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American Focus > Blog > Tech and Science > Stone Age hunter-gatherers may have been surprisingly skilled seafarers
Tech and Science

Stone Age hunter-gatherers may have been surprisingly skilled seafarers

Last updated: April 9, 2025 4:58 pm
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Stone Age hunter-gatherers may have been surprisingly skilled seafarers
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The discovery of evidence of prehistoric hunter-gatherers being skilled seafarers who could make long and challenging journeys has opened up new insights into the capabilities of early humans. Researchers have found artifacts in Malta that suggest humans first inhabited the Mediterranean island 8,500 years ago, about a thousand years earlier than previously believed. The findings indicate that these early settlers crossed at least 100 kilometers of open ocean to reach Malta, showcasing their ability to navigate and voyage across vast bodies of water.

The discovery challenges the long-held belief that hunter-gatherers lacked the skill and intention to make intentional sea crossings. While there have been instances of earlier sea crossings by hominids, they were often considered one-off journeys possibly gone awry due to bad weather. However, the systematic seafaring abilities of Malta’s Stone Age inhabitants suggest a different narrative. The evidence of intentional and routine sea crossings by these early humans indicates their proficiency in maritime navigation and exploration.

Excavations at a site in northern Malta called Latnija revealed sediment layers containing traces of human habitation, including hearths, stone tools, and butchered wild animal remains. Radiocarbon dating of charcoal pieces and animal bones suggests that hunter-gatherers occupied the site for a millennium starting around 8,500 years ago. The stone tools found at the site were similar to those used by hunter-gatherers on the European continent at the same time, indicating a connection between Malta’s early inhabitants and their mainland counterparts.

Although no boat remains were found at the site, the discovery of ancient canoes in northern Italy provides clues about the type of craft that may have been used for sea crossings. These canoes, carved from single tree trunks and designed for seagoing with primitive outriggers, offer insights into the seafaring capabilities of early humans. Replication experiments with similar canoes suggest that these vessels could travel at speeds of about 4 kilometers per hour, making a 100-kilometer journey feasible within approximately 25 hours.

The research sheds light on the seafaring abilities of prehistoric hunter-gatherers and highlights their remarkable skills in navigating and exploring the open ocean. The findings challenge previous assumptions about the limitations of early humans and provide new perspectives on their adaptability and resourcefulness in ancient maritime environments. Ancient seafaring skills have long been a topic of fascination for historians and archaeologists alike. A recent study led by researchers from the University of Malta has shed new light on the seafaring abilities of Stone Age hunter-gatherers in the Mediterranean region. The study, which was published in the journal Nature, presents compelling evidence that these early humans were capable of navigating the open sea.

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According to the lead researcher, Dr. Scerri, the hunter-gatherers would have had to navigate through the night, relying on their knowledge of the stars and currents to guide them. This suggests a level of sophistication and skill that was previously underestimated. The team also analyzed the DNA of an 8,000-year-old individual from Tunisia and found evidence of European hunter-gatherer ancestry. This genetic link further supports the idea that these ancient people were seafaring across the Mediterranean.

The discovery of European ancestry in an individual from Tunisia raises intriguing questions about the movement of people in the ancient world. It suggests that there were connections and exchanges between different societies in the Mediterranean region long before previously thought. Archaeologist Cyprian Broodbank, who reviewed the study, believes that this new evidence brings us closer to confirming these exchanges of people and technologies.

The findings also align with previous research that indicates the arrival of Stone Age farmers in Malta around 7,400 years ago. These farmers, who were transitioning away from a hunter-gatherer lifestyle, brought with them new agricultural practices and domesticated animals. It is speculated that the disruptions caused by the arrival of these farmers may have prompted some hunter-gatherers to seek refuge on the island of Malta.

