Tag Archives: pattern

Discover the 68,000-Year-Old Hand Claw Pattern: The Oldest Known Rock Art

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Ancient Hand Stencil: Modified to Resemble Claws

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A stunning discovery of a nearly 68,000-year-old hand stencil on the walls of a cave in Sulawesi, Indonesia, may represent the oldest known rock art. This stencil appears to have been intentionally modified, giving the fingers a claw-like appearance rather than a traditional handprint.

In recent years, Sulawesi has emerged as a significant location in human history. The island has been home to various hominin species since the earliest humans likely appeared over 1.4 million years ago, with Homo erectus making its initial known journey to the area.

In 2024, researcher Maxim Aubert and his team from Griffith University uncovered the world’s oldest known figurative art on the island, dating back at least 51,200 years. This art includes depictions of pigs alongside human-like figures. More recently, Aubert’s team reported finding 44 additional rock art sites in Southeast Sulawesi, including a hand-painted stencil at Liang Metanduno, dated to 67,800 years ago.

The previous record for the oldest known rock art, a hand-painted stencil found in a Neanderthal site in Northern Spain, is estimated to be at least 66,700 years old, making the Sulawesi find significant in the timeline of art history.

Aubert noted that the Sulawesi hand stencil exhibits signs of modification; the tip of one finger appears intentionally tapered, possibly through pigment application techniques. This unique form of hand stencil art has only been recognized in Sulawesi to date.

“This is more than just a hand pattern,” states Aubert. “They appear to be retouching it, whether with a brush or spray, achieving a similar effect.”

The purpose of this artistic technique remains unknown. Aubert speculates, “They likely aimed to mimic an animal’s claw-like appearance.”

Additional Discoveries: Animal Figures in Sulawesi Cave

Maxim Aubert

Aubert indicated that identifying the exact species that created this hand stencil remains uncertain. However, the unique artistic alterations imply it was likely made by modern humans, suggesting a connection to the ancestors of the first Australians.

Evidence from the Madjedbebe site in Arnhem Land, Australia, indicates that Homo sapiens arrived on the continent at least 60,000 years ago. Additionally, increasing evidence suggests Sulawesi is a crucial early pathway linking Southeast Asia to New Guinea and Australia.

“These discoveries have far-reaching implications for our understanding of art history,” says Aubert. “The creators of this stencil were likely among the ancestors of the first Australians, underscoring the cultural significance of their rock art, which dates back at least 68,000 years.”

Team member Adam Blum, also from Griffith University, notes that both the Neanderthal hand stencils in Spain and the Sulawesi rock art were created using similar techniques, such as spraying ochre pigments.

Intricate Details of Ancient Rock Art

Maxim Aubert

“Modern humans exhibited a distinct artistic approach,” Blum explains. “They intentionally altered the finger contours of the stencil, creating a more pointed and narrower appearance. This transformed the hand imprint into a potential representation of an animal claw.”

“Such changes highlight the creativity and imaginative capacity of modern human artists, showcasing abstract thinking not evidenced in Neanderthal hand imprints,” he adds.

Martin Poe, a researcher from the University of Western Australia in Perth, stated that this discovery confirms the world’s oldest known rock art attributed to modern humans. “The dates on the stencil correspond with the earliest known timelines for Homo sapiens. This region encompasses not just Australia but mainland Asia and Southeast Asia,” Poe concluded, emphasizing the need for further research to clarify the migration routes of early humans to Australia.

Uncovering Ancient Caves: The Origins of Humanity in Northern Spain

Embark on a journey to discover some of the world’s oldest cave paintings nestled in the beautiful landscapes of northern Spain. Travel back 40,000 years to learn how our ancestors lived, engaged in play, and crafted tools. From ancient Paleolithic art to remarkable geological forms, each cave sings a unique and timeless tale.

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Source: www.newscientist.com

Chemical Computers: Mastering Pattern Recognition and Multitasking

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Molecules can be utilized for computational tasks

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Chemical computers composed of enzyme networks can carry out a range of functions, including temperature measurement and substance identification, all while avoiding the need for reconstruction after each use. This adaptability resembles biological systems more than traditional digital circuits, indicating a potential merger of computing and biological processes.

