Smartest Animals in the World: Ranking Intelligence Across Species

Animal intelligence resists simple ranking because different species evolved distinct cognitive abilities suited to their ecological niches. The scientific evidence does not support a single linear hierarchy from least to most intelligent. Instead, researchers study specific capacities such as problem-solving, tool use, social learning, memory, and communication across species including dolphins, great apes, elephants, and corvids. This article explains how scientists measure animal intelligence, what the evidence shows about cognitive abilities in several well-studied groups, and how to interpret claims about which animals are smartest. The content is written for students, researchers, life-science professionals, and informed general readers who want a balanced overview grounded in peer-reviewed research.

At a Glance

The table below summarizes cognitive abilities across several animal groups frequently discussed in intelligence research. The comparisons reflect general patterns from the scientific literature, not fixed rankings.

The scientific literature treats intelligence as multidimensional. A 1985 review in Nature noted that there is no consensus on the nature of animal intelligence despite a century of research, though work on cognitive capacities of dolphins and great apes appeared to be on the right track (Animal intelligence, Nature 1985). A related 1985 analysis argued that different behaviors requiring augmented neural processing capacity in different species represent different intelligences in the plural instead of one general trait (Animal intelligence as encephalization, Philosophical Transactions of the Royal Society B 1985).

Defining Animal Intelligence

Intelligence in animals refers to the capacity to acquire, process, store, and apply information to solve problems or adapt to new situations. Researchers do not use a single definition because the term covers many distinct abilities. Some scientists focus on learning speed, others on flexibility in novel contexts, and others on social cognition such as reading the behavior of conspecifics.

The concept of encephalization, or relative brain size after accounting for body size, has been the most precise quantitative approach to studying animal intelligence. A 1985 paper in Philosophical Transactions of the Royal Society B described encephalization as remarkably orderly in its evolution and argued that the idea of intelligence would need to be invented to explain it if it were not already known (Animal intelligence as encephalization). The same paper emphasized that the scientific question is what behaviors evolved when encephalization evolved, pointing to behaviors requiring increased neural information processing beyond what body size alone would predict.

Modern neuroscience has identified distributed brain networks associated with intelligence in humans. The Parieto-Frontal Integration Theory, based on a review of 37 neuroimaging studies, describes a network including the dorsolateral prefrontal cortex, parietal lobules, anterior cingulate, and temporal and occipital regions (The Parieto-Frontal Integration Theory of intelligence, Behavioral and Brain Sciences 2007). This work applies to human intelligence and provides a framework for understanding how brain structure relates to cognitive performance, but direct translation to non-human animals requires caution because brain organization differs across species.

How Researchers Measure Intelligence

Problem-Solving Tasks

Problem-solving tests present animals with novel challenges that require generating a new behavior or combining known behaviors in new ways. Common designs include puzzle boxes that require opening latches, pulling strings to obtain food, or navigating mazes. Success on these tasks indicates the ability to understand cause and effect relationships.

A key concern in problem-solving research is distinguishing genuine insight from trial-and-error learning. If an animal gradually improves through repeated attempts, the behavior may reflect associative learning instead of flexible problem-solving. Researchers look for sudden solutions after a period of apparent deliberation as evidence of insight, though this pattern is difficult to document reliably.

Tool Use and Manufacture

Tool use involves manipulating an external object to achieve a goal. Tool manufacture goes further by modifying an object for a specific purpose. Corvids such as New Caledonian crows manufacture hooks from twigs to extract insects from crevices. Great apes use stones to crack nuts and modify sticks to fish for termites.

Tool use provides observable evidence of means-end understanding because the animal must recognize that an object can serve as an extension of its body to achieve an outcome. However, some tool behaviors appear to be largely innate or socially transmitted through local traditions, which complicates interpretation of individual cognitive ability.

Social Learning and Imitation

Social learning occurs when an animal acquires new behavior by observing others. Imitation is a specific form of social learning where the observer copies the precise actions of a model. Dolphins have demonstrated impressive imitation abilities in controlled settings.