Overall, the study provides valuable insights into the movements and interactions of ancient peoples in the Mediterranean region. It highlights the seafaring abilities of Stone Age hunter-gatherers and the connections between different societies in the distant past. As we continue to uncover more evidence from this period, our understanding of ancient seafaring and cultural exchange will undoubtedly deepen. The world of technology is constantly evolving, with new innovations and breakthroughs happening every day. One of the most exciting developments in recent years is the rise of artificial intelligence. AI is revolutionizing industries across the globe, from healthcare to finance to transportation.

Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. This technology enables machines to learn from experience, adjust to new inputs, and perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.

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One of the key benefits of artificial intelligence is its ability to automate repetitive tasks and streamline processes, ultimately saving time and increasing efficiency. For example, AI-powered chatbots are being used by businesses to provide customer service 24/7, without the need for human intervention. This not only improves customer satisfaction but also reduces the workload for human employees.

In the healthcare industry, artificial intelligence is being used to analyze medical images, predict patient outcomes, and personalize treatment plans. AI algorithms can quickly and accurately identify patterns in data that may not be visible to the human eye, leading to earlier diagnoses and more effective treatments.

In finance, artificial intelligence is being used to detect fraudulent transactions, optimize investment portfolios, and predict market trends. AI-powered algorithms can analyze vast amounts of data in real-time, enabling financial institutions to make informed decisions faster and more accurately.

In the transportation industry, artificial intelligence is being used to improve safety, reduce congestion, and enhance the overall passenger experience. Self-driving cars, powered by AI, are already on the roads in some cities, and are expected to become more widespread in the coming years.

While the potential benefits of artificial intelligence are vast, there are also concerns about its impact on jobs and privacy. As AI becomes more advanced, there is a risk that it could replace human workers in certain industries, leading to job losses and economic disruption. Additionally, there are ethical considerations around the use of AI, particularly in areas such as autonomous weapons and surveillance.

Overall, artificial intelligence has the potential to transform the way we live and work, offering new opportunities for innovation and growth. As the technology continues to evolve, it will be crucial for policymakers, businesses, and society as a whole to work together to ensure that AI is used responsibly and ethically. By harnessing the power of artificial intelligence, we can create a brighter future for all. The field of artificial intelligence (AI) has been rapidly advancing in recent years, with new breakthroughs and applications being discovered almost daily. One of the most exciting areas of development in AI is the creation of neural networks, which are computer systems modeled after the human brain that can learn and make decisions on their own.

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Neural networks are composed of layers of interconnected nodes, or artificial neurons, that work together to process input data and generate output. These networks are trained using large amounts of data, which allows them to recognize patterns and make predictions based on that information.

One of the key advantages of neural networks is their ability to adapt and improve over time. As they are exposed to more data and new situations, they can adjust their connections and parameters to optimize their performance. This allows them to learn from experience and become more accurate and efficient in their decision-making.

Neural networks have been applied to a wide range of fields, including image and speech recognition, natural language processing, and autonomous vehicles. For example, in the field of healthcare, neural networks are being used to analyze medical images and diagnose diseases with a high degree of accuracy. In finance, they are being used to predict market trends and optimize trading strategies. In manufacturing, they are being used to improve quality control and optimize production processes.

Despite their many advantages, neural networks also face challenges and limitations. One of the biggest challenges is the “black box” problem, where the inner workings of the network are not easily interpretable by humans. This can make it difficult to understand how the network arrived at a particular decision, which is a major concern in fields like healthcare and finance where transparency and accountability are crucial.

Another challenge is the need for large amounts of data to train neural networks effectively. This can be a barrier for organizations that do not have access to enough data or have data that is not of high quality. Additionally, neural networks can be computationally expensive to train and require powerful hardware to run efficiently.

Despite these challenges, the potential of neural networks to revolutionize industries and improve our daily lives is undeniable. As researchers continue to push the boundaries of AI technology, we can expect to see even more innovative applications of neural networks in the future. From healthcare to finance to manufacturing, neural networks are poised to transform the way we work and live.

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