RSS feed source: Volcano Discovery.com--Global earthquake monitor

Wed, 4 Jun 2025, 03:55 | BY: EARTHQUAKEMONITOR

A magnitude 5.4 earthquake near Fakfak, Provinsi Papua, Indonesia, was reported only 11 minutes ago by Indonesia’s Meteorology, Climatology, and Geophysical Agency, considered the main national agency that monitors seismic activity in Indonesia. The earthquake occurred at a moderately shallow depth of 58. km beneath the epicenter around noon on Wednesday, June 4th, 2025, at 12:43 pm local time. The exact magnitude, epicenter, and depth of the quake might be revised within the next few hours or minutes as seismologists review data and refine their calculations, or as other agencies issue their report.
Our monitoring service identified a second report from the European-Mediterranean Seismological Centre (EMSC) which listed the quake at magnitude 5.5. Other agencies reporting the same quake include France’s Réseau National de Surveillance Sismique (RéNaSS) at magnitude 5.1, the citizen-seismograph network of RaspberryShake at magnitude 5.7, and the German Research Centre for Geosciences (GFZ) at magnitude 5.7.
Based on the preliminary seismic data, the quake should not have caused any significant damage, but was probably felt by many people as light vibration in the area of the epicenter.
Weak shaking might have been felt in Fakfak (pop. 18,900) located 134 km from the epicenter.
VolcanoDiscovery will automatically update magnitude and depth if these change and follow up if other significant news about the quake become

Click this link to continue reading the article on the source website.

RSS feed source: Volcano Discovery.com--Global earthquake monitor

U.S. citizens are strongly encouraged to apply

The Adaptive Real-Time Systems Laboratory (ARTS-Lab) at the University of South Carolina invites applications for a fully funded Ph.D. research assistant position devoted to advancing artificial-intelligence and machine-learning methods on small, power-constrained hardware—edge AI—for real-time, in-situ manufacturing. Our group develops novel sensors for metal and polymer additive-manufacturing (AM) processes and couples them with embedded AI to detect, diagnose, and ultimately prevent defects as parts are being built. The successful candidate will help design secure sensing pipelines, craft physics-aware ML models that ingest vibration, acoustic, thermal, LiDAR, and event-camera streams, and deploy those models on microcontrollers, FPGAs (including side-channel-resistant and cyber-hardened implementations), and emerging neuromorphic chips. Cybersecurity is a first-class concern: you will explore lightweight encryption, anomaly detection, and trusted-execution primitives so that edge devices remain resilient against tampering and data exfiltration even in harsh industrial environments. Although

Click this link to continue reading the article on the source website.