# Key Points from IRC Log (August 22, 2016)

• Researchers shared a significant paper titled "Design, synthesis, and testing toward a 57-codon genome" published in Science, representing important work in synthetic biology and genome engineering.

• A discussion occurred about biological data storage techniques, specifically referencing "ticker tape" technology that stores data via mutations in DNA, with links to Reddit discussions and related research.

• MIT researchers presented work on combining simulation and experiment for nanoscale 3D printing, with a video demonstration and technical paper shared in the channel.

• A paper on "Light-Driven Soft Robot Mimics Caterpillar Locomotion in Natural Scale" was discussed, featuring a monolithic caterpillar robot based on an optomechanical liquid crystalline elastomer with patterned molecular alignment.

• Several machine learning resources were shared, including a practical guide to Recurrent Neural Networks (RNNs) in TensorFlow and techniques for JIT native code generation for TensorFlow computation graphs using Python and LLVM.

• Links were provided to static compilation tools for deep learning models, including liblikely.org for Caffe models and a blog post about TensorFlow/LLVM integration.

• A GitHub repository for BRL-CAD model slices and raster generation was shared, with a request for guidance on exporting points to G-code for 3D printing applications.

• A discussion about EpiPen manufacturing issues was referenced with a link to a Hacker News thread analyzing the manufacturing and regulatory challenges.