RSS feed source: USGS Earthquake Hazards Program
Time2025-06-17 14:06:19 UTC2025-06-17 14:06:19 UTC at epicenterLocation4.257°S 102.499°EDepth69.63 km (43.26 mi)
Click this link to continue reading the article on the source website.
RSS feed source: USGS Earthquake Hazards Program
Time2025-06-17 14:06:19 UTC2025-06-17 14:06:19 UTC at epicenterLocation4.257°S 102.499°EDepth69.63 km (43.26 mi)
Click this link to continue reading the article on the source website.
RSS feed source: USGS Earthquake Hazards Program
FRANKFORT, Ky. – The Disaster Recovery Center in Laurel County has relocated to offer in-person support to Kentucky survivors who experienced loss as the result of the severe storms, straight-line winds and tornadoes from May 16-17. The new location for the Disaster Recovery Center in Laurel County is:
Somerset Community College, Laurel Campus Building 2, Room 206, 100 University Drive, London, KY 40741
Working hours are 9 a.m. to 7 p.m. Eastern Time, Monday through Saturday and 1 – 7 p.m. Eastern Time, Sunday.
Disaster Recovery Centers are one-stop shops where you can get information and advice on available assistance from state, federal and community organizations. You can get help to apply for FEMA assistance, learn the status of your FEMA application, understand the letters you get from FEMA and get referrals to agencies that may offer other assistance.
FEMA is encouraging Kentuckians affected by the May tornadoes to apply for federal disaster assistance as soon as possible. The deadline to apply is July 23.
You can visit any Disaster Recovery Center to get in-person assistance. No appointment is needed. To find all other center locations, including those in other states, go to fema.gov/drc or text “DRC” and a Zip Code to 43362.
You don’t have to visit a center to apply for FEMA assistance. There are other ways to apply: online at DisasterAssistance.gov, use the FEMA App for mobile devices or
Click this link to continue reading the article on the source website.
RSS feed source: USGS Earthquake Hazards Program
Aalto University is looking for an
Postdoctoral Researcher in Artificial Intelligence / Machine Learning Engineering
to a postdoctoral-level position. The desired start dates would be as soon as possible in 2025.
Are you more of a programmer than your researcher colleagues? Are you more of a researcher than commercial developers? Do you want a career that involves research and science but isn’t the academic tenure track? The Academic Research Software Engineer position is your next step on that path.
This position will be similar to a postdoc, but with an emphasis on research infrastructure and technology rather than preparation for an academic career path. You will be involved in research, but more focused on learning and improving how computing, workflows, and data are used in research than finding your own novel research results and publishing them.
You will work in a research group
Click this link to continue reading the article on the source website.
RSS feed source: USGS Earthquake Hazards Program
The United States semiconductor industry is projected to have between 60,000 and 100,000 unfilled jobs by 2030. As the need for semiconductor technicians, engineers and scientists continues to increase, there is also a growing demand for innovative ways to train this anticipated workforce. But such training typically requires expensive clean rooms and advanced equipment, resources that many schools don’t have access to.
A team of researchers, which included high school and community college students, found a solution to this challenge by using artificial intelligence-powered virtual reality (VR) to create simulations as a cost-effective alternative for people to learn about the process of semiconductor fabrication. The results of their research, which is supported by the U.S. National Science Foundation Advanced Technological Education Micro Nano Technology Education Center at Pasadena City College (PCC), in collaboration with the University of California, Irvine (UCI), are available in the Journal of Advanced Technological Education.
“Many students, especially those at underfunded schools, never get to see or touch the real semiconductor fabrication tools,” said Kristal Hong, a member of the research team and a computer science major at UCI. “I, myself, was a community college student without access to a cleanroom, so I know how that gap can dampen student enthusiasm.”
By using AI-powered VR to create cleanroom simulations, the team is offering a learning channel outside of traditional classrooms and
Click this link to continue reading the article on the source website.