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Ilmuwan California, Amerika Serikat (AS) sedang mengembangkan sistem pendeteksi gempa bumi “ConvNetQuake” yang berbasis teknologi kecerdasan buatan (AI). Sistem ConvNetQuake mengusung jaringan neural canggih yang dapat mendeteksi dan mencari lokasi gempa bumi dengan akurat. Bahkan, ilmuwan mengklaim ConvNetQuake lebih akurat dan cepat 17 kali dari sistem pendeteksi gempa konvensional.
California scientists, United States (US) is developing "ConvNetQuake" earthquake-detection system based on artificial intelligence technology (AI). The ConvNetQuake system brings advanced neural networks that can accurately detect and locate earthquakes. In fact, scientists claim ConvNetQuake is more accurate and fast 17 times than conventional seismic detection systems.
“Sistem ini memiliki algoritma spesial yang berperan sebagai ‘seismogram’. Jadi sistem ini bisa mengukur pergerakan tanah dan mencari tahu aktivitas seismik yang
berpotensi menyebabkan gempa atau sebatas gesekan saja,” ujar ilmuwan seperti dikutip Futurism.
"This system has a special algorithm that acts as a 'seismogram'. So this system can measure the movement of the soil and find out the seismic activity
potentially causing an earthquake or just friction, "said the scientist as quoted Futurism.
Para Ilmuwan pun menggandeng Oklahoma Geological Survey untuk membuktikan sistem pendeteksi gempa itu bisa bekerja lebih cepat dari sistem konvensional di dataran AS maupun di luar AS.
The scientists also took the Oklahoma Geological Survey to prove the earthquake detection system that can work faster than conventional systems in the US and outside the US.
Kelamahannya, ConvNetQuake tidak bisa melakukan prediksi kapan gempa Bumi terjadi.
His friendliness, ConvNetQuake can not predict when earthquakes happen.
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