A 2026 study tested whether bottlenose dolphins could interpret a human pointing gesture in a novel context. Three dolphins that were already proficient at imitating a single model observed two models performing different behaviors while a trainer pointed to one model. All dolphins performed significantly above chance in selecting which model to imitate, and performance did not improve across trials, indicating spontaneous instead of learned interpretation of the gesture (Imitate that one: dolphins spontaneously interpret human pointing gesture in a novel context, Animal Cognition 2026). This finding suggests dolphins understand pointing as cooperative communication instead of a simple discriminative cue.

Memory and Sequence Learning

Memory tests assess how long animals retain information and how accurately they recall specific details. Sequence learning examines whether animals can represent and reproduce ordered information. A 2025 paper in Philosophical Transactions of the Royal Society B explored cognitive mechanisms that support and constrain sequential abilities in non-human animals (Sequences and animal intelligence, Philosophical Transactions of the Royal Society B 2025). The authors discussed a trace memory model suggesting that animals represent sequences as unstructured collections of decaying memory traces instead of representing order faithfully. This model challenges traditional interpretations of declarative and rule-based learning in animals.

The same paper noted that associative learning models can account for how animals acquire behavior sequences without precise memory of stimulus sequences. These models have proven powerful in explaining complex behavior sequences, raising questions about whether anthropocentric models are the most accurate tools for studying animal intelligence.

Dolphins

Social Cognition and Communication

Dolphins live in complex social groups that require tracking relationships, coordinating movement, and cooperating during foraging. Their large brains relative to body size and elaborate vocal repertoires have made them a focus of intelligence research for decades.

Modern dolphin training provides insight into their cognitive capacities. A 2026 perspective paper synthesized trainer-based practical knowledge within established concepts from learning theory and animal behavior (Learning, motivation, and social interaction in modern dolphin training, 2026). Major components include reinforcement-based learning, shaping, social interaction, observational learning, and exploratory and play-like interaction. Cooperative husbandry training enables voluntary participation in medical and management procedures and is considered a welfare-oriented practice.

The pointing study described earlier demonstrates that dolphins can flexibly apply the meaning of a familiar gesture in a novel context. The researchers noted that this ability parallels findings in dogs and raised the possibility that dolphins' abilities evolved through self-domestication or convergent social processes (Imitate that one, Animal Cognition 2026).

Limitations of Dolphin Research

Dolphin cognition studies typically involve small numbers of subjects because the animals are expensive to maintain and difficult to test in controlled conditions. The pointing study used only three dolphins, which limits the generalizability of the findings. Replication across additional populations and facilities is needed before firm conclusions can be drawn.

Another limitation is that dolphins in zoological facilities receive extensive training that may influence their performance on cognitive tests. The 2026 training perspective acknowledged that many practical principles of dolphin training remain insufficiently formalized in the scientific literature, which means the relationship between training history and cognitive test performance is not always clear (Learning, motivation, and social interaction in modern dolphin training).

Great Apes

Tool Use and Manufacture

Great apes, including chimpanzees, bonobos, gorillas, and orangutans, are the closest living relatives of humans and have been studied extensively for cognitive abilities. Wild chimpanzees use stones as hammers and anvils to crack nuts, modify twigs to fish for termites, and use leaves as sponges to collect water. Orangutans in some populations use sticks to extract insects from tree holes.

The diversity of tool behaviors across ape populations suggests cultural transmission, where innovations spread through social learning. This pattern indicates that apes can acquire complex behaviors from conspecifics and adapt them to local conditions.

Social Reasoning

Great apes demonstrate sophisticated social reasoning in experimental settings. They can track what other individuals know or have seen, a capacity sometimes described as theory of mind. In food competition tasks, chimpanzees choose to approach food that a dominant individual has not seen hidden, suggesting they understand the visual perspective of others.

