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Results for "petroglyphs"

Rock art shows earliest known humans returned to Arabia after the last Ice Age

KAUST ·

A Heritage Commission and KAUST collaboration published in Nature Communications reveals the discovery of large-scale rock art panels in the Nefud Desert, dating back 12,000 years. Over 60 panels with 176 engravings were found depicting animals like camels and ibex. Paleoenvironmental analysis indicates surface water was present 14,000 years ago, supporting early human and wildlife expansion. Why it matters: The findings revise the timeline of human repopulation in Saudi Arabia's interior deserts after the Last Glacial Maximum and demonstrate the significance of interdisciplinary research in understanding the region's climate history.

Between a rock and an art space

KAUST ·

Ivan Gromicho, a scientific illustrator at KAUST, creates visual representations of complex research findings for journals like Cell, Nature, and Science. He collaborates with KAUST faculty to transform data into comprehensible illustrations. Outside of work, Gromicho pursues rock climbing, exploring natural rock formations across Saudi Arabia. Why it matters: This highlights KAUST's support for interdisciplinary pursuits and employee well-being, fostering innovation at the intersection of science and art.

More large mammals roamed Saudi Arabia than previously thought

KAUST ·

A KAUST-led study identified 15 large mammal species that inhabited the Arabian Peninsula in the last 10,000 years, tripling previous estimates. Researchers analyzed thousands of petroglyphs from scientific expeditions, publications, and social media. The study identified two species never known to live in the region before: the greater kudu and the Somali wild ass. Why it matters: The findings provide a benchmark for rewilding efforts and inform decisions on which mammals to reintroduce to the region.

WEP 2015: Unearthing the history of Mada’in Saleh

KAUST ·

Dr. Laila Nehme, a French archaeologist from CNRS, visited KAUST as part of the Winter Enrichment Program (WEP) to discuss her work on Mada’in Saleh, also known as Al-Hijr or Hegra. Nehme co-directs the Saudi-French Archaeological Project and specializes in Nabatean epigraphy, studying the daily life of the ancient Nabateans through unearthed remains. Her team, working with the Saudi Commission for Tourism and Antiquities, is beginning its third four-year program to study the site. Why it matters: The research sheds light on the historical significance of Mada’in Saleh, a UNESCO World Heritage Site, and the Nabatean civilization's southernmost settlement, enhancing our understanding of the region's rich cultural heritage.

Utilizing artificial intelligence to uncover the Kingdom’s ancient stone structures

KAUST ·

KAUST researchers are using AI to analyze satellite imagery for the automated detection of ancient stone structures in northwest Saudi Arabia, including mustatils (rectangular structures dating to the late 6th millennium BCE) and ruins in circular and triangular shapes. They developed a deep learning algorithm trained on manually identified datasets to isolate similar features over a wide area. The tool converts detected pixels into geodetic coordinates using GPS, assembling them into an online map and database. Why it matters: This project exemplifies computational archaeology, speeding up archaeological discoveries, promoting cultural heritage, and providing a methodology useful to other sectors of the economy.

Time Travel: A Comprehensive Benchmark to Evaluate LMMs on Historical and Cultural Artifacts

arXiv ·

Researchers introduce TimeTravel, a benchmark dataset for evaluating large multimodal models (LMMs) on historical and cultural artifacts. The benchmark comprises 10,250 expert-verified samples across 266 cultures and 10 historical regions, designed to assess AI in tasks like classification and interpretation of manuscripts, artworks, inscriptions, and archaeological discoveries. The goal is to establish AI as a reliable partner in preserving cultural heritage and assisting researchers.

Machine Learning Advances aiding Recognition and Classification of Indian Monuments and Landmarks

arXiv ·

This paper surveys machine learning approaches using monument pictures for analyzing heritage sites in India. It addresses challenges in the tourism sector, such as the unavailability of trained personnel and the lack of accurate information. The research aims to provide insights for building an automated decision system to modernize the tourism experience for visitors in India.

WEP Taif Trip Educates KAUST Students with Roses, Leopards, Bustards and Ostriches

KAUST ·

A group of KAUST students visited the National Wildlife Research Center (NWRC) in Taif as part of the University's 2015 Winter Enrichment Program. The NWRC, established in 1986, focuses on preserving and reintroducing species like the houbara bustard, Arabian oryx, red-necked ostrich, and Arabian leopard. Researchers at the center track released bustards via radio transmitters, collaborating internationally to preserve their habitats. Why it matters: This highlights Saudi Arabia's commitment to wildlife conservation and international collaboration in ecological research, showcasing KAUST's engagement with regional environmental initiatives.