GRENOBLE, France – March 8, 2021 – Taking a step toward developing LiDAR systems for widespread commercial applications, CEA-Leti has developed genetic algorithms to calibrate high-channel-count optical phased arrays (OPAs), as well as an advanced measurement setup enabling wafer-scale OPA characterization. OPAs are an emerging technology made of arrays of closely spaced (around 1µm) optical antennas […]
High Speed Data Capture for AI on the Fly Edge Applications
August 8, 2019 by
In many AI applications, transporting large amounts of data back to a remote datacenter is impractical and undesirable. With AI on the Fly, the entire AI workflow resides at the edge at the data source. One Stop Systems’s Tim Miller explores how high performance scalable data acquisition is a fundamental and enabling component of this emerging new paradigm.
Supercomputing Sheds Light on Leaf Study
January 7, 2017 by
A new study led by a research scientist at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) highlights a literally shady practice in plant science that has in some cases underestimated plants’ rate of growth and photosynthesis, among other traits. “More standardized fieldwork, in parallel with new computational tools and theoretical work, will contribute to better global plant models,” Keenan said.
