances in Fourier restriction and the Kakeya problem,” building on a body of work that, colleagues say, has already reshaped how both fields are studied.

A prize built around a deadline

What ties these four together isn’t a shared subject. Deng works in the mathematics of fluids and waves, Pardon in geometry inspired by string theory, Tsimerman in the arithmetic of number theory, Wang in the geometry of how shapes fill space. What they share is the medal’s defining constraint: all the work being honoured happened before each of them turned 40, a rule the medal’s namesake, the Canadian mathematician John Charles Fields, set deliberately when he funded the prize from the surplus of the 1924 mathematics congress in Toronto. Fields wanted a prize that rewarded not just what a mathematician had already done, but the likelihood that their best work was still ahead of them.

Three of the four — Deng, Pardon, and Tsimerman — did their doctoral work at Princeton, under different advisers and in different decades, a detail that says as much about how mathematical talent gets identified and trained as it does about any one institution. All four, notably, solved problems that had been sitting in plain sight for a long time: Hilbert’s sixth problem waited 125 years, the MNOP conjecture 20, the André–Oort conjecture more than three decades, and the three-dimensional Kakeya conjecture the better part of a century. None of the four found a shortcut. Each built, over years, the specific tools their problem needed — and then used them.

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Climate

Climate Change, Not El Niño, Is Driving Global Coral Bleaching, New Study Finds

Human-caused climate change—not El Niño—is driving global coral bleaching, according to a new Oceanography study that warns reefs face escalating risks.

Joe Jacob

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Why Human-Caused Warming Is Driving Coral Bleaching
Coral reefs are among the world's most biodiverse ecosystems but are increasingly threatened by rising ocean temperatures driven by climate change. Image credit: Francesco Ungaro /Pexels

Nearly every global coral bleaching event over the past four decades would not have occurred without human-caused climate change, according to a new study published in Oceanography. Researchers found that while El Niño can intensify ocean warming, fossil fuel-driven climate change has been the decisive factor behind mass bleaching events since 1998. The findings suggest rising global temperatures—not natural climate variability—are now the dominant threat to coral reefs and the millions of people who depend on them.

Nearly every mass coral bleaching event of the past four decades would not have happened without human-caused climate change, according to new research published in the journal Oceanography — a finding that upends the common assumption that El Niño is the primary trigger behind the world’s worst reef die-offs.

The study, led by Climate Central, examined the four global bleaching events recorded since 1998 — in 1998, 2010, 2014–2017, and 2018–2025 — periods that have typically been associated with El Niño’s warming influence on the Pacific Ocean. Researchers found that fossil fuel-driven ocean heat, not the natural climate cycle, was the fundamental force behind the bleaching and coral mortality in each case.

Climate Change Is Driving Global Coral Bleaching,

Scientists used a multi-model extreme event attribution method — a technique that isolates how much of an observed climate event can be traced to human-caused warming versus natural variability — to assess climate change’s influence on sea surface temperatures. They then layered those results onto the coral bleaching risk model developed by NOAA’s Coral Reef Watch program to calculate how much of the observed bleaching risk was attributable to each factor.

The results were stark for the most recent and most severe event. During the 2018–2025 bleaching event, the analysis found there would have been essentially no coral bleaching — and certainly no global-scale event — in a world without human-caused climate change. Of the 71 regions where bleaching was observed during that period, only one would have faced even a moderate bleaching risk absent climate change. Researchers found similar results across all of the other three global events: in each case, climate change was necessary to push ocean temperatures over the threshold at which bleaching occurs.

“Our study shows that without climate change, coral bleaching would be a rare and isolated event, and global mass coral bleaching simply would not occur,” said Andrew Pershing, Chief Program Officer at Climate Central and the study’s lead author. “Millions of people and entire countries rely on healthy coral reefs for livelihoods and food security. But our emissions of carbon pollution are causing increasingly widespread damage and death to these vital and vibrant ecosystems. Without immediate emissions reduction, coral reefs as we know them will disappear.”

What it means for the El Niño underway now

Using the same methodology, the researchers also modeled bleaching risk for the El Niño event currently underway, which began in 2026. They project that while natural El Niño-driven warming could produce low levels of bleaching risk in a handful of regions, human-caused climate change is likely to drive bleaching more broadly across the globe — with the southern Caribbean, the Central and South American coasts, and the coasts of eastern Asia identified as particular hotspots.