Apes also show evidence of cooperation and negotiation. Chimpanzees in experimental tasks can coordinate actions with partners to obtain food that neither could access alone. They appear to understand when cooperation is necessary and can recruit appropriate partners.

Sequence Learning Constraints

Research on sequence learning in animals has implications for understanding ape cognition. The 2025 paper on sequences and animal intelligence highlighted combinatorial costs that arise as sequences get increasingly longer, which may hinder the development of cognitive abilities requiring faithful representation of sequences, like language (Sequences and animal intelligence). The trace memory model suggests that animals, including apes, may represent sequences as collections of decaying memory traces instead of ordered representations.

This framework has implications for interpreting ape performance on tasks that appear to require sequence understanding. Success on such tasks might reflect associative learning mechanisms instead of explicit representation of order.

Elephants

Memory and Social Knowledge

Elephants are renowned for long-term memory, particularly in social contexts. Matriarchs lead family groups and appear to remember the calls and identities of individuals from other groups over many years. This social memory likely supports cooperative behaviors such as collective defense of calves and coordinated movement across large home ranges.

Controlled studies of elephant memory are challenging because of the animals' size, longevity, and complex social needs. Most evidence comes from observational studies of wild populations and long-term monitoring programs that track individual identities and relationships.

Cognitive Flexibility

Elephants have demonstrated problem-solving abilities in experimental settings, including using tools to reach food and modifying objects to achieve goals. They also show evidence of empathy and consolation behavior, where individuals comfort distressed companions.

The emotional intelligence construct, which includes recognizing emotional states in others and using emotions to guide behavior, has been studied primarily in humans. A 2016 review in Trends in Neurosciences examined evidence from human lesion studies to identify necessary brain regions for emotional abilities (Emotional Intelligence: Lessons from Lesions, Trends in Neurosciences 2016). While this work focuses on humans, it provides a framework for considering how emotional abilities might manifest in other species with complex social lives.

Corvids

Tool Manufacture and Planning

Corvids, the bird family that includes crows, ravens, jays, and magpies, have demonstrated cognitive abilities that rival those of great apes in some domains. New Caledonian crows manufacture hooks from twigs and leaves to extract insects from crevices. They also show evidence of planning, such as caching food in locations where they will be hungry later.

Laboratory experiments have shown that scrub jays can remember what food they cached, where they cached it, and when, which allows them to retrieve perishable items before they spoil. This episodic-like memory suggests an ability to mentally travel back in time to recall specific events.

Debate Over Mechanisms

The interpretation of corvid cognition is actively debated. The 2025 paper on sequences and animal intelligence questioned whether traditional interpretations of declarative and rule-based learning in animals are accurate (Sequences and animal intelligence). The authors suggested that associative learning models can account for complex behavior sequences without requiring precise memory of stimulus sequences.

This debate matters for how we interpret corvid performance on cognitive tests. A crow that solves a novel problem might be demonstrating flexible insight or might be applying a learned rule to a superficially similar situation. Distinguishing these possibilities requires carefully designed experiments that control for prior experience.

Dogs and Domesticated Species

Reading Human Gestures

Domestic dogs have attracted research attention for their ability to read human social cues. In object-choice tasks, dogs can follow human pointing to find hidden food, and they often outperform wolves raised under similar conditions. This ability may have evolved through domestication, which selected for tolerance of and communication with humans.

The dolphin pointing study noted that dolphins' spontaneous interpretation of pointing parallels results in dogs, raising the possibility that both species evolved this ability through self-domestication or convergent social processes (Imitate that one, Animal Cognition 2026). This comparison highlights how different evolutionary paths can produce similar cognitive outcomes.

Conditioning Concerns

Traditional object-choice tasks have been criticized because success could reflect conditioned responses instead of comprehension of communicative intent. A dog might learn that pointing predicts food location without understanding that the point is intended to communicate information. Recent work has focused on testing flexible, spontaneous use of gestures in novel contexts to address this concern (Imitate that one, Animal Cognition 2026).