In nature, living organisms contain molecular systems that continuously integrate chemical and physical signals. For instance, cells detect nutrients, hormones, and temperature variations, adjusting to survive. Researchers have attempted to create analogs of this biological flexibility for years, including efforts to form logic gates with DNA; however, most artificial systems fall short due to their simplicity, inflexibility, or scalability challenges.

In a novel approach, researcher Wilhelm Huck from Radboud University in the Netherlands focused on allowing enzymes to interact autonomously rather than scripting every chemical step, leading to complex behaviors capable of recognizing chemical patterns.

The research team developed a system utilizing seven distinct enzymes embedded in tiny hydrogel beads found in small tubes. A liquid is introduced to these tubes, injecting short amino acid chains called peptides, which function as the “inputs” for the computer. As the peptides travel through the enzymes, each enzyme endeavours to cleave the peptide at designated sites along its length. When one cleavage occurs, it alters the peptide’s structure and the available cleavage sites, thereby affecting the actions of other enzymes.

This interdependence of reactions means that enzymes form a dynamic chemical network continually evolving, yielding unique patterns for the system to analyze. “Enzymes serve as the hardware while peptides act as the software. We address novel challenges based on the input provided,” noted Lee Dongyang from Caltech, who was not part of the study.

For instance, temperature influences the reaction rates of the enzymes. Elevated temperatures can accelerate certain enzymes faster than others, modifying the output’s mixture of peptide fragments. By employing machine learning algorithms to analyze these fragments, the researchers were able to correlate fragment patterns with specific temperatures.

Different chemical reactions can take place over various timescales, giving these systems a type of “memory” for previous inputs, enabling them to identify patterns over time. For example, they can distinguish between rapid and slow light pulses, allowing for both reactive and adaptive processing of changes in input.

The outcome is a versatile, dynamic chemical computer that interprets signals akin to a living organism rather than a static chemical circuit. “The same network undertook multiple roles seamlessly, including chemical categorization, temperature sensing with an average error margin of around 1.3°C from 25°C to 55°C, pH classification, and even responding to light pulse periodicity,” Li indicated.

The researchers were astonished by the effectiveness of the compact computer, with Huck expressing hopes for future advancements that might convert optical and electrical signals directly into chemical reactions, mimicking the behavior of living cells. “We started with just six or seven enzymes and six peptides,” he remarked. “Just imagine the possibilities with 100 enzymes.”

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Source: www.newscientist.com

Artificial Intelligence (AI) Algorithm Successfully Deciphers Rogue Wave Pattern

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Scientists used artificial intelligence to analyze more than 1 billion waves over 700 years and developed a breakthrough formula for predicting rogue waves. This groundbreaking research, which converts vast amounts of oceanographic data into equations for the probability of adverse waves, raises questions about previous theories and has significant implications for maritime safety. This research represents a major step forward in this field in terms of the accessibility of findings and the role of AI in enhancing human understanding.

Researchers from the University of Copenhagen and the University of Victoria used over 700 years of ocean wave data, including more than a billion wave observations, and advanced artificial intelligence techniques to predict the occurrence of these threatening sea giants. Previously thought to be a myth, these unusually large and rough waves can cause serious damage to ships and oil rigs. The research team leveraged AI to analyze the vast amounts of data and create a mathematical model that provides a way to predict the occurrence of rogue waves. This new knowledge contributes to making shipping safer, and has paradigm-shifting implications for the maritime industry.

Rogue waves, perceived as a part of sailor folklore for centuries, became scientifically documented when a 26-meter high wave hit the Norwegian oil platform His Draupner in 1995. Since then, research on these extreme waves has been ongoing, culminating in the breakthrough reached by the University of Copenhagen and the University of Victoria. The research team leveraged big data on ocean movements and AI techniques to map the causal variables that lead to rogue waves, ultimately developing a model which usess artificial intelligence to calculate the probability of rogue wave formation.

Incorporating data collection from buoys at 158 locations on U.S. coasts and overseas territories and over a billion waves across 700 years, the researchers were able to use AI to analyze the vast amount of data and predict the likelihood of being hit by a huge wave at sea. The AI techniques also helped the researchers discover the causes of rogue waves and translate them into an equation that describes the recipe for rogue waves. This study also challenged common perceptions about the causes of rogue waves, establishing the dominance of a phenomenon known as “linear superposition.” This new knowledge can help the shipping industry to plan routes in advance and mitigate the risk of encountering dangerous rogue waves.

Source: scitechdaily.com