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Los Alamos National Laboratory

19 posts
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  • Machine Learning
  • Research

Quantum Machine Learning Hits A Limit

A new theorem from the field of quantum machine learning has poked a major hole in the accepted understanding about information scrambling. “Our theorem implies that we are not going…
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  • Data
  • Machine Learning

Machine Learning Model Generates Realistic Seismic Waveforms

SeismoGen, a machine learning technique developed at the Laboratory, is capable of generating high-quality synthetic seismic waveforms. The technique could save tedious and intensive manual labeling effort and help improve…
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  • Technology

New Biosensor Designed To Detect Toxins And More

PEGASUS, the Portable EnGineered Analytic Sensor with aUtomated Sampling, is a miniaturized waveguide-based optical sensor that can detect toxins, bacterial signatures, viral signatures, biothreats, white powders and more, from samples…
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  • Technology

Moving Toward A Clean-Energy Future By Advancing Fuel Cell Technology

The U.S. transportation industry is the nation’s largest generator of greenhouse gases, accounting for nearly one-third of climate-warming emissions. To move towards a clean-energy future, developing zero-emissions technologies for heavy-duty…
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  • Data Science
  • Science
  • Technology

New Machine Harnesses Earth’s Magnetic Field To Detect Chemicals

A Los Alamos National Laboratory-designed spectroscopy instrument allows scientists, industry, and governments to decipher even trace amounts of chemicals using the Earth’s own magnetic field. Called the Earth-field Resonance Detection…
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  • Artificial Intelligence
  • Big Data

New AI Tool Makes Vast Data Streams Intelligible And Explainable

Making sense of vast streams of big data is getting easier, thanks to an artificial-intelligence tool developed at Los Alamos National Laboratory. SmartTensors sifts through millions of millions of bytes…
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  • Data Science
  • Machine Learning
  • Research

Machine Learning Aids In Simulating Dynamics Of Interacting Atoms

Automated data set generation provides a highly diverse sampling of atomic positions for training an accurate and general machine learning model. A revolutionary machine-learning (ML) approach to simulate the motions…
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  • Data Science
  • Programming

Lack Of Symmetry In Qubits Can’t Fix Errors In Quantum Computing, But Might Explain Matter/Antimatter Imbalance

A team of quantum theorists seeking to cure a basic problem with quantum annealing computers—they have to run at a relatively slow pace to operate properly—found something intriguing instead. While…
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  • Machine Learning

Machine Learning Blazes Path To Reliable Near-term Quantum Computers

Using machine learning to develop algorithms that compensate for the crippling noise endemic on today’s quantum computers offers a way to maximize their power for reliably performing actual tasks, according…
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  • Artificial Intelligence
  • Machine Learning

AI Reveals First Direct Observation Of Rupture Propagation During Slow Quakes

Using a trained neural network and data from the North Anatolian Fault in Turkey, a research team led by Los Alamos National Laboratory revealed the first direct observation of rupture…
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