Swarm Intelligence and Collective Behavior

Insect Colonies

Social insects such as ants, bees, and termites exhibit collective intelligence that emerges from simple individual rules. Individual ants follow pheromone trails, and the colony as a whole finds efficient paths to food sources. Bee colonies select new nest sites through a process of democratic debate involving waggle dances.

Collective intelligence in insects does not require individual cognitive sophistication. Each insect follows local rules, and the colony-level behavior emerges from the interactions of many individuals. This distinction matters for understanding animal intelligence because it shows that complex behavior can arise without complex individual cognition.

Applications to Human Teams

Research on animal swarm intelligence has influenced the study of collective intelligence in human teams. A 2020 paper in the Journal of Intelligence examined how approaches to animal swarm intelligence can improve the study of collective intelligence in human teams (How approaches to animal swarm intelligence can improve the study of collective intelligence in human teams, Journal of Intelligence 2020). The paper explored whether principles from insect colonies and other collective animal behaviors can inform understanding of how human groups solve problems.

Crow Search Algorithms

The collective behavior of crows has inspired computational optimization algorithms. The Crow Search Algorithm is a metaheuristic technique based on the food-hiding and retrieval behavior of crows. Applications include heart disease classification through deep learning (Heart disease classification through crow intelligence optimization-based deep learning approach, International Journal of Information Technology 2023), epidemic forecasting using distributed sensing grids (Crow Search Algorithm-Optimized Swarm Intelligence Framework for Real-Time Epidemic Forecasting, Journal of Nano Molecular Intelligence and Virtual Health Systems 2025), and PID controller design in power systems (Application of a Novel Improved Crow Search Algorithm for Optimal Designing of PID Controller, ISAC3 2025).

These engineering applications draw inspiration from observed crow behavior but do not directly measure crow intelligence. They demonstrate how animal behavior can inspire technological innovation, which is a separate question from the cognitive abilities of the animals themselves.

Brain Structure and Intelligence

Encephalization

Encephalization refers to brain size relative to body size. Species with high encephalization quotients have more brain tissue than expected for their body size. Dolphins, great apes, and elephants have high encephalization quotients among mammals. Corvids have high encephalization among birds.

The 1985 paper on encephalization argued that the evolution of relative brain size is remarkably orderly and that intelligence as a concept helps explain why encephalization evolved (Animal intelligence as encephalization). The paper emphasized that different species evolved different intelligences suited to their ecological niches instead of varying amounts of a single general intelligence.

Neural Networks

Modern neuroscience has identified distributed networks that support intelligence in humans. The Parieto-Frontal Integration Theory describes a network spanning frontal, parietal, temporal, and occipital regions (The Parieto-Frontal Integration Theory of intelligence, Behavioral and Brain Sciences 2007). White matter tracts such as the arcuate fasciculus are also implicated.

Comparative neuroanatomy faces challenges because brain organization differs across species. A dolphin brain has a different structure than a crow brain, and both differ from human brains. Identifying homologous regions and networks requires careful anatomical analysis.

Neuroscience-Inspired Artificial Intelligence

The relationship between neuroscience and artificial intelligence has a long history. A 2017 review in Neuron argued that better understanding biological brains could play a vital role in building intelligent machines (Neuroscience-Inspired Artificial Intelligence, Neuron 2017). The review surveyed historical interactions between the two fields and emphasized current advances in AI inspired by neural computation in humans and other animals.

This work is relevant to animal intelligence because it shows how studying biological cognition can inform artificial systems. It also highlights the value of understanding diverse cognitive mechanisms across species.

Practical Assessment Framework

Step 1: Define the Cognitive Domain

Before evaluating intelligence in any species, specify which cognitive domain is being assessed. Memory, problem-solving, social learning, tool use, and communication are distinct abilities that may not correlate within a species. An animal that excels at social memory may perform poorly on physical problem-solving tasks.

