Connect with us

Published

on

In Siberia, a massive crater emerged explosively in the tundra, sending ice and rock hundreds of feet away and creating a large circular scar. This event marked the 17th crater discovered in the Yamal and Gyda peninsulas since 2013, attracting significant scientific interest. The craters are believed to be linked to climate change, with modern tools like drone photography, 3D modelling, and artificial intelligence (AI) aiding in their analysis.

Scientific Exploration

Dr Evgeny Chuvilin, lead research scientist at the Skolkovo Institute of Science and Technology’s Centre for Hydrocarbon Recovery in Moscow, highlighted that the new crater was exceptionally well-preserved, providing a rare opportunity to study a “fresh” crater, as per a CNN report. For the first time, researchers used a drone to explore the crater’s depths, reaching 10 to 15 metres below the surface. This allowed them to create a detailed 3D model of the crater, which is 30 metres deep.

Findings and Hypotheses

Igor Bogoyavlensky from the Oil and Gas Research Institute of the Russian Academy of Sciences, who operated the drone, described the difficulty of controlling it from the edge of the deep crater. The 3D model revealed unusual grottoes in the crater’s lower section, confirming the theory that methane gas builds up in an underground cavity, causing an explosive blowout and forming the crater.

Methane Sources and Climate Impact

The source of the methane remains uncertain; it may come from deep within the Earth or closer to the surface, or both. Permafrost, which stores large amounts of methane, is weakening due to rising Arctic temperatures, facilitating gas escape. Satellite imagery estimated the crater’s formation occurred between May 15 and June 9, 2020, with the crater first identified on July 16, 2020.

Future Research and Monitoring

Predicting these blowouts remains challenging, but scientists at the Woodwell Climate Research Center in Massachusetts are developing algorithms to track landscape changes and forecast potential crater formations. Their model has successfully predicted new craters and underscores the dramatic changes in the Arctic region.

Continue Reading

Science

AI Model Learns to Predict Human Gait for Smarter, Pre-Trained Exoskeleton Control

Published

on

By

Scientists at Georgia Tech have created an AI technique that pre-trains exoskeleton controllers using existing human motion datasets, removing the need for lengthy lab-based retraining. The system predicts joint behavior and assistance needs, enabling controllers that work as well as hand-tuned versions. This advance accelerates prototype development and could improve…

Continue Reading

Science

Scientists Build One of the Most Detailed Digital Simulations of the Mouse Cortex Using Japan’s Fugaku Supercomputer

Published

on

By

Researchers from the Allen Institute and Japan’s University of Electro-Communications have built one of the most detailed mouse cortex simulations ever created. Using Japan’s Fugaku supercomputer, the team modeled around 10 million neurons and 26 billion synapses, recreating realistic structure and activity. The virtual cortex offers a new platform for studying br…

Continue Reading

Science

UC San Diego Engineers Create Wearable Patch That Controls Robots Even in Chaotic Motion

Published

on

By

UC San Diego engineers have developed a soft, AI-enabled wearable patch that can interpret gestures with high accuracy even during vigorous or chaotic movement. The armband uses stretchable sensors, a custom deep-learning model, and on-chip processing to clean motion signals in real time. This breakthrough could enable intuitive robot control for rehabilitation, indus…

Continue Reading

Trending