Modeling computers after brains
A new Texas A&M research group is drawing inspiration from the human brain to rethink the computer.
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A new Texas A&M research group is drawing inspiration from the human brain to rethink the computer.
Texas A&M will lead the Department of Energy-funded Energy Frontier Research Center.
In honor of their outstanding work achievement during the past year at Texas A&M, Distinguished Day celebrated a number of notable faculty and staff members as well as graduate students.
LLNL An analytical technique – known as Droplet™ Digital Polymerase Chain Reaction (ddPCR) – that was developed by LLNL scientists and engineers, has garnered an Impact Award from the Federal Laboratory Consortium. The technology has been commercialized by Bio-Rad Laboratories. Researchers from Lawrence Livermore National Laboratory (LLNL) and their colleagues who help them commercialize technologies have won three national technology transfer awards this year. The trio of awards, from the Federal Laboratory Consortium (FLC), represent the most national awards that LLNL has ever won in ...
Here I present another one, the Gonzales renderer, written by me. It is heavily inspired by PBRT and written in Swift (with a few lines in C++ to call OpenEXR and Ptex). It is optimized only as far as to be able to render it in a reasonable amount of time on a free Google Cloud instance (8 vCPUS, 64GB RAM). As far as I know this is the only renderer able to render Moana not written in C/C++. I wrote it with vi and command line Swift on Ubuntu Linux and Xcode on macOS so it should be relatively painless to get it compiled on these platforms.