Step 2: Review the Experimental Evidence

Examine the quality of experimental evidence for each claimed ability. Consider sample size, replication across laboratories, control conditions, and whether the task design rules out simpler explanations such as associative learning or conditioned responses.

Step 3: Consider Ecological Relevance

Evaluate whether the cognitive ability serves an adaptive function in the species' natural environment. Intelligence evolves to solve problems that matter for survival and reproduction. A species may lack a particular ability because it never needed it, not because it lacks general cognitive capacity.

Step 4: Compare Across Species With Caution

When comparing cognitive abilities across species, account for differences in sensory systems, motor capabilities, and evolutionary history. A task that requires fine motor control may disadvantage species without appropriate appendages, even if they understand the underlying problem.

Step 5: Document Observations Systematically

For those working with animals in managed care or research settings, maintain systematic records of cognitive performance. Record the task, the animal's behavior, the outcome, and any relevant contextual factors. These records support evidence-based assessment and contribute to the scientific literature.

Records and Measurements

What to Record

When assessing animal cognitive abilities, maintain records that include the species, individual identification, age, sex, and relevant history. Document the specific task or test, the number of trials, the criteria for success, and the animal's performance on each trial. Note any environmental factors that might influence performance, such as time of day, presence of other animals, or recent feeding.

How to Measure

Use standardized measures where available. For problem-solving tasks, record latency to solution, number of errors, and proportion of trials solved. For social learning tasks, record whether the observer acquired the behavior and how quickly. For memory tasks, record accuracy at different retention intervals.

Interpreting Records

Interpret records in light of the species' natural history and the individual's prior experience. An animal that has encountered similar tasks before may perform better because of learning, not because of superior intelligence. Conversely, an animal that is fearful or stressed may perform below its actual capacity.

Common Failure Patterns in Intelligence Research

Anthropomorphic Bias

Researchers may interpret animal behavior in human terms, attributing motives and thought processes that the animal may not possess. This bias can lead to overestimating cognitive abilities. The 2025 paper on sequences and animal intelligence explicitly asked what the value is of anthropocentric models in the study of animal intelligence if other models provide more accurate predictions of animal behavior (Sequences and animal intelligence).

Small Sample Sizes

Many animal cognition studies use small numbers of subjects because of practical constraints. The dolphin pointing study used three subjects (Imitate that one, Animal Cognition 2026). Small samples limit statistical power and generalizability. Findings from a few individuals may not represent the species.

Conditioning Artifacts

Animals in research settings receive extensive training that can influence test performance. An animal may solve a puzzle because it has learned general rules about how puzzles work, not because it understands the specific problem. Researchers use novel tasks and transfer tests to address this concern.

Publication Bias

Studies with positive findings are more likely to be published than studies with null results. This bias can create an inflated impression of animal cognitive abilities. Negative results are valuable for establishing the boundaries of cognitive capacities.

Welfare and Safety Context

Ethical Treatment of Research Animals

Research on animal intelligence requires attention to animal welfare. Animals should be housed in environments that meet their physical and behavioral needs. Cognitive testing should be voluntary, with animals free to participate or withdraw. Positive reinforcement methods are preferred over aversive techniques.

The dolphin training perspective emphasized that cooperative husbandry training is a welfare-oriented practice that enables voluntary participation in medical and management procedures (Learning, motivation, and social interaction in modern dolphin training). This approach respects animal autonomy while allowing necessary care.

Stress and Cognitive Performance

Stress affects cognitive performance in animals. An animal that is fearful or anxious may not demonstrate its full cognitive capacity. Researchers should monitor indicators of stress and ensure that testing conditions minimize distress.

Species-Specific Needs

Different species have different welfare needs. Social species may suffer when housed alone. Highly active species may require enrichment to prevent boredom. Cognitive testing can serve as enrichment when designed appropriately, but it should not replace other aspects of welfare.

