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Tag: machine learning

Fiber Lasers Poised to Advance Berkeley Lab’s Development of Practical Laser-Plasma Accelerators

Photo of Berkeley Lab scientist Tong Zhou working on lasers at a lab table.

AI-Fueled Software Reveals Accurate Protein Structure Prediction

X-Ray Experiments, Machine Learning Could Trim Years Off Battery R&D

A Machine Learning Solution for Designing Materials with Desired Optical Properties

9 Berkeley Lab Scientists Named 2020 AAAS Fellows

Photos - Berkeley Lab’s nine 2020 AAAS Fellows: (top row, from left to right) Wibe A. “Bert” de Jong, Spencer R. Klein, Sanjay Kumar, Mary E. Maxon, (bottom row, left to right) Esmond G. Ng, John Douglas Owens, Len Pennacchio, Robert Oliver Ritchie, and Peidong Yang.

Machine Learning Takes on Synthetic Biology: Algorithms Can Bioengineer Cells for You

Tijana Radivojevic (left) and Hector Garcia Martin work on mechanical and statistical modeling, data visualizations and metabolic maps at the Agile BioFoundry.

Clues to COVID-19 Treatments Could Be Hiding in Existing Data – These Scientists Want to Find Them 

Using Machine Learning to Estimate COVID-19’s Seasonal Cycle

map of the worldwide incidence rate of COVID-19

Machine Learning Tool Could Provide Unexpected Scientific Insights into COVID-19

Berkeley Lab researchers Kristin Persson, John Dagdelen, Gerbrand Ceder, and Amalie Trewartha on a Zoom call

Berkeley Lab Cosmologists Are Top Contenders in Machine Learning Challenge

Image - The 2020 LHC Olympics, a machine learning challenge, challenged teams to develop codes that could find a hidden signal in particle-collision data. This image shows particle-collision data captured by the ATLAS detector at CERN's Large Hadron Collider. (Credit: CERN)

Machine Learning Enhances Light-Beam Performance at the Advanced Light Source

Image - This image shows the profile of an electron beam at Berkeley Lab’s Advanced Light Source synchrotron, represented as pixels measured by a charged coupled device (CCD) sensor. When stabilized by a machine-learning algorithm, the beam has a horizontal size dimension of 49 microns root mean squared and vertical size dimension of 48 microns root mean squared. Some types of experiments require that the corresponding light beam be stable on time scales ranging from seconds to hours to ensure reliable data. (Credit: Lawrence Berkeley National Laboratory)

Machine Learning Algorithms Help Predict Traffic Headaches