Los Alamos National Laboratory

The Los Alamos National Laboratory (LANL) was established in 1943 is a Department of Energy funded lab managed by Los Alamos National Security LLC. The primary purposes of LANL are involve national security, outer space, renewable energy, medicine, technology and nanotechnology/supercomputing. LANL conducts testing of materials and employs material engineers, chemists, physicists, biologists and other professionals. LANL publishes its findings and research on-line and news releases. LANL has an operating budget of over $2.2 billion.

Address
P.O. Box 1663. Los Alamos, NM 87545
Website
http://www.lanl.gov/
Wikipedia
http://en.wikipedia.org/wiki/Los_Alamos_National_Laboratory
Some content from Wikipedia, licensed under CC BY-SA

Security

Using AI to develop enhanced cybersecurity measures

A research team at Los Alamos National Laboratory is using artificial intelligence to address several critical shortcomings in large-scale malware analysis, making significant advancements in the classification of Microsoft ...

Computer Sciences

Novel AI framework generates images from nothing

A new, potentially revolutionary artificial intelligence framework called "Blackout Diffusion" generates images from a completely empty picture, meaning that, unlike other generative diffusion models, the machine-learning ...

Energy & Green Tech

Math allows hydrogen blend in natural gas pipelines

Mathematical modeling can show how to safely blend hydrogen with carbon dioxide for transport in existing pipeline systems. A secure and reliable transition to hydrogen is one of the proposed solutions for the shift to a ...

Engineering

New fuel cell architecture uses nanowires to deliver durability

A promising, more durable fuel cell design could help transform heavy-duty trucking and other clean fuel cell applications. Consisting of nanowires that are less susceptible to corrosion than other designs, the innovative ...

Machine learning & AI

Simple data gets the most out of quantum machine learning

New theoretical research proves that machine learning on quantum computers requires far simpler data than previously believed. The finding paves a path to maximizing the usability of today's noisy, intermediate-scale quantum ...

Engineering

Team develops alloy to boost fusion energy

A newly developed tungsten-based alloy that performs well in extreme environments similar to those in fusion reactor prototypes may help harness fusion energy.

page 1 from 3