Limitations of Intelligence Rankings

The Problem of General Intelligence

The concept of general intelligence, or a single factor that predicts performance across many cognitive tasks, is controversial even in human research. The 1985 paper on animal intelligence argued for multiple intelligences instead of a single trait (Animal intelligence as encephalization). Different species evolved different cognitive specializations, and comparing them on a single scale may be meaningless.

Ecological Validity

Laboratory tasks may not capture the cognitive abilities that matter in natural environments. An animal that performs poorly on an artificial puzzle may excel at solving problems in its natural habitat. Researchers increasingly use semi-naturalistic tasks that better reflect the challenges animals face in the wild.

Evolutionary Distance

Comparing intelligence across distantly related species is complicated by differences in sensory systems, motor abilities, and life history. A dolphin and a crow face different cognitive challenges and have different neural architectures. Their performance on the same task may not be directly comparable.

The Value of Diversity

The scientific literature increasingly emphasizes the diversity of cognitive abilities across species. Each species has evolved cognitive specializations that suit its ecological niche. Understanding this diversity is more scientifically productive than ranking species on a single scale.

Professional Escalation Criteria

When to Consult a Specialist

Farmers, animal care professionals, and researchers should consult a specialist in animal cognition or comparative psychology when designing cognitive assessments, interpreting unexpected behavioral observations, or developing enrichment programs. Specialists can help design appropriate tasks, interpret results, and avoid common methodological pitfalls.

When to Seek Veterinary Input

Changes in an animal's cognitive performance may indicate health problems. If an animal that previously performed well on cognitive tasks begins to fail, consult a veterinarian to rule out medical causes. Lead exposure, for example, can cause neurocognitive effects that may not be reversible (Lead, Pediatrics 2004). While this reference addresses children, the principle that toxic exposures can impair cognitive function applies across species.

When to Report Concerns

Animal care professionals should report concerns about cognitive decline, abnormal behavior, or welfare issues through appropriate institutional channels. Early identification of problems allows timely intervention and improves outcomes.

Frequently Asked Questions

What is the smartest animal in the world?

There is no scientifically defensible answer to this question because intelligence is multidimensional and species have different cognitive specializations. A 1985 review in Nature noted the lack of consensus on the nature of animal intelligence despite a century of research (Animal intelligence, Nature 1985). Dolphins, great apes, elephants, and corvids each demonstrate impressive cognitive abilities in different domains.

How do scientists measure animal intelligence?

Scientists measure specific cognitive abilities such as problem-solving, tool use, social learning, memory, and communication. They use controlled experiments that rule out simpler explanations like associative learning or conditioned responses. The 2025 paper on sequences and animal intelligence discussed how associative learning models can account for complex behavior sequences without requiring precise memory of stimulus sequences (Sequences and animal intelligence).

Are dolphins smarter than chimpanzees?

Dolphins and chimpanzees have different cognitive specializations that make direct comparison difficult. Dolphins excel at social learning and gesture interpretation, as shown in the pointing study where dolphins spontaneously interpreted a human point in a novel context (Imitate that one, Animal Cognition 2026). Chimpanzees excel at tool use and physical problem-solving. Both species demonstrate sophisticated cognition in their respective domains.

Can crows really solve problems?

Yes, corvids demonstrate impressive problem-solving abilities in controlled experiments. New Caledonian crows manufacture tools to extract food, and scrub jays show episodic-like memory for cached food. However, the interpretation of these abilities is debated. The 2025 paper on sequences and animal intelligence questioned whether traditional interpretations of declarative and rule-based learning in animals are accurate (Sequences and animal intelligence).

What is encephalization and why does it matter?

Encephalization is brain size relative to body size. Species with high encephalization have more brain tissue than expected for their body size. A 1985 paper argued that encephalization and its evolution are remarkably orderly and that intelligence as a concept helps explain why encephalization evolved (Animal intelligence as encephalization). The paper emphasized that different species evolved different intelligences suited to their ecological niches.

Do animals have emotional intelligence?

