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AI Analisis Teknologi Patagonia 13.900 Tahun

Sejumlah peneliti pada National Council for Scientific and Technical Research (CONICET) asal Argentina dan Spanish National Research Council dan University of Burgos asal Spanyol,menganalisis pola mobilitas dan teknologi kelompok masyarakat pemburu dan pengumpul hasil hutan yang hidup di Patagonia, Cone selatan benua Amerika dari era 12.000 tahun silam hingga abad 19 M. Big data bukti arkeologis teknologi dan mobilitas manusia di Patagonia itu, dianalisis oleh para peneliti dengan menggunakan teknik statistik ‘automatic learning’ Artificial Intelligence (AI) (Spanish Foundation for Science and Technology, 3/12/2018).

Aplikasi teknik ‘machine learning’ (sistem statistik Artificial Intelligence) memudahkan komputer mempelajari, khususnya klasifikasi dan prediksi, banyak data teknologi dan pola mobilitas pemburu dan pengumpul hasil hutan. Hasil riset peneliti Ivan Briz i Godino, Virginia Ahedo, Myrian Álvarez, Nélida Pal, Lucas Turnes, José Ignacio Santos, Débora Zurro, Jorge Caro dan José Manuel Galán itu telah dirilis oleh Jurnal Royal Society Open Science, edisi 2018.

“It is by means of automatic classification algorithms that we have identified two technological packages or 'landscapes': one that characterizes pedestrian hunter-gatherer groups (with their own stone and bone tools) and the other characterizing those that had nautical technology, such as canoes, harpoons and mollusc shells used to make beads. In future excavations, when sets of technological elements such as those we have detected appear, we'll be able to directly deduce the type of mobility of the group or the connections with other communities,” papar peneliti Ivan Briz i Godino, arkeolog pada National Council for Scientific and Technical Research (CONICET). (Science Daily, 3/12/2018).

Hasil riset itu memudahkan pemetaan pola berpindah dan teknologi manusia Patagonia dari era Pra Masehi hingga Masehi. Manusia Patagonia tiba sekitar 6.000 tahun silam dari arah Pasifik Selatan – Cile – Patagonia. Perihal hasil dan metode riset itu, Ivan Briz i Godino menyatakan: “Here we show that it is more interesting to analyse sets of technological elements as a whole, using artificial intelligence techniques that allow us to work with large data volumes and without subjective prejudices.” (Science Daily, 3/12/2018).

Oleh: Servas Pandur