| Tipoffs for Santa Fe, New Mexico (Los Alamos) Newsletter for Sunday September 01, 2019 ( 7 items ) |
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Defense Nuclear Facilities Safety Board Issues Letter on Earthquake Hazards, Safety Controls for Radioactive Waste
WASHINGTON, Aug. 23 -- The Defense Nuclear Facilities Safety Board issued the text of the following letter:
To: The Honorable Bill Foster, Co-Chair, National Labs Caucus, United States House of Representatives, 2366 Rayburn House Office Building, Washington, DC 20515
To: The Honorable Chuck Fleischmann, Co-Chair, National Labs Caucus, 2410 Rayburn House Office Building, Washington, DC 20515
To: The Honorable Ben Ray Lujan, Co-Chair, National Labs Caucus, 2323 Rayburn House Office Building, Wa
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In Case You Missed It: DOI to Treat More Than 1.2M Acres This Wildfire Season, Resources Mobilized Across the Nation
WASHINGTON, Aug. 26 -- The U.S. Department of the Interior issued the following news release:
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- Agency personnel and critical assets are poised to respond to wildfires across the country
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With peak wildfire activity predicted in the coming months, the Department of the Interior (DOI) has been working tirelessly to implement preventative measures to limit the size and scope of wildfires, treat current wildfires already underway, and protect wildfire-prone areas to best safeguard pe
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Lawrence Berkeley National Laboratory: Wildfires Could Permanently Alter Alaska's Forest Composition
WASHINGTON, Aug. 26 -- The U.S. Department of Energy's Lawrence Berkeley National Laboratory issued the following news release:
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- Berkeley Lab study finds evergreen conifer trees will decline and deciduous broadleaf trees dominate in a warmer climate with more wildfires
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This summer, Alaska has experienced record high temperatures and devastating wildfires. If such events become more frequent, how might that impact our northernmost forests? A team of researchers led by the Departm
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New Mexico Family Purchases Home With the Help of a Grant
DALLAS, Texas, Aug. 30 -- The Federal Home Loan Bank of Dallas, a district bank in the Federal Home Loan Bank System, issued the following news release:
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- New Mexico Bank & Trust and FHLB Dallas Provide Down Payment Assistance
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Before the purchase of his new home, Scot Furgason, of Ilfeld, New Mexico, was renting an apartment unit built inside of a warehouse. The empty-nester father of three and metal sculpting artist felt right at home in the rural community, occupied mostly by a
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Oak Ridge National Laboratory: Q&A With Edmon Begoli - the Need to Quantify Uncertainty in Medical AI
OAK RIDGE, Tennessee, Aug. 28 -- The U.S. Department of Energy's Oak Ridge National Laboratory issued the following news release:
Artificial intelligence (AI) techniques have the potential to support medical decision-making, from diagnosing diseases to prescribing treatments. But to prioritize patient safety, researchers and practitioners must first ensure such methods are accurate.
In a 2019 perspective published in Nature Machine Intelligence, Edmon Begoli of Oak Ridge National Laboratory, T
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Santa Fe Institute: 2019 Ulam Lectures - Lauren Ancel Meyers on Preventing Next Pandemic
SANTA FE, New Mexico, Aug. 30 -- Santa Fe Institute issued the following news release:
Infectious disease outbreaks often emerge when and where we are least equipped to detect and control them. Over the last few years, public health agencies have raced to prevent the global expansion of Ebola from Africa, Zika from South America, and avian influenza from Asia. Digital disease detection -- the use of social media and internet search data to track outbreaks -- may buy us life-saving time. Tweets,
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University of California-San Diego: Supercomputers Pave the Way for New Machine Learning Approach
LA JOLLA, California, Aug. 30 [TNSscienceresearch] -- The University of California's San Diego Campus issued the following news:
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- San Diego Supercomputer Center and Los Alamos National Laboratory aid in transfer learning
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By Kimberly Mann Bruch and Nancy Ambrosiano
According to a release issued earlier this month by the Los Alamos National Laboratory (LANL), researchers have developed a machine learning approach called transfer learning that lets them model novel materials by le
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