The researchers argue the finding matters because public discussion of bleaching events tends to focus on El Niño rather than the underlying warming trend. That framing, they say, is likely to become increasingly inaccurate: under current warming rates, the study concludes that rising temperatures driven by human-caused climate change will outweigh El Niño’s contribution in every coral-containing region on Earth by 2028.

A narrowing window for reefs already under strain

The paper adds to a growing body of evidence that coral reefs, despite some documented capacity to adapt to warmer conditions, remain at escalating risk. Absent a reduction in carbon emissions, the study’s authors conclude, continued ocean warming raises the likelihood that reef ecosystems as they currently exist could disappear permanently.

Coral reefs cover a small fraction of the ocean floor but support an outsized share of marine life, and provide fisheries, coastal protection, and tourism revenue that hundreds of millions of people depend on directly.

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The Sciences

Indian Scientists Find a New Way to Tune How Metals Interact with Light

Indian researchers have discovered a way to mechanically control how metals interact with light, opening new possibilities for programmable photonic chips and sensors.

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A scientist using a microscope and advanced laboratory equipment during nanophotonics research on the optical properties of metals.

For decades, scientists believed that a metal’s ability to interact with light was fixed once the material was made. Researchers in Bengaluru have now challenged that long-held belief by showing that simply stretching an ultrathin metal film can change its optical properties, a breakthrough that could help develop programmable optical chips and other advanced light-based technologies.

The study, led by researchers at the Jawaharlal Nehru Centre for Advanced Scientific Research (JNCASR), is the first to show that mechanical strain can directly change the way a metal responds to light. The findings could lead to reconfigurable photonic devices that work with today’s semiconductor manufacturing methods, making future optical technologies more flexible and energy efficient.

The discovery is based on a phenomenon called plasmon resonance, where free electrons on a metal’s surface move together when light falls on it. This allows light to be concentrated into extremely tiny spaces, making it useful for technologies such as highly sensitive biosensors, medical diagnostics, optical communication systems, imaging devices and photonic chips.

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 Schematic illustration of mechanical control of plasmon resonance in ultrathin films. Image credit: PIB

A key property behind this behavior is the plasma frequency, which determines how a metal responds to light. Scientists have long believed this property depends only on the metal’s composition and cannot be changed after the material is made. Although researchers have found ways to modify a metal’s optical behavior indirectly by changing its structure or surroundings, directly altering the plasma frequency had remained out of reach. The new study shows that mechanical strain can provide a simple new way to achieve this without changing the material itself.

Stretching Metal to Change Its Optical Response

To test their idea, the researchers used ultrathin films of titanium nitride (TiN), a material that is increasingly seen as an alternative to gold because it is more stable at high temperatures, resists chemical damage and is compatible with the manufacturing processes used to make computer chips.

The team produced two identical TiN films, each just 10 nanometres thick. One film was left unchanged, while the other was grown on a specially designed layer that gently stretched the material. This allowed the researchers to study the effect of mechanical strain without changing the metal’s composition.

Using high-resolution electron microscopy, they found that the stretched film responded differently to light than the unstretched one. Computer simulations explained why. Stretching the material made it easier for tiny defects, called nitrogen vacancies, to form inside the crystal. These defects released extra free electrons, increasing the number of electrons available to interact with light and changing the metal’s optical behaviour. Additional spectroscopy and X-ray diffraction experiments confirmed the results.

Why the Discovery Matters

The ability to change a metal’s optical properties using mechanical strain could open new possibilities for photonic technologies, which use light instead of electricity to process and transfer information. Compared with conventional electronics, photonic devices can operate at much higher speeds while using less energy and producing less heat.

Today, most plasmonic devices have fixed properties once they are manufactured. This limits how they can be used. The new approach suggests that future optical devices could be adjusted even after they are made, making them more versatile and easier to adapt for different applications. Such devices could improve optical sensors, imaging systems, communication technologies and next-generation computer chips.

“Our work shows that strain is a powerful and previously underexplored control knob for plasmonic properties in metals,” said Bivas Saha, Associate Professor at JNCASR and the study’s corresponding author. “The ability to mechanically reconfigure the optical response of a CMOS-compatible material like TiN transforms plasmonics from a static platform to an active and programmable one.”

The research also involved collaborators from the University of Sydney, Australia.

Although the study is still at the fundamental research stage, it challenges a long-held understanding of how metals behave and offers scientists a new way to design materials whose optical properties can be adjusted when needed. As demand grows for faster communication systems, artificial intelligence hardware and compact optical devices, the discovery could help lay the groundwork for a new generation of programmable photonic technologies.

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