Emotional intelligence involves recognizing emotional states in oneself and others, using emotions to guide thought and behavior, and regulating emotions. This construct has been studied primarily in humans. A 2016 review in Trends in Neurosciences examined evidence from human lesion studies to identify necessary brain regions for emotional abilities (Emotional Intelligence: Lessons from Lesions). Animals with complex social lives likely have some capacity for emotional recognition, but direct comparisons to human emotional intelligence require caution.

How does animal intelligence research relate to artificial intelligence?

Neuroscience and artificial intelligence have a long and intertwined history. A 2017 review in Neuron argued that better understanding biological brains could play a vital role in building intelligent machines (Neuroscience-Inspired Artificial Intelligence, Neuron 2017). Studying diverse cognitive mechanisms across species can inform the design of artificial systems.

Why do some animals appear intelligent in one domain but not another?

Intelligence is multidimensional, and species evolve cognitive specializations that suit their ecological niches. An animal may excel at social memory because it lives in complex social groups but perform poorly on physical problem-solving tasks it rarely encounters in nature. The 1985 paper on encephalization argued that different behaviors requiring augmented processing capacity in different species are evidence of different intelligences in the plural (Animal intelligence as encephalization).

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References and Further Reading

• NCBI Literature Resources. National Center for Biotechnology Information.
• PubMed. National Library of Medicine.
• Neuroscience-Inspired Artificial Intelligence.. Neuron, 2017.
• 'Emotional Intelligence': Lessons from Lesions.. Trends in neurosciences, 2016.
• Animal intelligence.. Nature, 1985.
• Sugar addiction: the state of the science.. European journal of nutrition, 2016.
• The Parieto-Frontal Integration Theory (P-FIT) of intelligence: converging neuroimaging evidence.. The Behavioral and brain sciences, 2007.
• Sequences and animal intelligence.. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2025.
• Animal intelligence as encephalization.. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 1985.
• Lead.. Pediatrics, 2004.
• Learning, motivation, and social interaction in modern dolphin training. 2026.
• Imitate that one: dolphins spontaneously interpret human pointing gesture in a novel context.. 2026.
• Plasma brain-derived p-tau217 for the identification of amyloid status in a memory clinic cohort.. 2026.
• Vagus Nerve Stimulation in Alzheimer's Disease and Mild Cognitive Impairment: Current Evidence and Future Directions.. 2026.
• Real-Time Robust Path Following of a Biomimetic Robotic Dolphin in Disturbance-Rich Underwater Environments.. 2025.
• Heart disease classification through crow intelligence optimization-based deep learning approach. International journal of information technology, 2023.
• Crow Search Algorithm-Optimized Swarm Intelligence Framework for Real-Time Epidemic Forecasting Using Distributed Nano-Bio-Sensing Grids. Journal of Nano Molecular Intelligence and Virtual Health Systems, 2025.
• AI Messenger on a Tree- Intelligence of Crow and Probabilistic Forecasting. International Journal of Innovative Research &amp, Growth, 2025.
• The Digital Crow's Nest: A Framework for Proactive Disaster Informatics & Resilience by Open Source Intelligence. International Conference on Information Systems for Crisis Response and Management, 2018.
• Application of a Novel Improved Crow Search Algorithm for Optimal Designing of PID Controller in Two Area Thermal Power System. 2025 International Conference on Innovations in Intelligent Systems: Advancements in Computing, Communication, and Cybersecurity (ISAC3), 2025.
• Evolution-based Deployment with Efficient Routing and Crow Search Optimization in Internet of Things Application. International Conference Intelligent Computing and Control Systems, 2025.
• Animal intelligence: Experimental studies. Animal Intelligence Experimental Studies, 2017.
• How approaches to animal swarm intelligence can improve the study of collective intelligence in human teams. Journal of Intelligence, 2020.
• Study on quantitative analysis of animal hair blended fiber content based on artificial intelligence. Journal of Instrumental Analysis, 2026.

This article is educational and does not replace institutional policy, professional advice, or applicable safety and regulatory requirements.